# xarray > # xarray: N-D labeled arrays and datasets > > [![Xarray](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydata/xarray/refs/heads/main/doc/badge.json)](https://xarray.dev) > [![Powered by Pixi](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/prefix-dev/pixi/main/assets/badge/v0.json)](https://pixi.sh) > [![CI](https://github.com/pydata/xarray/actions/workflows/ci.yaml/badge.svg?branch=main)](https://github.com/pydata/xarray/actions/workflows/ci.yaml?query=branch%3Amain) > [![Code coverage](https://codecov.io/gh/pydata/xarray/branch/main/graph/badge.svg?flag=unittests)](https://codecov.io/gh/pydata/xarray) > [![Docs](https://readthedocs.org/projects/xray/badge/?version=latest)](https://docs.xarray.dev/) > [![Benchmarked with asv](https://img.shields.io/badge/benchmarked%20by-asv-green.svg?style=flat)](https://asv-runner.github.io/asv-collection/xarray/) > [![Formatted with black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black) > [![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/) > [![Available on pypi](https://img.shields.io/pypi/v/xarray.svg)](https://pypi.python.org/pypi/xarray/) > [![PyPI - Downloads](https://img.shields.io/pypi/dm/xarray)](https://pypistats.org/packages/xarray) > [![Conda - Downloads](https://img.shields.io/conda/dn/anaconda/xarray?label=conda%7Cdownloads)](https://anaconda.org/anaconda/xarray) > [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.598201.svg)](https://doi.org/10.5281/zenodo.598201) > [![Examples on binder](https://img.shields.io/badge/launch-binder-579ACA.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/weather-data.ipynb) > [![Twitter](https://img.shields.io/twitter/follow/xarray_dev?style=social)](https://x.com/xarray_dev) > > **xarray** (pronounced "ex-array", formerly known as **xray**) is an open source project and Python > package that makes working with labelled multi-dimensional arrays > simple, efficient, and fun! > > Xarray introduces labels in the form of dimensions, coordinates and > attributes on top of raw [NumPy](https://www.numpy.org)-like arrays, > which allows for a more intuitive, more concise, and less error-prone > developer experience. The package includes a large and growing library > of domain-agnostic functions for advanced analytics and visualization > with these data structures. > > Xarray was inspired by and borrows heavily from > [pandas](https://pandas.pydata.org), the popular data analysis package > focused on labelled tabular data. It is particularly tailored to working > with [netCDF](https://www.unidata.ucar.edu/software/netcdf) files, which > were the source of xarray\'s data model, and integrates tightly with > [dask](https://dask.org) for parallel computing. > > ## Why xarray? > > Multi-dimensional (a.k.a. N-dimensional, ND) arrays (sometimes called > "tensors") are an essential part of computational science. They are > encountered in a wide range of fields, including physics, astronomy, > geoscience, bioinformatics, engineering, finance, and deep learning. In > Python, [NumPy](https://www.numpy.org) provides the fundamental data > structure and API for working with raw ND arrays. However, real-world > datasets are usually more than just raw numbers; they have labels which > encode information about how the array values map to locations in space, > time, etc. > > Xarray doesn\'t just keep track of labels on arrays \-- it uses them to > provide a powerful and concise interface. For example: > > - Apply operations over dimensions by name: `x.sum('time')`. > - Select values by label instead of integer location: > `x.loc['2014-01-01']` or `x.sel(time='2014-01-01')`. > - Mathematical operations (e.g., `x - y`) vectorize across multiple > dimensions (array broadcasting) based on dimension names, not shape. > - Flexible split-apply-combine operations with groupby: > `x.groupby('time.dayofyear').mean()`. > - Database like alignment based on coordinate labels that smoothly > handles missing values: `x, y = xr.align(x, y, join='outer')`. > - Keep track of arbitrary metadata in the form of a Python dictionary: > `x.attrs`. > > ## Documentation > > Learn more about xarray in its official documentation at > . > > Try out an [interactive Jupyter > notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/weather-data.ipynb). > > ## Contributing > > You can find information about contributing to xarray at our > [Contributing > page](https://docs.xarray.dev/en/stable/contributing.html). > > ## Get in touch > > - Ask usage questions ("How do I?") on > [GitHub Discussions](https://github.com/pydata/xarray/discussions). > - Report bugs, suggest features or view the source code [on > GitHub](https://github.com/pydata/xarray). > - For less well defined questions or ideas, or to announce other > projects of interest to xarray users, use the [mailing > list](https://groups.google.com/forum/#!forum/xarray). > > ## NumFOCUS > > > > Xarray is a fiscally sponsored project of > [NumFOCUS](https://numfocus.org), a nonprofit dedicated to supporting > the open source scientific computing community. If you like Xarray and > want to support our mission, please consider making a > [donation](https://numfocus.org/donate-to-xarray) to support > our efforts. > > ## History > > Xarray is an evolution of an internal tool developed at [The Climate > Corporation](https://climate.com/). It was originally written by Climate > Corp researchers Stephan Hoyer, Alex Kleeman and Eugene Brevdo and was > released as open source in May 2014. The project was renamed from > "xray" in January 2016. Xarray became a fiscally sponsored project of > [NumFOCUS](https://numfocus.org) in August 2018. > > ## Contributors > > Thanks to our many contributors! > > [![Contributors](https://contrib.rocks/image?repo=pydata/xarray)](https://github.com/pydata/xarray/graphs/contributors) > > ## License > > Copyright 2014-2024, xarray Developers > > Licensed under the Apache License, Version 2.0 (the "License"); you > may not use this file except in compliance with the License. You may > obtain a copy of the License at > > > > Unless required by applicable law or agreed to in writing, software > distributed under the License is distributed on an "AS IS" BASIS, > WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. > See the License for the specific language governing permissions and > limitations under the License. > > Xarray bundles portions of pandas, NumPy and Seaborn, all of which are > available under a "3-clause BSD" license: > > - pandas: `setup.py`, `xarray/util/print_versions.py` > - NumPy: `xarray/compat/npcompat.py` > - Seaborn: `_determine_cmap_params` in `xarray/plot/utils.py` > > Xarray also bundles portions of CPython, which is available under the > "Python Software Foundation License" in `xarray/namedarray/pycompat.py`. > > Xarray uses icons from the icomoon package (free version), which is > available under the "CC BY 4.0" license. > > The full text of these licenses are included in the licenses directory. 2014-2026, xarray Developers ## Pages - [Xarray documentation](index.html.md): Xarray makes working with labelled multi-dimensional arrays in Python simple, - [Getting Started](getting-started-guide/index.html.md): The getting started guide aims to get you using Xarray productively as quickly as possible. - [Xarray Developer’s Guide](contribute/index.html.md): We welcome your skills and enthusiasm at the Xarray project! There are numerous opportunities to - [User Guide](user-guide/index.html.md): In this user guide, you will find detailed descriptions and - [Xarray Internals](internals/index.html.md): Xarray builds upon two of the foundational libraries of the scientific Python - [GRIB Data Example](examples/ERA5-GRIB-example.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [xarray](README.html.md): You can find information about building the docs at our [Contributing page](http:/docs.xarray.dev/en... - [ROMS Ocean Model Example](examples/ROMS_ocean_model.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [Accessors](api/accessors.html.md): | [`accessor_dt.DatetimeAccessor`](../generated/xarray.core.accessor_dt.DatetimeAccessor.md#xarray.c... - [Advanced API](api/advanced.html.md): The methods and properties here are advanced API and not recommended for use unless you know what yo... - [AI Usage Policy](contribute/ai-policy.html.md): **Note:** Some Xarray developers use AI tools as part of our development workflow. - [Api-Hidden](api-hidden.html.md): | [`core.coordinates.DatasetCoordinates.get`](generated/xarray.core.coordinates.DatasetCoordinates.g... - [API reference](api.html.md): This page provides an auto-generated summary of xarray’s API. For more details - [Applying unvectorized functions with `apply_ufunc`](examples/apply_ufunc_vectorize_1d.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [Compare weighted and unweighted mean temperature](examples/area_weighted_temperature.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [Backends](api/backends.html.md): | [`backends.BackendArray`](../generated/xarray.backends.BackendArray.md#xarray.backends.BackendArra... - [Blank template](examples/blank_template.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [Alternative chunked array types](internals/chunked-arrays.html.md): This is a *highly* experimental feature. Please report any bugs or other difficulties on [xarray’s i... - [Coarsen objects](api/coarsen.html.md): | [`DatasetCoarsen`](../generated/xarray.computation.rolling.DatasetCoarsen.md#xarray.computation.ro... - [Combining data](user-guide/combining.html.md): * For combining datasets or data arrays along a single dimension, see [concatenate](). - [Complex Numbers](user-guide/complex-numbers.html.md): Xarray leverages NumPy to seamlessly handle complex numbers in [`DataArray`](../generated/xarray.Dat... - [Computation](user-guide/computation.html.md): The labels associated with [`DataArray`](../generated/xarray.DataArray.md#xarray.DataArray) and - [Contributing to xarray](contribute/contributing.html.md): Large parts of this document came from the [Pandas Contributing - [Coordinates](api/coordinates.html.md): | [`Coordinates`](../generated/xarray.Coordinates.md#xarray.Coordinates)([coords, indexes]) ... - [Parallel Computing with Dask](user-guide/dask.html.md): ```ipython3 - [Data Structures](user-guide/data-structures.html.md): [`xarray.DataArray`](../generated/xarray.DataArray.md#xarray.DataArray) is xarray’s implementation o... - [DataArray](api/dataarray.html.md): | [`DataArray`](../generated/xarray.DataArray.md#xarray.DataArray)([data, coords, dims, name, attrs,... - [Dataset](api/dataset.html.md): | [`Dataset`](../generated/xarray.Dataset.md#xarray.Dataset)([data_vars, coords, attrs]) | A multi... - [DataTree](api/datatree.html.md): Methods of creating a `DataTree`. - [Deprecated / Pending Deprecation](api/deprecated.html.md): | [`Dataset.drop`](../generated/xarray.Dataset.drop.md#xarray.Dataset.drop)([labels, dim, errors]) ... - [Developers meeting](contribute/developers-meeting.html.md): Xarray developers meet bi-weekly every other Wednesday. - [Integrating with duck arrays](internals/duck-arrays-integration.html.md): This is an experimental feature. Please report any bugs or other difficulties on [xarray’s issue tra... - [Working with numpy-like arrays](user-guide/duckarrays.html.md): NumPy-like arrays (often known as [duck array](terminology.md#term-duck-array)s) are drop-in replace... - [Xarray related projects](user-guide/ecosystem.html.md): Below is a list of existing open source projects that build - [Encoding/Decoding](api/encoding.html.md): | [`decode_cf`](../generated/xarray.decode_cf.md#xarray.decode_cf)(obj[, concat_characters, ...]) ... - [Exceptions](api/exceptions.html.md): | [`AlignmentError`](../generated/xarray.AlignmentError.md#xarray.AlignmentError) ... - [Extending xarray using accessors](internals/extending-xarray.html.md): Xarray is designed as a general purpose library and hence tries to avoid - [Frequently Asked Questions](get-help/faq.html.md): [pandas](https://pandas.pydata.org) is a very popular data analysis package in Python - [Gallery](gallery.html.md): Here’s a list of examples on how to use xarray. We will be adding more examples soon. - [GroupBy: Group and Bin Data](user-guide/groupby.html.md): Often we want to bin or group data, produce statistics (mean, variance) on - [GroupBy objects](api/groupby.html.md): | [`DatasetGroupBy`](../generated/xarray.core.groupby.DatasetGroupBy.md#xarray.core.groupby.DatasetG... - [Getting Help](get-help/help-diagram.html.md): Navigating the wealth of resources available for Xarray can be overwhelming. - [Hierarchical data](user-guide/hierarchical-data.html.md): Many real-world datasets are composed of multiple differing components, - [How to add a new backend](internals/how-to-add-new-backend.html.md): Adding a new backend for read support to Xarray does not require - [How to create a custom index](internals/how-to-create-custom-index.html.md): This feature is highly experimental. Support for custom indexes has been - [How do I …](get-help/howdoi.html.md): | How do I… | Solution ... - [Indexes](api/indexes.html.md): See the Xarray gallery on [custom indexes](https://xarray-indexes.readthedocs.io/) for more examples... - [Indexing and selecting data](user-guide/indexing.html.md): Xarray offers extremely flexible indexing routines that combine the best - [Installation](getting-started-guide/installing.html.md): - Python (3.11 or later) - [Internal Design](internals/internal-design.html.md): This page gives an overview of the internal design of xarray. - [Interoperability of Xarray](internals/interoperability.html.md): Xarray is designed to be extremely interoperable, in many orthogonal ways. - [Interpolating data](user-guide/interpolation.html.md): Xarray offers flexible interpolation routines, which have a similar interface - [Reading and writing files](user-guide/io.html.md): Xarray supports direct serialization and IO to several file formats, from - [IO / Conversion](api/io.html.md): | [`load_dataset`](../generated/xarray.load_dataset.md#xarray.load_dataset)(filename_or_obj, \*\*kwa... - [Calculating Seasonal Averages from Time Series of Monthly Means](examples/monthly-means.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [Working with Multidimensional Coordinates](examples/multidimensional-coords.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [Configuration](user-guide/options.html.md): Xarray offers a small number of configuration options through [`set_options()`](../generated/xarray.... - [Working with pandas](user-guide/pandas.html.md): One of the most important features of xarray is the ability to convert to and - [Plotting](user-guide/plotting.html.md): Labeled data enables expressive computations. These same - [Plotting](api/plotting.html.md): | [`Dataset.plot.scatter`](../generated/xarray.Dataset.plot.scatter.md#xarray.Dataset.plot.scatter)(... - [Quick overview](getting-started-guide/quick-overview.html.md): Here are some quick examples of what you can do with [`xarray.DataArray`](../generated/xarray.DataAr... - [Resample objects](api/resample.html.md): | [`DatasetResample`](../generated/xarray.core.resample.DatasetResample.md#xarray.core.resample.Data... - [Reshaping and reorganizing data](user-guide/reshaping.html.md): Reshaping and reorganizing data refers to the process of changing the structure or organization of d... - [Development roadmap](roadmap.html.md): Authors: Xarray developers - [Exponential rolling objects](api/rolling-exp.html.md): | [`RollingExp`](../generated/xarray.computation.rolling_exp.RollingExp.md#xarray.computation.rollin... - [Rolling objects](api/rolling.html.md): | [`DatasetRolling`](../generated/xarray.computation.rolling.DatasetRolling.md#xarray.computation.ro... - [Social Media](get-help/socials.html.md): Xarray is active on several social media platforms. We use these platforms to share updates and conn... - [Terminology](user-guide/terminology.html.md): *Xarray terminology differs slightly from CF, mathematical conventions, and - [Testing your code](user-guide/testing.html.md): Testing with hypothesis is a fairly advanced topic. Before reading this section it is recommended th... - [Testing](api/testing.html.md): | [`testing.assert_equal`](../generated/xarray.testing.assert_equal.md#xarray.testing.assert_equal)(... - [Time Coding](internals/time-coding.html.md): This page gives an overview how xarray encodes and decodes times and which conventions and functions... - [Time series data](user-guide/time-series.html.md): A major use case for xarray is multi-dimensional time-series data. - [Top-level functions](api/top-level.html.md): For worked examples and advanced usage of `apply_ufunc`, see the - [Tutorial](api/tutorial.html.md): | [`tutorial.open_dataset`](../generated/xarray.tutorial.open_dataset.md#xarray.tutorial.open_datase... - [Tutorials and Videos](getting-started-guide/tutorials-and-videos.html.md): There are an abundance of tutorials and videos available for learning how to use *xarray*. - [Universal functions](api/ufuncs.html.md): These functions are equivalent to their NumPy versions, but for xarray - [Visualization Gallery](examples/visualization_gallery.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [Weather and climate data](user-guide/weather-climate.html.md): Xarray can leverage metadata that follows the [Climate and Forecast (CF) conventions](https://cfconv... - [Toy weather data](examples/weather-data.html.md): You can run this notebook in a [live session](https://mybinder.org/v2/gh/pydata/xarray/doc/examples/... - [Weighted objects](api/weighted.html.md): | [`DatasetWeighted`](../generated/xarray.computation.weighted.DatasetWeighted.md#xarray.computation... - [What’s New](whats-new.html.md): This release adds support for Dask’s query-optimizing expression arrays, along - [Overview: Why xarray?](getting-started-guide/why-xarray.html.md): Xarray introduces labels in the form of dimensions, coordinates and attributes on top of - [xarray.AlignmentError](generated/xarray.AlignmentError.html.md): Error class for alignment failures due to incompatible arguments. - [xarray.CFTimeIndex.T](generated/xarray.CFTimeIndex.T.html.md): Return the transpose, which is by definition self. - [xarray.CFTimeIndex.all](generated/xarray.CFTimeIndex.all.html.md): Return whether all elements are Truthy. - [xarray.CFTimeIndex.any](generated/xarray.CFTimeIndex.any.html.md): Return whether any element is Truthy. - [xarray.CFTimeIndex.append](generated/xarray.CFTimeIndex.append.html.md): Append a collection of Index options together. - [xarray.CFTimeIndex.argmax](generated/xarray.CFTimeIndex.argmax.html.md): Return int position of the largest value in the Index. - [xarray.CFTimeIndex.argmin](generated/xarray.CFTimeIndex.argmin.html.md): Return int position of the smallest value in the Index. - [xarray.CFTimeIndex.argsort](generated/xarray.CFTimeIndex.argsort.html.md): Return the integer indices that would sort the index. - [xarray.CFTimeIndex.array](generated/xarray.CFTimeIndex.array.html.md): The ExtensionArray of the data backing this Index. - [xarray.CFTimeIndex.asi8](generated/xarray.CFTimeIndex.asi8.html.md): Convert to integers with units of microseconds since 1970-01-01. - [xarray.CFTimeIndex.asof](generated/xarray.CFTimeIndex.asof.html.md): Return the label from the index, or, if not present, the previous one. - [xarray.CFTimeIndex.asof_locs](generated/xarray.CFTimeIndex.asof_locs.html.md): Return the locations (indices) of labels in the index. - [xarray.CFTimeIndex.astype](generated/xarray.CFTimeIndex.astype.html.md): Create an Index with values cast to dtypes. - [xarray.CFTimeIndex.calendar](generated/xarray.CFTimeIndex.calendar.html.md): The calendar used by the datetimes in the index. - [xarray.CFTimeIndex.ceil](generated/xarray.CFTimeIndex.ceil.html.md): Round dates up to fixed frequency. - [xarray.CFTimeIndex.contains](generated/xarray.CFTimeIndex.contains.html.md): Needed for .loc based partial-string indexing - [xarray.CFTimeIndex.copy](generated/xarray.CFTimeIndex.copy.html.md): Make a copy of this object. - [xarray.CFTimeIndex.date_type](generated/xarray.CFTimeIndex.date_type.html.md): Page content - [xarray.CFTimeIndex.day](generated/xarray.CFTimeIndex.day.html.md): The days of the datetime - [xarray.CFTimeIndex.day_of_week](generated/xarray.CFTimeIndex.day_of_week.html.md): The day of week of the datetime - [xarray.CFTimeIndex.day_of_year](generated/xarray.CFTimeIndex.day_of_year.html.md): The ordinal day of year of the datetime - [xarray.CFTimeIndex.dayofweek](generated/xarray.CFTimeIndex.dayofweek.html.md): The day of week of the datetime - [xarray.CFTimeIndex.dayofyear](generated/xarray.CFTimeIndex.dayofyear.html.md): The ordinal day of year of the datetime - [xarray.CFTimeIndex.days_in_month](generated/xarray.CFTimeIndex.days_in_month.html.md): The number of days in the month of the datetime - [xarray.CFTimeIndex.delete](generated/xarray.CFTimeIndex.delete.html.md): Make new Index with passed location(-s) deleted. - [xarray.CFTimeIndex.difference](generated/xarray.CFTimeIndex.difference.html.md): Return a new Index with elements of index not in other. - [xarray.CFTimeIndex.drop](generated/xarray.CFTimeIndex.drop.html.md): Make new Index with passed list of labels deleted. - [xarray.CFTimeIndex.drop_duplicates](generated/xarray.CFTimeIndex.drop_duplicates.html.md): Return Index with duplicate values removed. - [xarray.CFTimeIndex.droplevel](generated/xarray.CFTimeIndex.droplevel.html.md): Return index with requested level(s) removed. - [xarray.CFTimeIndex.dropna](generated/xarray.CFTimeIndex.dropna.html.md): Return Index without NA/NaN values. - [xarray.CFTimeIndex.dtype](generated/xarray.CFTimeIndex.dtype.html.md): Return the dtype object of the underlying data. - [xarray.CFTimeIndex.duplicated](generated/xarray.CFTimeIndex.duplicated.html.md): Indicate duplicate index values. - [xarray.CFTimeIndex.empty](generated/xarray.CFTimeIndex.empty.html.md): Indicator whether Index is empty. - [xarray.CFTimeIndex.equals](generated/xarray.CFTimeIndex.equals.html.md): Determine if two Index object are equal. - [xarray.CFTimeIndex.factorize](generated/xarray.CFTimeIndex.factorize.html.md): Encode the object as an enumerated type or categorical variable. - [xarray.CFTimeIndex.fillna](generated/xarray.CFTimeIndex.fillna.html.md): Fill NA/NaN values with the specified value. - [xarray.CFTimeIndex.floor](generated/xarray.CFTimeIndex.floor.html.md): Round dates down to fixed frequency. - [xarray.CFTimeIndex.freq](generated/xarray.CFTimeIndex.freq.html.md): The frequency used by the dates in the index. - [xarray.CFTimeIndex.get_indexer](generated/xarray.CFTimeIndex.get_indexer.html.md): Compute indexer and mask for new index given the current index. - [xarray.CFTimeIndex.get_indexer_for](generated/xarray.CFTimeIndex.get_indexer_for.html.md): Guaranteed return of an indexer even when non-unique. - [xarray.CFTimeIndex.get_indexer_non_unique](generated/xarray.CFTimeIndex.get_indexer_non_unique.html.md): Compute indexer and mask for new index given the current index. - [xarray.CFTimeIndex.get_level_values](generated/xarray.CFTimeIndex.get_level_values.html.md): Return an Index of values for requested level. - [xarray.CFTimeIndex.get_loc](generated/xarray.CFTimeIndex.get_loc.html.md): Adapted from pandas.tseries.index.DatetimeIndex.get_loc - [xarray.CFTimeIndex.get_slice_bound](generated/xarray.CFTimeIndex.get_slice_bound.html.md): Calculate slice bound that corresponds to given label. - [xarray.CFTimeIndex.get_value](generated/xarray.CFTimeIndex.get_value.html.md): Adapted from pandas.tseries.index.DatetimeIndex.get_value - [xarray.CFTimeIndex.groupby](generated/xarray.CFTimeIndex.groupby.html.md): Group the index labels by a given array of values. - [xarray.CFTimeIndex.has_duplicates](generated/xarray.CFTimeIndex.has_duplicates.html.md): Check if the Index has duplicate values. - [xarray.CFTimeIndex.hasnans](generated/xarray.CFTimeIndex.hasnans.html.md): Return True if there are any NaNs. - [xarray.CFTimeIndex.hour](generated/xarray.CFTimeIndex.hour.html.md): The hours of the datetime - [xarray.CFTimeIndex](generated/xarray.CFTimeIndex.html.md): Custom Index for working with CF calendars and dates - [xarray.CFTimeIndex.identical](generated/xarray.CFTimeIndex.identical.html.md): Similar to equals, but checks that object attributes and types are also equal. - [xarray.CFTimeIndex.inferred_type](generated/xarray.CFTimeIndex.inferred_type.html.md): Return a string of the type inferred from the values. - [xarray.CFTimeIndex.insert](generated/xarray.CFTimeIndex.insert.html.md): Make new Index inserting new item at location. - [xarray.CFTimeIndex.intersection](generated/xarray.CFTimeIndex.intersection.html.md): Form the intersection of two Index objects. - [xarray.CFTimeIndex.is_](generated/xarray.CFTimeIndex.is_.html.md): More flexible, faster check like `is` but that works through views. - [xarray.CFTimeIndex.is_monotonic_decreasing](generated/xarray.CFTimeIndex.is_monotonic_decreasing.html.md): Return a boolean if the values are equal or decreasing. - [xarray.CFTimeIndex.is_monotonic_increasing](generated/xarray.CFTimeIndex.is_monotonic_increasing.html.md): Return a boolean if the values are equal or increasing. - [xarray.CFTimeIndex.is_unique](generated/xarray.CFTimeIndex.is_unique.html.md): Return if the index has unique values. - [xarray.CFTimeIndex.isin](generated/xarray.CFTimeIndex.isin.html.md): Return a boolean array where the index values are in values. - [xarray.CFTimeIndex.isna](generated/xarray.CFTimeIndex.isna.html.md): Detect missing values. - [xarray.CFTimeIndex.isnull](generated/xarray.CFTimeIndex.isnull.html.md): Detect missing values. - [xarray.CFTimeIndex.item](generated/xarray.CFTimeIndex.item.html.md): Return the first element of the underlying data as a Python scalar. - [xarray.CFTimeIndex.join](generated/xarray.CFTimeIndex.join.html.md): Compute join_index and indexers to conform data structures to the new index. - [xarray.CFTimeIndex.map](generated/xarray.CFTimeIndex.map.html.md): Map values using an input mapping or function. - [xarray.CFTimeIndex.max](generated/xarray.CFTimeIndex.max.html.md): Return the maximum value of the Index. - [xarray.CFTimeIndex.memory_usage](generated/xarray.CFTimeIndex.memory_usage.html.md): Memory usage of the values. - [xarray.CFTimeIndex.microsecond](generated/xarray.CFTimeIndex.microsecond.html.md): The microseconds of the datetime - [xarray.CFTimeIndex.min](generated/xarray.CFTimeIndex.min.html.md): Return the minimum value of the Index. - [xarray.CFTimeIndex.minute](generated/xarray.CFTimeIndex.minute.html.md): The minutes of the datetime - [xarray.CFTimeIndex.month](generated/xarray.CFTimeIndex.month.html.md): The month of the datetime - [xarray.CFTimeIndex.name](generated/xarray.CFTimeIndex.name.html.md): Return Index or MultiIndex name. - [xarray.CFTimeIndex.names](generated/xarray.CFTimeIndex.names.html.md): Get names on index. - [xarray.CFTimeIndex.nbytes](generated/xarray.CFTimeIndex.nbytes.html.md): Return the number of bytes in the underlying data. - [xarray.CFTimeIndex.ndim](generated/xarray.CFTimeIndex.ndim.html.md): Number of dimensions of the underlying data, by definition 1. - [xarray.CFTimeIndex.nlevels](generated/xarray.CFTimeIndex.nlevels.html.md): Number of levels. - [xarray.CFTimeIndex.notna](generated/xarray.CFTimeIndex.notna.html.md): Detect existing (non-missing) values. - [xarray.CFTimeIndex.notnull](generated/xarray.CFTimeIndex.notnull.html.md): Detect existing (non-missing) values. - [xarray.CFTimeIndex.nunique](generated/xarray.CFTimeIndex.nunique.html.md): Return number of unique elements in the object. - [xarray.CFTimeIndex.putmask](generated/xarray.CFTimeIndex.putmask.html.md): Return a new Index of the values set with the mask. - [xarray.CFTimeIndex.ravel](generated/xarray.CFTimeIndex.ravel.html.md): Return a view on self. - [xarray.CFTimeIndex.reindex](generated/xarray.CFTimeIndex.reindex.html.md): Create index with target’s values. - [xarray.CFTimeIndex.rename](generated/xarray.CFTimeIndex.rename.html.md): Alter Index or MultiIndex name. - [xarray.CFTimeIndex.repeat](generated/xarray.CFTimeIndex.repeat.html.md): Repeat elements of an Index. - [xarray.CFTimeIndex.round](generated/xarray.CFTimeIndex.round.html.md): Round dates to a fixed frequency. - [xarray.CFTimeIndex.searchsorted](generated/xarray.CFTimeIndex.searchsorted.html.md): Find indices where elements should be inserted to maintain order. - [xarray.CFTimeIndex.second](generated/xarray.CFTimeIndex.second.html.md): The seconds of the datetime - [xarray.CFTimeIndex.set_names](generated/xarray.CFTimeIndex.set_names.html.md): Set Index or MultiIndex name. - [xarray.CFTimeIndex.shape](generated/xarray.CFTimeIndex.shape.html.md): Return a tuple of the shape of the underlying data. - [xarray.CFTimeIndex.shift](generated/xarray.CFTimeIndex.shift.html.md): Shift the CFTimeIndex a multiple of the given frequency. - [xarray.CFTimeIndex.size](generated/xarray.CFTimeIndex.size.html.md): Return the number of elements in the underlying data. - [xarray.CFTimeIndex.slice_indexer](generated/xarray.CFTimeIndex.slice_indexer.html.md): Compute the slice indexer for input labels and step. - [xarray.CFTimeIndex.slice_locs](generated/xarray.CFTimeIndex.slice_locs.html.md): Compute slice locations for input labels. - [xarray.CFTimeIndex.sort_values](generated/xarray.CFTimeIndex.sort_values.html.md): Return a sorted copy of the index. - [xarray.CFTimeIndex.sortlevel](generated/xarray.CFTimeIndex.sortlevel.html.md): For internal compatibility with the Index API. - [xarray.CFTimeIndex.strftime](generated/xarray.CFTimeIndex.strftime.html.md): Return an Index of formatted strings specified by date_format, which - [xarray.CFTimeIndex.symmetric_difference](generated/xarray.CFTimeIndex.symmetric_difference.html.md): Compute the symmetric difference of two Index objects. - [xarray.CFTimeIndex.take](generated/xarray.CFTimeIndex.take.html.md): Return a new Index of the values selected by the indices. - [xarray.CFTimeIndex.to_datetimeindex](generated/xarray.CFTimeIndex.to_datetimeindex.html.md): If possible, convert this index to a pandas.DatetimeIndex. - [xarray.CFTimeIndex.to_flat_index](generated/xarray.CFTimeIndex.to_flat_index.html.md): Identity method. - [xarray.CFTimeIndex.to_frame](generated/xarray.CFTimeIndex.to_frame.html.md): Create a DataFrame with a column containing the Index. - [xarray.CFTimeIndex.to_list](generated/xarray.CFTimeIndex.to_list.html.md): Return a list of the values. - [xarray.CFTimeIndex.to_numpy](generated/xarray.CFTimeIndex.to_numpy.html.md): A NumPy ndarray representing the values in this Series or Index. - [xarray.CFTimeIndex.to_series](generated/xarray.CFTimeIndex.to_series.html.md): Create a Series with both index and values equal to the index keys. - [xarray.CFTimeIndex.tolist](generated/xarray.CFTimeIndex.tolist.html.md): Return a list of the values. - [xarray.CFTimeIndex.transpose](generated/xarray.CFTimeIndex.transpose.html.md): Return the transpose, which is by definition self. - [xarray.CFTimeIndex.union](generated/xarray.CFTimeIndex.union.html.md): Form the union of two Index objects. - [xarray.CFTimeIndex.unique](generated/xarray.CFTimeIndex.unique.html.md): Return unique values in the index. - [xarray.CFTimeIndex.value_counts](generated/xarray.CFTimeIndex.value_counts.html.md): Return a Series containing counts of unique values. - [xarray.CFTimeIndex.values](generated/xarray.CFTimeIndex.values.html.md): Return an array representing the data in the Index. - [xarray.CFTimeIndex.view](generated/xarray.CFTimeIndex.view.html.md): Return a view of the Index with the specified dtype or a new Index instance. - [xarray.CFTimeIndex.where](generated/xarray.CFTimeIndex.where.html.md): Replace values where the condition is False. - [xarray.CFTimeIndex.year](generated/xarray.CFTimeIndex.year.html.md): The year of the datetime - [xarray.Context](generated/xarray.Context.html.md): object carrying the information of a call - [xarray.CoordinateValidationError](generated/xarray.CoordinateValidationError.html.md): Error class for Xarray coordinate validation failures. - [xarray.Coordinates._\_delitem_\_](generated/xarray.Coordinates.__delitem__.html.md): Page content - [xarray.Coordinates._\_getitem_\_](generated/xarray.Coordinates.__getitem__.html.md): Page content - [xarray.Coordinates._\_or_\_](generated/xarray.Coordinates.__or__.html.md): Merge two sets of coordinates to create a new Coordinates object - [xarray.Coordinates._\_setitem_\_](generated/xarray.Coordinates.__setitem__.html.md): Page content - [xarray.Coordinates.assign](generated/xarray.Coordinates.assign.html.md): Assign new coordinates (and indexes) to a Coordinates object, returning - [xarray.Coordinates.copy](generated/xarray.Coordinates.copy.html.md): Return a copy of this Coordinates object. - [xarray.Coordinates.dims](generated/xarray.Coordinates.dims.html.md): Mapping from dimension names to lengths or tuple of dimension names. - [xarray.Coordinates.drop_dims](generated/xarray.Coordinates.drop_dims.html.md): Drop dimensions and associated variables from this dataset. - [xarray.Coordinates.drop_vars](generated/xarray.Coordinates.drop_vars.html.md): Drop variables from this Coordinates object. - [xarray.Coordinates.dtypes](generated/xarray.Coordinates.dtypes.html.md): Mapping from coordinate names to dtypes. - [xarray.Coordinates.equals](generated/xarray.Coordinates.equals.html.md): Two Coordinates objects are equal if they have matching variables, - [xarray.Coordinates.from_pandas_multiindex](generated/xarray.Coordinates.from_pandas_multiindex.html.md): Wrap a pandas multi-index as Xarray coordinates (dimension + levels). - [xarray.Coordinates.from_xindex](generated/xarray.Coordinates.from_xindex.html.md): Create Xarray coordinates from an existing Xarray index. - [xarray.Coordinates.get](generated/xarray.Coordinates.get.html.md): Page content - [xarray.Coordinates](generated/xarray.Coordinates.html.md): Dictionary like container for Xarray coordinates (variables + indexes). - [xarray.Coordinates.identical](generated/xarray.Coordinates.identical.html.md): Like equals, but also checks all variable attributes. - [xarray.Coordinates.indexes](generated/xarray.Coordinates.indexes.html.md): Mapping of pandas.Index objects used for label based indexing. - [xarray.Coordinates.items](generated/xarray.Coordinates.items.html.md): Page content - [xarray.Coordinates.keys](generated/xarray.Coordinates.keys.html.md): Page content - [xarray.Coordinates.merge](generated/xarray.Coordinates.merge.html.md): Merge two sets of coordinates to create a new Dataset - [xarray.Coordinates.rename_dims](generated/xarray.Coordinates.rename_dims.html.md): Returns a new object with renamed dimensions only. - [xarray.Coordinates.rename_vars](generated/xarray.Coordinates.rename_vars.html.md): Returns a new object with renamed variables. - [xarray.Coordinates.sizes](generated/xarray.Coordinates.sizes.html.md): Mapping from dimension names to lengths. - [xarray.Coordinates.to_dataset](generated/xarray.Coordinates.to_dataset.html.md): Convert these coordinates into a new Dataset. - [xarray.Coordinates.to_index](generated/xarray.Coordinates.to_index.html.md): Convert all index coordinates into a [`pandas.Index`](https://pandas.pydata.org/pandas-docs/stable/r... - [xarray.Coordinates.update](generated/xarray.Coordinates.update.html.md): Update this Coordinates variables with other coordinate variables. - [xarray.Coordinates.values](generated/xarray.Coordinates.values.html.md): Page content - [xarray.Coordinates.variables](generated/xarray.Coordinates.variables.html.md): Low level interface to Coordinates contents as dict of Variable objects. - [xarray.Coordinates.xindexes](generated/xarray.Coordinates.xindexes.html.md): Mapping of `Index` objects - [xarray.DataArray.T](generated/xarray.DataArray.T.html.md): Page content - [xarray.DataArray._\_getitem_\_](generated/xarray.DataArray.__getitem__.html.md): Page content - [xarray.DataArray._\_setitem_\_](generated/xarray.DataArray.__setitem__.html.md): Page content - [xarray.DataArray.all](generated/xarray.DataArray.all.html.md): Reduce this DataArray’s data by applying `all` along some dimension(s). - [xarray.DataArray.any](generated/xarray.DataArray.any.html.md): Reduce this DataArray’s data by applying `any` along some dimension(s). - [xarray.DataArray.argmax](generated/xarray.DataArray.argmax.html.md): Index or indices of the maximum of the DataArray over one or more dimensions. - [xarray.DataArray.argmin](generated/xarray.DataArray.argmin.html.md): Index or indices of the minimum of the DataArray over one or more dimensions. - [xarray.DataArray.argsort](generated/xarray.DataArray.argsort.html.md): Returns the indices that would sort this array. - [xarray.DataArray.as_numpy](generated/xarray.DataArray.as_numpy.html.md): Coerces wrapped data and coordinates into numpy arrays, returning a DataArray. - [xarray.DataArray.assign_attrs](generated/xarray.DataArray.assign_attrs.html.md): Assign new attrs to this object. - [xarray.DataArray.assign_coords](generated/xarray.DataArray.assign_coords.html.md): Assign new coordinates to this object. - [xarray.DataArray.astype](generated/xarray.DataArray.astype.html.md): Copy of the xarray object, with data cast to a specified type. - [xarray.DataArray.attrs](generated/xarray.DataArray.attrs.html.md): Dictionary storing arbitrary metadata with this array. - [xarray.DataArray.bfill](generated/xarray.DataArray.bfill.html.md): Fill NaN values by propagating values backward - [xarray.DataArray.broadcast_equals](generated/xarray.DataArray.broadcast_equals.html.md): Two DataArrays are broadcast equal if they are equal after - [xarray.DataArray.broadcast_like](generated/xarray.DataArray.broadcast_like.html.md): Broadcast this DataArray against another Dataset or DataArray. - [xarray.DataArray.chunk](generated/xarray.DataArray.chunk.html.md): Coerce this array’s data into a dask arrays with the given chunks. - [xarray.DataArray.chunks](generated/xarray.DataArray.chunks.html.md): Tuple of block lengths for this dataarray’s data, in order of dimensions, or None if - [xarray.DataArray.chunksizes](generated/xarray.DataArray.chunksizes.html.md): Mapping from dimension names to block lengths for this dataarray’s data. - [xarray.DataArray.clip](generated/xarray.DataArray.clip.html.md): Return an array whose values are limited to `[min, max]`. - [xarray.DataArray.close](generated/xarray.DataArray.close.html.md): Release any resources linked to this object. - [xarray.DataArray.coarsen](generated/xarray.DataArray.coarsen.html.md): Coarsen object for DataArrays. - [xarray.DataArray.combine_first](generated/xarray.DataArray.combine_first.html.md): Combine two DataArray objects, with union of coordinates. - [xarray.DataArray.compute](generated/xarray.DataArray.compute.html.md): Trigger loading data into memory and return a new dataarray. - [xarray.DataArray.conj](generated/xarray.DataArray.conj.html.md): Complex-conjugate all elements. - [xarray.DataArray.conjugate](generated/xarray.DataArray.conjugate.html.md): Complex-conjugate all elements. - [xarray.DataArray.convert_calendar](generated/xarray.DataArray.convert_calendar.html.md): Convert the DataArray to another calendar. - [xarray.DataArray.coords](generated/xarray.DataArray.coords.html.md): Mapping of [`DataArray`](xarray.DataArray.md#xarray.DataArray) objects corresponding to - [xarray.DataArray.copy](generated/xarray.DataArray.copy.html.md): Returns a copy of this array. - [xarray.DataArray.count](generated/xarray.DataArray.count.html.md): Reduce this DataArray’s data by applying `count` along some dimension(s). - [xarray.DataArray.cumprod](generated/xarray.DataArray.cumprod.html.md): Reduce this DataArray’s data by applying `cumprod` along some dimension(s). - [xarray.DataArray.cumsum](generated/xarray.DataArray.cumsum.html.md): Reduce this DataArray’s data by applying `cumsum` along some dimension(s). - [xarray.DataArray.cumulative](generated/xarray.DataArray.cumulative.html.md): Accumulating object for DataArrays. - [xarray.DataArray.curvefit](generated/xarray.DataArray.curvefit.html.md): Curve fitting optimization for arbitrary functions. - [xarray.DataArray.data](generated/xarray.DataArray.data.html.md): The DataArray’s data as an array. The underlying array type - [xarray.DataArray.diff](generated/xarray.DataArray.diff.html.md): Calculate the n-th order discrete difference along given axis. - [xarray.DataArray.differentiate](generated/xarray.DataArray.differentiate.html.md): Differentiate the array with the second order accurate central - [xarray.DataArray.dims](generated/xarray.DataArray.dims.html.md): Tuple of dimension names associated with this array. - [xarray.DataArray.dot](generated/xarray.DataArray.dot.html.md): Perform dot product of two DataArrays along their shared dims. - [xarray.DataArray.drop](generated/xarray.DataArray.drop.html.md): Backward compatible method based on drop_vars and drop_sel - [xarray.DataArray.drop_attrs](generated/xarray.DataArray.drop_attrs.html.md): Removes all attributes from the DataArray. - [xarray.DataArray.drop_duplicates](generated/xarray.DataArray.drop_duplicates.html.md): Returns a new DataArray with duplicate dimension values removed. - [xarray.DataArray.drop_encoding](generated/xarray.DataArray.drop_encoding.html.md): Return a new DataArray without encoding on the array or any attached - [xarray.DataArray.drop_indexes](generated/xarray.DataArray.drop_indexes.html.md): Drop the indexes assigned to the given coordinates. - [xarray.DataArray.drop_isel](generated/xarray.DataArray.drop_isel.html.md): Drop index positions from this DataArray. - [xarray.DataArray.drop_sel](generated/xarray.DataArray.drop_sel.html.md): Drop index labels from this DataArray. - [xarray.DataArray.drop_vars](generated/xarray.DataArray.drop_vars.html.md): Returns an array with dropped variables. - [xarray.DataArray.dropna](generated/xarray.DataArray.dropna.html.md): Returns a new array with dropped labels for missing values along - [xarray.DataArray.dt.calendar](generated/xarray.DataArray.dt.calendar.html.md): The name of the calendar of the dates. - [xarray.DataArray.dt.ceil](generated/xarray.DataArray.dt.ceil.html.md): Round timestamps upward to specified frequency resolution. - [xarray.DataArray.dt.date](generated/xarray.DataArray.dt.date.html.md): Date corresponding to datetimes - [xarray.DataArray.dt.day](generated/xarray.DataArray.dt.day.html.md): The days of the datetime - [xarray.DataArray.dt.day_of_week](generated/xarray.DataArray.dt.day_of_week.html.md): The day of the week with Monday=0, Sunday=6 - [xarray.DataArray.dt.day_of_year](generated/xarray.DataArray.dt.day_of_year.html.md): The ordinal day of the year - [xarray.DataArray.dt.dayofweek](generated/xarray.DataArray.dt.dayofweek.html.md): The day of the week with Monday=0, Sunday=6 - [xarray.DataArray.dt.dayofyear](generated/xarray.DataArray.dt.dayofyear.html.md): The ordinal day of the year - [xarray.DataArray.dt.days](generated/xarray.DataArray.dt.days.html.md): Number of days for each element - [xarray.DataArray.dt.days_in_month](generated/xarray.DataArray.dt.days_in_month.html.md): The number of days in the month - [xarray.DataArray.dt.days_in_year](generated/xarray.DataArray.dt.days_in_year.html.md): Each datetime as the year plus the fraction of the year elapsed. - [xarray.DataArray.dt.daysinmonth](generated/xarray.DataArray.dt.daysinmonth.html.md): The number of days in the month - [xarray.DataArray.dt.decimal_year](generated/xarray.DataArray.dt.decimal_year.html.md): Convert the dates as a fractional year. - [xarray.DataArray.dt.floor](generated/xarray.DataArray.dt.floor.html.md): Round timestamps downward to specified frequency resolution. - [xarray.DataArray.dt.hour](generated/xarray.DataArray.dt.hour.html.md): The hours of the datetime - [xarray.DataArray.dt.is_leap_year](generated/xarray.DataArray.dt.is_leap_year.html.md): Indicate if the date belongs to a leap year - [xarray.DataArray.dt.is_month_end](generated/xarray.DataArray.dt.is_month_end.html.md): Indicate whether the date is the last day of the month - [xarray.DataArray.dt.is_month_start](generated/xarray.DataArray.dt.is_month_start.html.md): Indicate whether the date is the first day of the month - [xarray.DataArray.dt.is_quarter_end](generated/xarray.DataArray.dt.is_quarter_end.html.md): Indicate whether the date is the last day of a quarter - [xarray.DataArray.dt.is_year_start](generated/xarray.DataArray.dt.is_year_start.html.md): Indicate whether the date is the first day of a year - [xarray.DataArray.dt.isocalendar](generated/xarray.DataArray.dt.isocalendar.html.md): Dataset containing ISO year, week number, and weekday. - [xarray.DataArray.dt.microsecond](generated/xarray.DataArray.dt.microsecond.html.md): The microseconds of the datetime - [xarray.DataArray.dt.microseconds](generated/xarray.DataArray.dt.microseconds.html.md): Number of microseconds (>= 0 and less than 1 second) for each element - [xarray.DataArray.dt.minute](generated/xarray.DataArray.dt.minute.html.md): The minutes of the datetime - [xarray.DataArray.dt.month](generated/xarray.DataArray.dt.month.html.md): The month as January=1, December=12 - [xarray.DataArray.dt.nanosecond](generated/xarray.DataArray.dt.nanosecond.html.md): The nanoseconds of the datetime - [xarray.DataArray.dt.nanoseconds](generated/xarray.DataArray.dt.nanoseconds.html.md): Number of nanoseconds (>= 0 and less than 1 microsecond) for each element - [xarray.DataArray.dt.quarter](generated/xarray.DataArray.dt.quarter.html.md): The quarter of the date - [xarray.DataArray.dt.round](generated/xarray.DataArray.dt.round.html.md): Round timestamps to specified frequency resolution. - [xarray.DataArray.dt.season](generated/xarray.DataArray.dt.season.html.md): Season of the year - [xarray.DataArray.dt.second](generated/xarray.DataArray.dt.second.html.md): The seconds of the datetime - [xarray.DataArray.dt.seconds](generated/xarray.DataArray.dt.seconds.html.md): Number of seconds (>= 0 and less than 1 day) for each element - [xarray.DataArray.dt.strftime](generated/xarray.DataArray.dt.strftime.html.md): Return an array of formatted strings specified by date_format, which - [xarray.DataArray.dt.time](generated/xarray.DataArray.dt.time.html.md): Timestamps corresponding to datetimes - [xarray.DataArray.dt.total_seconds](generated/xarray.DataArray.dt.total_seconds.html.md): Page content - [xarray.DataArray.dt.week](generated/xarray.DataArray.dt.week.html.md): The week ordinal of the year - [xarray.DataArray.dt.weekday](generated/xarray.DataArray.dt.weekday.html.md): The day of the week with Monday=0, Sunday=6 - [xarray.DataArray.dt.weekofyear](generated/xarray.DataArray.dt.weekofyear.html.md): The week ordinal of the year - [xarray.DataArray.dt.year](generated/xarray.DataArray.dt.year.html.md): The year of the datetime - [xarray.DataArray.dtype](generated/xarray.DataArray.dtype.html.md): Data-type of the array’s elements. - [xarray.DataArray.encoding](generated/xarray.DataArray.encoding.html.md): Dictionary of format-specific settings for how this array should be - [xarray.DataArray.equals](generated/xarray.DataArray.equals.html.md): True if two DataArrays have the same dimensions, coordinates and - [xarray.DataArray.expand_dims](generated/xarray.DataArray.expand_dims.html.md): Return a new object with an additional axis (or axes) inserted at - [xarray.DataArray.ffill](generated/xarray.DataArray.ffill.html.md): Fill NaN values by propagating values forward - [xarray.DataArray.fillna](generated/xarray.DataArray.fillna.html.md): Fill missing values in this object. - [xarray.DataArray.from_dict](generated/xarray.DataArray.from_dict.html.md): Convert a dictionary into an xarray.DataArray - [xarray.DataArray.from_iris](generated/xarray.DataArray.from_iris.html.md): Convert an iris.cube.Cube into an xarray.DataArray - [xarray.DataArray.from_series](generated/xarray.DataArray.from_series.html.md): Convert a pandas.Series into an xarray.DataArray. - [xarray.DataArray.get_axis_num](generated/xarray.DataArray.get_axis_num.html.md): Return axis number(s) corresponding to dimension(s) in this array. - [xarray.DataArray.get_index](generated/xarray.DataArray.get_index.html.md): Get an index for a dimension, with fall-back to a default RangeIndex - [xarray.DataArray.groupby](generated/xarray.DataArray.groupby.html.md): Returns a DataArrayGroupBy object for performing grouped operations. - [xarray.DataArray.groupby_bins](generated/xarray.DataArray.groupby_bins.html.md): Returns a DataArrayGroupBy object for performing grouped operations. - [xarray.DataArray.head](generated/xarray.DataArray.head.html.md): Return a new DataArray whose data is given by the first n - [xarray.DataArray](generated/xarray.DataArray.html.md): N-dimensional array with labeled coordinates and dimensions. - [xarray.DataArray.identical](generated/xarray.DataArray.identical.html.md): Like equals, but also checks the array name, attributes, - [xarray.DataArray.idxmax](generated/xarray.DataArray.idxmax.html.md): Return the coordinate label of the maximum value along a dimension. - [xarray.DataArray.idxmin](generated/xarray.DataArray.idxmin.html.md): Return the coordinate label of the minimum value along a dimension. - [xarray.DataArray.imag](generated/xarray.DataArray.imag.html.md): The imaginary part of the array. - [xarray.DataArray.indexes](generated/xarray.DataArray.indexes.html.md): Mapping of pandas.Index objects used for label based indexing. - [xarray.DataArray.integrate](generated/xarray.DataArray.integrate.html.md): Integrate along the given coordinate using the trapezoidal rule. - [xarray.DataArray.interp](generated/xarray.DataArray.interp.html.md): Interpolate a DataArray onto new coordinates. - [xarray.DataArray.interp_calendar](generated/xarray.DataArray.interp_calendar.html.md): Interpolates the DataArray to another calendar based on decimal year measure. - [xarray.DataArray.interp_like](generated/xarray.DataArray.interp_like.html.md): Interpolate this object onto the coordinates of another object, - [xarray.DataArray.interpolate_na](generated/xarray.DataArray.interpolate_na.html.md): Fill in NaNs by interpolating according to different methods. - [xarray.DataArray.isel](generated/xarray.DataArray.isel.html.md): Return a new DataArray whose data is given by selecting indexes - [xarray.DataArray.isin](generated/xarray.DataArray.isin.html.md): Tests each value in the array for whether it is in test elements. - [xarray.DataArray.isnull](generated/xarray.DataArray.isnull.html.md): Test each value in the array for whether it is a missing value. - [xarray.DataArray.item](generated/xarray.DataArray.item.html.md): Copy an element of an array to a standard Python scalar and return it. - [xarray.DataArray.load](generated/xarray.DataArray.load.html.md): Trigger loading data into memory and return this dataarray. - [xarray.DataArray.load_async](generated/xarray.DataArray.load_async.html.md): Trigger and await asynchronous loading of data into memory and return this dataarray. - [xarray.DataArray.loc](generated/xarray.DataArray.loc.html.md): Attribute for location based indexing like pandas. - [xarray.DataArray.map_blocks](generated/xarray.DataArray.map_blocks.html.md): Apply a function to each block of this DataArray. - [xarray.DataArray.max](generated/xarray.DataArray.max.html.md): Reduce this DataArray’s data by applying `max` along some dimension(s). - [xarray.DataArray.mean](generated/xarray.DataArray.mean.html.md): Reduce this DataArray’s data by applying `mean` along some dimension(s). - [xarray.DataArray.median](generated/xarray.DataArray.median.html.md): Reduce this DataArray’s data by applying `median` along some dimension(s). - [xarray.DataArray.min](generated/xarray.DataArray.min.html.md): Reduce this DataArray’s data by applying `min` along some dimension(s). - [xarray.DataArray.name](generated/xarray.DataArray.name.html.md): The name of this array. - [xarray.DataArray.nbytes](generated/xarray.DataArray.nbytes.html.md): Total bytes consumed by the elements of this DataArray’s data. - [xarray.DataArray.ndim](generated/xarray.DataArray.ndim.html.md): Number of array dimensions. - [xarray.DataArray.notnull](generated/xarray.DataArray.notnull.html.md): Test each value in the array for whether it is not a missing value. - [xarray.DataArray.pad](generated/xarray.DataArray.pad.html.md): Pad this array along one or more dimensions. - [xarray.DataArray.persist](generated/xarray.DataArray.persist.html.md): Trigger computation in constituent dask arrays - [xarray.DataArray.pipe](generated/xarray.DataArray.pipe.html.md): Apply `func(self, *args, **kwargs)` - [xarray.DataArray.plot.contour](generated/xarray.DataArray.plot.contour.html.md): Contour plot of 2D DataArray. - [xarray.DataArray.plot.contourf](generated/xarray.DataArray.plot.contourf.html.md): Filled contour plot of 2D DataArray. - [xarray.DataArray.plot.hist](generated/xarray.DataArray.plot.hist.html.md): Histogram of DataArray. - [xarray.DataArray.plot](generated/xarray.DataArray.plot.html.md): Default plot of DataArray using [`matplotlib.pyplot`](https://matplotlib.org/stable/api/pyplot_summa... - [xarray.DataArray.plot.imshow](generated/xarray.DataArray.plot.imshow.html.md): Image plot of 2D DataArray. - [xarray.DataArray.plot.line](generated/xarray.DataArray.plot.line.html.md): Line plot of DataArray values. - [xarray.DataArray.plot.pcolormesh](generated/xarray.DataArray.plot.pcolormesh.html.md): Pseudocolor plot of 2D DataArray. - [xarray.DataArray.plot.scatter](generated/xarray.DataArray.plot.scatter.html.md): Scatter variables against each other. - [xarray.DataArray.plot.step](generated/xarray.DataArray.plot.step.html.md): Step plot of DataArray values. - [xarray.DataArray.plot.surface](generated/xarray.DataArray.plot.surface.html.md): Surface plot of 2D DataArray. - [xarray.DataArray.polyfit](generated/xarray.DataArray.polyfit.html.md): Least squares polynomial fit. - [xarray.DataArray.prod](generated/xarray.DataArray.prod.html.md): Reduce this DataArray’s data by applying `prod` along some dimension(s). - [xarray.DataArray.quantile](generated/xarray.DataArray.quantile.html.md): Compute the qth quantile of the data along the specified dimension. - [xarray.DataArray.query](generated/xarray.DataArray.query.html.md): Return a new data array indexed along the specified - [xarray.DataArray.rank](generated/xarray.DataArray.rank.html.md): Ranks the data. - [xarray.DataArray.real](generated/xarray.DataArray.real.html.md): The real part of the array. - [xarray.DataArray.reduce](generated/xarray.DataArray.reduce.html.md): Reduce this array by applying func along some dimension(s). - [xarray.DataArray.reindex](generated/xarray.DataArray.reindex.html.md): Conform this object onto the indexes of another object, filling in - [xarray.DataArray.reindex_like](generated/xarray.DataArray.reindex_like.html.md): Conform this object onto the indexes of another object, for indexes which the - [xarray.DataArray.rename](generated/xarray.DataArray.rename.html.md): Returns a new DataArray with renamed coordinates, dimensions or a new name. - [xarray.DataArray.reorder_levels](generated/xarray.DataArray.reorder_levels.html.md): Rearrange index levels using input order. - [xarray.DataArray.resample](generated/xarray.DataArray.resample.html.md): Returns a Resample object for performing resampling operations. - [xarray.DataArray.reset_coords](generated/xarray.DataArray.reset_coords.html.md): Given names of coordinates, reset them to become variables. - [xarray.DataArray.reset_index](generated/xarray.DataArray.reset_index.html.md): Reset the specified index(es) or multi-index level(s). - [xarray.DataArray.roll](generated/xarray.DataArray.roll.html.md): Roll this array by an offset along one or more dimensions. - [xarray.DataArray.rolling](generated/xarray.DataArray.rolling.html.md): Rolling window object for DataArrays. - [xarray.DataArray.rolling_exp](generated/xarray.DataArray.rolling_exp.html.md): Exponentially-weighted moving window. - [xarray.DataArray.round](generated/xarray.DataArray.round.html.md): Page content - [xarray.DataArray.searchsorted](generated/xarray.DataArray.searchsorted.html.md): Find indices where elements of v should be inserted in a to maintain order. - [xarray.DataArray.sel](generated/xarray.DataArray.sel.html.md): Return a new DataArray whose data is given by selecting index - [xarray.DataArray.set_index](generated/xarray.DataArray.set_index.html.md): Set DataArray (multi-)indexes using one or more existing - [xarray.DataArray.set_xindex](generated/xarray.DataArray.set_xindex.html.md): Set a new, Xarray-compatible index from one or more existing - [xarray.DataArray.shape](generated/xarray.DataArray.shape.html.md): Tuple of array dimensions. - [xarray.DataArray.shift](generated/xarray.DataArray.shift.html.md): Shift this DataArray by an offset along one or more dimensions. - [xarray.DataArray.size](generated/xarray.DataArray.size.html.md): Number of elements in the array. - [xarray.DataArray.sizes](generated/xarray.DataArray.sizes.html.md): Ordered mapping from dimension names to lengths. - [xarray.DataArray.sortby](generated/xarray.DataArray.sortby.html.md): Sort object by labels or values (along an axis). - [xarray.DataArray.squeeze](generated/xarray.DataArray.squeeze.html.md): Return a new object with squeezed data. - [xarray.DataArray.stack](generated/xarray.DataArray.stack.html.md): Stack any number of existing dimensions into a single new dimension. - [xarray.DataArray.std](generated/xarray.DataArray.std.html.md): Reduce this DataArray’s data by applying `std` along some dimension(s). - [xarray.DataArray.str.capitalize](generated/xarray.DataArray.str.capitalize.html.md): Convert strings in the array to be capitalized. - [xarray.DataArray.str.casefold](generated/xarray.DataArray.str.casefold.html.md): Convert strings in the array to be casefolded. - [xarray.DataArray.str.cat](generated/xarray.DataArray.str.cat.html.md): Concatenate strings elementwise in the DataArray with other strings. - [xarray.DataArray.str.center](generated/xarray.DataArray.str.center.html.md): Pad left and right side of each string in the array. - [xarray.DataArray.str.contains](generated/xarray.DataArray.str.contains.html.md): Test if pattern or regex is contained within each string of the array. - [xarray.DataArray.str.count](generated/xarray.DataArray.str.count.html.md): Count occurrences of pattern in each string of the array. - [xarray.DataArray.str.decode](generated/xarray.DataArray.str.decode.html.md): Decode character string in the array using indicated encoding. - [xarray.DataArray.str.encode](generated/xarray.DataArray.str.encode.html.md): Encode character string in the array using indicated encoding. - [xarray.DataArray.str.endswith](generated/xarray.DataArray.str.endswith.html.md): Test if the end of each string in the array matches a pattern. - [xarray.DataArray.str.extract](generated/xarray.DataArray.str.extract.html.md): Extract the first match of capture groups in the regex pat as a new - [xarray.DataArray.str.extractall](generated/xarray.DataArray.str.extractall.html.md): Extract all matches of capture groups in the regex pat as new - [xarray.DataArray.str.find](generated/xarray.DataArray.str.find.html.md): Return lowest or highest indexes in each strings in the array - [xarray.DataArray.str.findall](generated/xarray.DataArray.str.findall.html.md): Find all occurrences of pattern or regular expression in the DataArray. - [xarray.DataArray.str.format](generated/xarray.DataArray.str.format.html.md): Perform python string formatting on each element of the DataArray. - [xarray.DataArray.str.get](generated/xarray.DataArray.str.get.html.md): Extract character number i from each string in the array. - [xarray.DataArray.str.get_dummies](generated/xarray.DataArray.str.get_dummies.html.md): Return DataArray of dummy/indicator variables. - [xarray.DataArray.str](generated/xarray.DataArray.str.html.md): Page content - [xarray.DataArray.str.index](generated/xarray.DataArray.str.index.html.md): Return lowest or highest indexes in each strings where the substring is - [xarray.DataArray.str.isalnum](generated/xarray.DataArray.str.isalnum.html.md): Check whether all characters in each string are alphanumeric. - [xarray.DataArray.str.isalpha](generated/xarray.DataArray.str.isalpha.html.md): Check whether all characters in each string are alphabetic. - [xarray.DataArray.str.isdecimal](generated/xarray.DataArray.str.isdecimal.html.md): Check whether all characters in each string are decimal. - [xarray.DataArray.str.isdigit](generated/xarray.DataArray.str.isdigit.html.md): Check whether all characters in each string are digits. - [xarray.DataArray.str.islower](generated/xarray.DataArray.str.islower.html.md): Check whether all characters in each string are lowercase. - [xarray.DataArray.str.isnumeric](generated/xarray.DataArray.str.isnumeric.html.md): Check whether all characters in each string are numeric. - [xarray.DataArray.str.isspace](generated/xarray.DataArray.str.isspace.html.md): Check whether all characters in each string are spaces. - [xarray.DataArray.str.istitle](generated/xarray.DataArray.str.istitle.html.md): Check whether all characters in each string are titlecase. - [xarray.DataArray.str.isupper](generated/xarray.DataArray.str.isupper.html.md): Check whether all characters in each string are uppercase. - [xarray.DataArray.str.join](generated/xarray.DataArray.str.join.html.md): Concatenate strings in a DataArray along a particular dimension. - [xarray.DataArray.str.len](generated/xarray.DataArray.str.len.html.md): Compute the length of each string in the array. - [xarray.DataArray.str.ljust](generated/xarray.DataArray.str.ljust.html.md): Pad right side of each string in the array. - [xarray.DataArray.str.lower](generated/xarray.DataArray.str.lower.html.md): Convert strings in the array to lowercase. - [xarray.DataArray.str.lstrip](generated/xarray.DataArray.str.lstrip.html.md): Remove leading characters. - [xarray.DataArray.str.match](generated/xarray.DataArray.str.match.html.md): Determine if each string in the array matches a regular expression. - [xarray.DataArray.str.normalize](generated/xarray.DataArray.str.normalize.html.md): Return the Unicode normal form for the strings in the datarray. - [xarray.DataArray.str.pad](generated/xarray.DataArray.str.pad.html.md): Pad strings in the array up to width. - [xarray.DataArray.str.partition](generated/xarray.DataArray.str.partition.html.md): Split the strings in the DataArray at the first occurrence of separator sep. - [xarray.DataArray.str.repeat](generated/xarray.DataArray.str.repeat.html.md): Repeat each string in the array. - [xarray.DataArray.str.replace](generated/xarray.DataArray.str.replace.html.md): Replace occurrences of pattern/regex in the array with some string. - [xarray.DataArray.str.rfind](generated/xarray.DataArray.str.rfind.html.md): Return highest indexes in each strings in the array - [xarray.DataArray.str.rindex](generated/xarray.DataArray.str.rindex.html.md): Return highest indexes in each strings where the substring is - [xarray.DataArray.str.rjust](generated/xarray.DataArray.str.rjust.html.md): Pad left side of each string in the array. - [xarray.DataArray.str.rpartition](generated/xarray.DataArray.str.rpartition.html.md): Split the strings in the DataArray at the last occurrence of separator sep. - [xarray.DataArray.str.rsplit](generated/xarray.DataArray.str.rsplit.html.md): Split strings in a DataArray around the given separator/delimiter sep. - [xarray.DataArray.str.rstrip](generated/xarray.DataArray.str.rstrip.html.md): Remove trailing characters. - [xarray.DataArray.str.slice](generated/xarray.DataArray.str.slice.html.md): Slice substrings from each string in the array. - [xarray.DataArray.str.slice_replace](generated/xarray.DataArray.str.slice_replace.html.md): Replace a positional slice of a string with another value. - [xarray.DataArray.str.split](generated/xarray.DataArray.str.split.html.md): Split strings in a DataArray around the given separator/delimiter sep. - [xarray.DataArray.str.startswith](generated/xarray.DataArray.str.startswith.html.md): Test if the start of each string in the array matches a pattern. - [xarray.DataArray.str.strip](generated/xarray.DataArray.str.strip.html.md): Remove leading and trailing characters. - [xarray.DataArray.str.swapcase](generated/xarray.DataArray.str.swapcase.html.md): Convert strings in the array to be swapcased. - [xarray.DataArray.str.title](generated/xarray.DataArray.str.title.html.md): Convert strings in the array to titlecase. - [xarray.DataArray.str.translate](generated/xarray.DataArray.str.translate.html.md): Map characters of each string through the given mapping table. - [xarray.DataArray.str.upper](generated/xarray.DataArray.str.upper.html.md): Convert strings in the array to uppercase. - [xarray.DataArray.str.wrap](generated/xarray.DataArray.str.wrap.html.md): Wrap long strings in the array in paragraphs with length less than width. - [xarray.DataArray.str.zfill](generated/xarray.DataArray.str.zfill.html.md): Pad each string in the array by prepending ‘0’ characters. - [xarray.DataArray.sum](generated/xarray.DataArray.sum.html.md): Reduce this DataArray’s data by applying `sum` along some dimension(s). - [xarray.DataArray.swap_dims](generated/xarray.DataArray.swap_dims.html.md): Returns a new DataArray with swapped dimensions. - [xarray.DataArray.tail](generated/xarray.DataArray.tail.html.md): Return a new DataArray whose data is given by the last n - [xarray.DataArray.thin](generated/xarray.DataArray.thin.html.md): Return a new DataArray whose data is given by each n value - [xarray.DataArray.to_dask_dataframe](generated/xarray.DataArray.to_dask_dataframe.html.md): Convert this array into a dask.dataframe.DataFrame. - [xarray.DataArray.to_dataframe](generated/xarray.DataArray.to_dataframe.html.md): Convert this array and its coordinates into a tidy pandas.DataFrame. - [xarray.DataArray.to_dataset](generated/xarray.DataArray.to_dataset.html.md): Convert a DataArray to a Dataset. - [xarray.DataArray.to_dict](generated/xarray.DataArray.to_dict.html.md): Convert this xarray.DataArray into a dictionary following xarray - [xarray.DataArray.to_index](generated/xarray.DataArray.to_index.html.md): Convert this variable to a pandas.Index. Only possible for 1D - [xarray.DataArray.to_iris](generated/xarray.DataArray.to_iris.html.md): Convert this array into an iris.cube.Cube - [xarray.DataArray.to_masked_array](generated/xarray.DataArray.to_masked_array.html.md): Convert this array into a numpy.ma.MaskedArray - [xarray.DataArray.to_netcdf](generated/xarray.DataArray.to_netcdf.html.md): Write DataArray contents to a netCDF file. - [xarray.DataArray.to_numpy](generated/xarray.DataArray.to_numpy.html.md): Coerces wrapped data to numpy and returns a numpy.ndarray. - [xarray.DataArray.to_pandas](generated/xarray.DataArray.to_pandas.html.md): Convert this array into a pandas object with the same shape. - [xarray.DataArray.to_series](generated/xarray.DataArray.to_series.html.md): Convert this array into a pandas.Series. - [xarray.DataArray.to_unstacked_dataset](generated/xarray.DataArray.to_unstacked_dataset.html.md): Unstack DataArray expanding to Dataset along a given level of a - [xarray.DataArray.to_zarr](generated/xarray.DataArray.to_zarr.html.md): Write DataArray contents to a Zarr store - [xarray.DataArray.transpose](generated/xarray.DataArray.transpose.html.md): Return a new DataArray object with transposed dimensions. - [xarray.DataArray.unify_chunks](generated/xarray.DataArray.unify_chunks.html.md): Unify chunk size along all chunked dimensions of this DataArray. - [xarray.DataArray.unstack](generated/xarray.DataArray.unstack.html.md): Unstack existing dimensions corresponding to MultiIndexes into - [xarray.DataArray.values](generated/xarray.DataArray.values.html.md): The array’s data converted to numpy.ndarray. - [xarray.DataArray.var](generated/xarray.DataArray.var.html.md): Reduce this DataArray’s data by applying `var` along some dimension(s). - [xarray.DataArray.variable](generated/xarray.DataArray.variable.html.md): Low level interface to the Variable object for this DataArray. - [xarray.DataArray.weighted](generated/xarray.DataArray.weighted.html.md): Weighted DataArray operations. - [xarray.DataArray.where](generated/xarray.DataArray.where.html.md): Filter elements from this object according to a condition. - [xarray.DataArray.xindexes](generated/xarray.DataArray.xindexes.html.md): Mapping of `Index` objects - [xarray.DataTree._\_delitem_\_](generated/xarray.DataTree.__delitem__.html.md): Remove a variable or child node from this datatree node. - [xarray.DataTree._\_getitem_\_](generated/xarray.DataTree.__getitem__.html.md): Access child nodes, variables, or coordinates stored anywhere in this tree. - [xarray.DataTree._\_setitem_\_](generated/xarray.DataTree.__setitem__.html.md): Add either a child node or an array to the tree, at any position. - [xarray.DataTree.all](generated/xarray.DataTree.all.html.md): Reduce this DataTree’s data by applying `all` along some dimension(s). - [xarray.DataTree.ancestors](generated/xarray.DataTree.ancestors.html.md): All parent nodes and their parent nodes, starting with the most distant. - [xarray.DataTree.any](generated/xarray.DataTree.any.html.md): Reduce this DataTree’s data by applying `any` along some dimension(s). - [xarray.DataTree.argsort](generated/xarray.DataTree.argsort.html.md): Returns the indices that would sort this array. - [xarray.DataTree.assign](generated/xarray.DataTree.assign.html.md): Assign new data variables or child nodes to a DataTree, returning a new object - [xarray.DataTree.attrs](generated/xarray.DataTree.attrs.html.md): Dictionary of global attributes on this node object. - [xarray.DataTree.children](generated/xarray.DataTree.children.html.md): Child nodes of this node, stored under a mapping via their names. - [xarray.DataTree.chunk](generated/xarray.DataTree.chunk.html.md): Coerce all arrays in all groups in this tree into dask arrays with the given - [xarray.DataTree.chunksizes](generated/xarray.DataTree.chunksizes.html.md): Mapping from group paths to a mapping of chunksizes. - [xarray.DataTree.compute](generated/xarray.DataTree.compute.html.md): Manually trigger loading and/or computation of this datatree’s data - [xarray.DataTree.conj](generated/xarray.DataTree.conj.html.md): Complex-conjugate all elements. - [xarray.DataTree.conjugate](generated/xarray.DataTree.conjugate.html.md): Complex-conjugate all elements. - [xarray.DataTree.coords](generated/xarray.DataTree.coords.html.md): Dictionary of xarray.DataArray objects corresponding to coordinate - [xarray.DataTree.copy](generated/xarray.DataTree.copy.html.md): Returns a copy of this subtree. - [xarray.DataTree.cumprod](generated/xarray.DataTree.cumprod.html.md): Reduce this DataTree’s data by applying `cumprod` along some dimension(s). - [xarray.DataTree.cumsum](generated/xarray.DataTree.cumsum.html.md): Reduce this DataTree’s data by applying `cumsum` along some dimension(s). - [xarray.DataTree.data_vars](generated/xarray.DataTree.data_vars.html.md): Dictionary of DataArray objects corresponding to data variables - [xarray.DataTree.dataset](generated/xarray.DataTree.dataset.html.md): An immutable Dataset-like view onto the data in this node. - [xarray.DataTree.depth](generated/xarray.DataTree.depth.html.md): Maximum level of this tree. - [xarray.DataTree.descendants](generated/xarray.DataTree.descendants.html.md): Child nodes and all their child nodes. - [xarray.DataTree.dims](generated/xarray.DataTree.dims.html.md): Mapping from dimension names to lengths. - [xarray.DataTree.drop_nodes](generated/xarray.DataTree.drop_nodes.html.md): Drop child nodes from this node. - [xarray.DataTree.ds](generated/xarray.DataTree.ds.html.md): An immutable Dataset-like view onto the data in this node. - [xarray.DataTree.encoding](generated/xarray.DataTree.encoding.html.md): Dictionary of global encoding attributes on this node object. - [xarray.DataTree.equals](generated/xarray.DataTree.equals.html.md): Two DataTrees are equal if they have isomorphic node structures, with - [xarray.DataTree.filter](generated/xarray.DataTree.filter.html.md): Filter nodes according to a specified condition. - [xarray.DataTree.filter_like](generated/xarray.DataTree.filter_like.html.md): Filter a datatree like another datatree. - [xarray.DataTree.find_common_ancestor](generated/xarray.DataTree.find_common_ancestor.html.md): Find the first common ancestor of two nodes in the same tree. - [xarray.DataTree.from_dict](generated/xarray.DataTree.from_dict.html.md): Create a datatree from a dictionary of data objects, organised by paths into the tree. - [xarray.DataTree.get](generated/xarray.DataTree.get.html.md): Access child nodes, variables, or coordinates stored in this node. - [xarray.DataTree.groups](generated/xarray.DataTree.groups.html.md): Return all groups in the tree, given as a tuple of path-like strings. - [xarray.DataTree.has_attrs](generated/xarray.DataTree.has_attrs.html.md): Whether or not there are any metadata attributes in this node. - [xarray.DataTree.has_data](generated/xarray.DataTree.has_data.html.md): Whether or not there are any variables in this node. - [xarray.DataTree](generated/xarray.DataTree.html.md): A tree-like hierarchical collection of xarray objects. - [xarray.DataTree.identical](generated/xarray.DataTree.identical.html.md): Like equals, but also checks attributes on all datasets, variables and - [xarray.DataTree.indexes](generated/xarray.DataTree.indexes.html.md): Mapping of pandas.Index objects used for label based indexing. - [xarray.DataTree.is_empty](generated/xarray.DataTree.is_empty.html.md): False if node contains any data or attrs. Does not look at children. - [xarray.DataTree.is_hollow](generated/xarray.DataTree.is_hollow.html.md): True if only leaf nodes contain data. - [xarray.DataTree.is_leaf](generated/xarray.DataTree.is_leaf.html.md): Whether this node is a leaf node. - [xarray.DataTree.is_root](generated/xarray.DataTree.is_root.html.md): Whether this node is the tree root. - [xarray.DataTree.isel](generated/xarray.DataTree.isel.html.md): Returns a new data tree with each array indexed along the specified - [xarray.DataTree.isomorphic](generated/xarray.DataTree.isomorphic.html.md): Two DataTrees are considered isomorphic if the set of paths to their - [xarray.DataTree.items](generated/xarray.DataTree.items.html.md): Page content - [xarray.DataTree.iter_lineage](generated/xarray.DataTree.iter_lineage.html.md): Iterate up the tree, starting from the current node. - [xarray.DataTree.keys](generated/xarray.DataTree.keys.html.md): Page content - [xarray.DataTree.leaves](generated/xarray.DataTree.leaves.html.md): All leaf nodes. - [xarray.DataTree.level](generated/xarray.DataTree.level.html.md): Level of this node. - [xarray.DataTree.lineage](generated/xarray.DataTree.lineage.html.md): All parent nodes and their parent nodes, starting with the closest. - [xarray.DataTree.load](generated/xarray.DataTree.load.html.md): Manually trigger loading and/or computation of this datatree’s data - [xarray.DataTree.map_over_datasets](generated/xarray.DataTree.map_over_datasets.html.md): Apply a function to every dataset in this subtree, returning a new tree which stores the results. - [xarray.DataTree.match](generated/xarray.DataTree.match.html.md): Return nodes with paths matching pattern. - [xarray.DataTree.max](generated/xarray.DataTree.max.html.md): Reduce this DataTree’s data by applying `max` along some dimension(s). - [xarray.DataTree.mean](generated/xarray.DataTree.mean.html.md): Reduce this DataTree’s data by applying `mean` along some dimension(s). - [xarray.DataTree.median](generated/xarray.DataTree.median.html.md): Reduce this DataTree’s data by applying `median` along some dimension(s). - [xarray.DataTree.min](generated/xarray.DataTree.min.html.md): Reduce this DataTree’s data by applying `min` along some dimension(s). - [xarray.DataTree.name](generated/xarray.DataTree.name.html.md): The name of this node. - [xarray.DataTree.nbytes](generated/xarray.DataTree.nbytes.html.md): Page content - [xarray.DataTree.orphan](generated/xarray.DataTree.orphan.html.md): Detach this node from its parent. - [xarray.DataTree.parent](generated/xarray.DataTree.parent.html.md): Parent of this node. - [xarray.DataTree.parents](generated/xarray.DataTree.parents.html.md): All parent nodes and their parent nodes, starting with the closest. - [xarray.DataTree.path](generated/xarray.DataTree.path.html.md): Return the file-like path from the root to this node. - [xarray.DataTree.persist](generated/xarray.DataTree.persist.html.md): Trigger computation, keeping data as chunked arrays. - [xarray.DataTree.pipe](generated/xarray.DataTree.pipe.html.md): Apply `func(self, *args, **kwargs)` - [xarray.DataTree.prod](generated/xarray.DataTree.prod.html.md): Reduce this DataTree’s data by applying `prod` along some dimension(s). - [xarray.DataTree.relative_to](generated/xarray.DataTree.relative_to.html.md): Compute the relative path from this node to node other. - [xarray.DataTree.root](generated/xarray.DataTree.root.html.md): Root node of the tree - [xarray.DataTree.round](generated/xarray.DataTree.round.html.md): Page content - [xarray.DataTree.same_tree](generated/xarray.DataTree.same_tree.html.md): True if other node is in the same tree as this node. - [xarray.DataTree.sel](generated/xarray.DataTree.sel.html.md): Returns a new data tree with each array indexed by tick labels - [xarray.DataTree.siblings](generated/xarray.DataTree.siblings.html.md): Nodes with the same parent as this node. - [xarray.DataTree.sizes](generated/xarray.DataTree.sizes.html.md): Mapping from dimension names to lengths. - [xarray.DataTree.std](generated/xarray.DataTree.std.html.md): Reduce this DataTree’s data by applying `std` along some dimension(s). - [xarray.DataTree.subtree](generated/xarray.DataTree.subtree.html.md): Iterate over all nodes in this tree, including both self and all descendants. - [xarray.DataTree.subtree_with_keys](generated/xarray.DataTree.subtree_with_keys.html.md): Iterate over relative paths and node pairs for all nodes in this tree. - [xarray.DataTree.sum](generated/xarray.DataTree.sum.html.md): Reduce this DataTree’s data by applying `sum` along some dimension(s). - [xarray.DataTree.to_dataset](generated/xarray.DataTree.to_dataset.html.md): Return the data in this node as a new xarray.Dataset object. - [xarray.DataTree.to_dict](generated/xarray.DataTree.to_dict.html.md): Create a dictionary mapping of paths to the data contained in those nodes. - [xarray.DataTree.to_netcdf](generated/xarray.DataTree.to_netcdf.html.md): Write datatree contents to a netCDF file. - [xarray.DataTree.to_zarr](generated/xarray.DataTree.to_zarr.html.md): Write datatree contents to a Zarr store. - [xarray.DataTree.update](generated/xarray.DataTree.update.html.md): Update this node’s children and / or variables. - [xarray.DataTree.values](generated/xarray.DataTree.values.html.md): Page content - [xarray.DataTree.var](generated/xarray.DataTree.var.html.md): Reduce this DataTree’s data by applying `var` along some dimension(s). - [xarray.DataTree.variables](generated/xarray.DataTree.variables.html.md): Low level interface to node contents as dict of Variable objects. - [xarray.DataTree.width](generated/xarray.DataTree.width.html.md): Number of nodes at this level in the tree. - [xarray.DataTree.xindexes](generated/xarray.DataTree.xindexes.html.md): Mapping of xarray Index objects used for label based indexing. - [xarray.Dataset._\_delitem_\_](generated/xarray.Dataset.__delitem__.html.md): Remove a variable from this dataset. - [xarray.Dataset._\_getitem_\_](generated/xarray.Dataset.__getitem__.html.md): Access variables or coordinates of this dataset as a - [xarray.Dataset._\_setitem_\_](generated/xarray.Dataset.__setitem__.html.md): Add an array to this dataset. - [xarray.Dataset.all](generated/xarray.Dataset.all.html.md): Reduce this Dataset’s data by applying `all` along some dimension(s). - [xarray.Dataset.any](generated/xarray.Dataset.any.html.md): Reduce this Dataset’s data by applying `any` along some dimension(s). - [xarray.Dataset.apply](generated/xarray.Dataset.apply.html.md): Backward compatible implementation of `map` - [xarray.Dataset.argmax](generated/xarray.Dataset.argmax.html.md): Indices of the maxima of the member variables. - [xarray.Dataset.argmin](generated/xarray.Dataset.argmin.html.md): Indices of the minima of the member variables. - [xarray.Dataset.argsort](generated/xarray.Dataset.argsort.html.md): Returns the indices that would sort this array. - [xarray.Dataset.as_numpy](generated/xarray.Dataset.as_numpy.html.md): Coerces wrapped data and coordinates into numpy arrays, returning a Dataset. - [xarray.Dataset.assign](generated/xarray.Dataset.assign.html.md): Assign new data variables to a Dataset, returning a new object - [xarray.Dataset.assign_attrs](generated/xarray.Dataset.assign_attrs.html.md): Assign new attrs to this object. - [xarray.Dataset.assign_coords](generated/xarray.Dataset.assign_coords.html.md): Assign new coordinates to this object. - [xarray.Dataset.astype](generated/xarray.Dataset.astype.html.md): Copy of the xarray object, with data cast to a specified type. - [xarray.Dataset.attrs](generated/xarray.Dataset.attrs.html.md): Dictionary of global attributes on this dataset - [xarray.Dataset.bfill](generated/xarray.Dataset.bfill.html.md): Fill NaN values by propagating values backward - [xarray.Dataset.broadcast_equals](generated/xarray.Dataset.broadcast_equals.html.md): Two Datasets are broadcast equal if they are equal after - [xarray.Dataset.broadcast_like](generated/xarray.Dataset.broadcast_like.html.md): Broadcast this DataArray against another Dataset or DataArray. - [xarray.Dataset.chunk](generated/xarray.Dataset.chunk.html.md): Coerce all arrays in this dataset into dask arrays with the given - [xarray.Dataset.chunks](generated/xarray.Dataset.chunks.html.md): Mapping from dimension names to block lengths for this dataset’s data. - [xarray.Dataset.chunksizes](generated/xarray.Dataset.chunksizes.html.md): Mapping from dimension names to block lengths for this dataset’s data. - [xarray.Dataset.clip](generated/xarray.Dataset.clip.html.md): Return an array whose values are limited to `[min, max]`. - [xarray.Dataset.close](generated/xarray.Dataset.close.html.md): Release any resources linked to this object. - [xarray.Dataset.coarsen](generated/xarray.Dataset.coarsen.html.md): Coarsen object for Datasets. - [xarray.Dataset.combine_first](generated/xarray.Dataset.combine_first.html.md): Combine two Datasets, default to data_vars of self. - [xarray.Dataset.compute](generated/xarray.Dataset.compute.html.md): Trigger loading data into memory and return a new dataset. - [xarray.Dataset.conj](generated/xarray.Dataset.conj.html.md): Complex-conjugate all elements. - [xarray.Dataset.conjugate](generated/xarray.Dataset.conjugate.html.md): Complex-conjugate all elements. - [xarray.Dataset.convert_calendar](generated/xarray.Dataset.convert_calendar.html.md): Convert the Dataset to another calendar. - [xarray.Dataset.coords](generated/xarray.Dataset.coords.html.md): Mapping of [`DataArray`](xarray.DataArray.md#xarray.DataArray) objects corresponding to - [xarray.Dataset.copy](generated/xarray.Dataset.copy.html.md): Returns a copy of this dataset. - [xarray.Dataset.count](generated/xarray.Dataset.count.html.md): Reduce this Dataset’s data by applying `count` along some dimension(s). - [xarray.Dataset.cumprod](generated/xarray.Dataset.cumprod.html.md): Reduce this Dataset’s data by applying `cumprod` along some dimension(s). - [xarray.Dataset.cumsum](generated/xarray.Dataset.cumsum.html.md): Reduce this Dataset’s data by applying `cumsum` along some dimension(s). - [xarray.Dataset.cumulative](generated/xarray.Dataset.cumulative.html.md): Accumulating object for Datasets - [xarray.Dataset.curvefit](generated/xarray.Dataset.curvefit.html.md): Curve fitting optimization for arbitrary functions. - [xarray.Dataset.data_vars](generated/xarray.Dataset.data_vars.html.md): Dictionary of DataArray objects corresponding to data variables - [xarray.Dataset.diff](generated/xarray.Dataset.diff.html.md): Calculate the n-th order discrete difference along given axis. - [xarray.Dataset.differentiate](generated/xarray.Dataset.differentiate.html.md): Differentiate with the second order accurate central - [xarray.Dataset.dims](generated/xarray.Dataset.dims.html.md): Mapping from dimension names to lengths. - [xarray.Dataset.drop](generated/xarray.Dataset.drop.html.md): Backward compatible method based on drop_vars and drop_sel - [xarray.Dataset.drop_attrs](generated/xarray.Dataset.drop_attrs.html.md): Removes all attributes from the Dataset and its variables. - [xarray.Dataset.drop_dims](generated/xarray.Dataset.drop_dims.html.md): Drop dimensions and associated variables from this dataset. - [xarray.Dataset.drop_duplicates](generated/xarray.Dataset.drop_duplicates.html.md): Returns a new Dataset with duplicate dimension values removed. - [xarray.Dataset.drop_encoding](generated/xarray.Dataset.drop_encoding.html.md): Return a new Dataset without encoding on the dataset or any of its - [xarray.Dataset.drop_indexes](generated/xarray.Dataset.drop_indexes.html.md): Drop the indexes assigned to the given coordinates. - [xarray.Dataset.drop_isel](generated/xarray.Dataset.drop_isel.html.md): Drop index positions from this Dataset. - [xarray.Dataset.drop_sel](generated/xarray.Dataset.drop_sel.html.md): Drop index labels from this dataset. - [xarray.Dataset.drop_vars](generated/xarray.Dataset.drop_vars.html.md): Drop variables from this dataset. - [xarray.Dataset.dropna](generated/xarray.Dataset.dropna.html.md): Returns a new dataset with dropped labels for missing values along - [xarray.Dataset.dtypes](generated/xarray.Dataset.dtypes.html.md): Mapping from data variable names to dtypes. - [xarray.Dataset.dump_to_store](generated/xarray.Dataset.dump_to_store.html.md): Store dataset contents to a backends.\*DataStore object. - [xarray.Dataset.encoding](generated/xarray.Dataset.encoding.html.md): Dictionary of global encoding attributes on this dataset - [xarray.Dataset.equals](generated/xarray.Dataset.equals.html.md): Two Datasets are equal if they have matching variables and - [xarray.Dataset.eval](generated/xarray.Dataset.eval.html.md): Calculate an expression supplied as a string in the context of the dataset. - [xarray.Dataset.expand_dims](generated/xarray.Dataset.expand_dims.html.md): Return a new object with an additional axis (or axes) inserted at - [xarray.Dataset.ffill](generated/xarray.Dataset.ffill.html.md): Fill NaN values by propagating values forward - [xarray.Dataset.fillna](generated/xarray.Dataset.fillna.html.md): Fill missing values in this object. - [xarray.Dataset.filter_by_attrs](generated/xarray.Dataset.filter_by_attrs.html.md): Returns a `Dataset` with variables that match specific conditions. - [xarray.Dataset.from_dataframe](generated/xarray.Dataset.from_dataframe.html.md): Convert a pandas.DataFrame into an xarray.Dataset - [xarray.Dataset.from_dict](generated/xarray.Dataset.from_dict.html.md): Convert a dictionary into an xarray.Dataset. - [xarray.Dataset.get](generated/xarray.Dataset.get.html.md): Page content - [xarray.Dataset.get_index](generated/xarray.Dataset.get_index.html.md): Get an index for a dimension, with fall-back to a default RangeIndex - [xarray.Dataset.groupby](generated/xarray.Dataset.groupby.html.md): Returns a DatasetGroupBy object for performing grouped operations. - [xarray.Dataset.groupby_bins](generated/xarray.Dataset.groupby_bins.html.md): Returns a DatasetGroupBy object for performing grouped operations. - [xarray.Dataset.head](generated/xarray.Dataset.head.html.md): Returns a new dataset with the first n values of each array - [xarray.Dataset](generated/xarray.Dataset.html.md): A multi-dimensional, in memory, array database. - [xarray.Dataset.identical](generated/xarray.Dataset.identical.html.md): Like equals, but also checks all dataset attributes, the - [xarray.Dataset.idxmax](generated/xarray.Dataset.idxmax.html.md): Return the coordinate label of the maximum value along a dimension. - [xarray.Dataset.idxmin](generated/xarray.Dataset.idxmin.html.md): Return the coordinate label of the minimum value along a dimension. - [xarray.Dataset.imag](generated/xarray.Dataset.imag.html.md): The imaginary part of each data variable. - [xarray.Dataset.indexes](generated/xarray.Dataset.indexes.html.md): Mapping of pandas.Index objects used for label based indexing. - [xarray.Dataset.info](generated/xarray.Dataset.info.html.md): Concise summary of a Dataset variables and attributes. - [xarray.Dataset.integrate](generated/xarray.Dataset.integrate.html.md): Integrate along the given coordinate using the trapezoidal rule. - [xarray.Dataset.interp](generated/xarray.Dataset.interp.html.md): Interpolate a Dataset onto new coordinates. - [xarray.Dataset.interp_calendar](generated/xarray.Dataset.interp_calendar.html.md): Interpolates the Dataset to another calendar based on decimal year measure. - [xarray.Dataset.interp_like](generated/xarray.Dataset.interp_like.html.md): Interpolate this object onto the coordinates of another object. - [xarray.Dataset.interpolate_na](generated/xarray.Dataset.interpolate_na.html.md): Fill in NaNs by interpolating according to different methods. - [xarray.Dataset.isel](generated/xarray.Dataset.isel.html.md): Returns a new dataset with each array indexed along the specified - [xarray.Dataset.isin](generated/xarray.Dataset.isin.html.md): Tests each value in the array for whether it is in test elements. - [xarray.Dataset.isnull](generated/xarray.Dataset.isnull.html.md): Test each value in the array for whether it is a missing value. - [xarray.Dataset.items](generated/xarray.Dataset.items.html.md): Page content - [xarray.Dataset.keys](generated/xarray.Dataset.keys.html.md): Page content - [xarray.Dataset.load](generated/xarray.Dataset.load.html.md): Trigger loading data into memory and return this dataset. - [xarray.Dataset.load_async](generated/xarray.Dataset.load_async.html.md): Trigger and await asynchronous loading of data into memory and return this dataset. - [xarray.Dataset.load_store](generated/xarray.Dataset.load_store.html.md): Create a new dataset from the contents of a backends.\*DataStore - [xarray.Dataset.loc](generated/xarray.Dataset.loc.html.md): Attribute for location based indexing. Only supports \_\_getitem_\_, - [xarray.Dataset.map](generated/xarray.Dataset.map.html.md): Apply a function to each data variable in this dataset - [xarray.Dataset.map_blocks](generated/xarray.Dataset.map_blocks.html.md): Apply a function to each block of this Dataset. - [xarray.Dataset.max](generated/xarray.Dataset.max.html.md): Reduce this Dataset’s data by applying `max` along some dimension(s). - [xarray.Dataset.mean](generated/xarray.Dataset.mean.html.md): Reduce this Dataset’s data by applying `mean` along some dimension(s). - [xarray.Dataset.median](generated/xarray.Dataset.median.html.md): Reduce this Dataset’s data by applying `median` along some dimension(s). - [xarray.Dataset.merge](generated/xarray.Dataset.merge.html.md): Merge the arrays of two datasets into a single dataset. - [xarray.Dataset.min](generated/xarray.Dataset.min.html.md): Reduce this Dataset’s data by applying `min` along some dimension(s). - [xarray.Dataset.nbytes](generated/xarray.Dataset.nbytes.html.md): Total bytes consumed by the data arrays of all variables in this dataset. - [xarray.Dataset.notnull](generated/xarray.Dataset.notnull.html.md): Test each value in the array for whether it is not a missing value. - [xarray.Dataset.pad](generated/xarray.Dataset.pad.html.md): Pad this dataset along one or more dimensions. - [xarray.Dataset.persist](generated/xarray.Dataset.persist.html.md): Trigger computation, keeping data as chunked arrays. - [xarray.Dataset.pipe](generated/xarray.Dataset.pipe.html.md): Apply `func(self, *args, **kwargs)` - [xarray.Dataset.plot.quiver](generated/xarray.Dataset.plot.quiver.html.md): Quiver plot of Dataset variables. - [xarray.Dataset.plot.scatter](generated/xarray.Dataset.plot.scatter.html.md): Scatter variables against each other. - [xarray.Dataset.plot.streamplot](generated/xarray.Dataset.plot.streamplot.html.md): Plot streamlines of Dataset variables. - [xarray.Dataset.polyfit](generated/xarray.Dataset.polyfit.html.md): Least squares polynomial fit. - [xarray.Dataset.prod](generated/xarray.Dataset.prod.html.md): Reduce this Dataset’s data by applying `prod` along some dimension(s). - [xarray.Dataset.quantile](generated/xarray.Dataset.quantile.html.md): Compute the qth quantile of the data along the specified dimension. - [xarray.Dataset.query](generated/xarray.Dataset.query.html.md): Return a new dataset with each array indexed along the specified - [xarray.Dataset.rank](generated/xarray.Dataset.rank.html.md): Ranks the data. - [xarray.Dataset.real](generated/xarray.Dataset.real.html.md): The real part of each data variable. - [xarray.Dataset.reduce](generated/xarray.Dataset.reduce.html.md): Reduce this dataset by applying func along some dimension(s). - [xarray.Dataset.reindex](generated/xarray.Dataset.reindex.html.md): Conform this object onto a new set of indexes, filling in - [xarray.Dataset.reindex_like](generated/xarray.Dataset.reindex_like.html.md): Conform this object onto the indexes of another object, for indexes which the - [xarray.Dataset.rename](generated/xarray.Dataset.rename.html.md): Returns a new object with renamed variables, coordinates and dimensions. - [xarray.Dataset.rename_dims](generated/xarray.Dataset.rename_dims.html.md): Returns a new object with renamed dimensions only. - [xarray.Dataset.rename_vars](generated/xarray.Dataset.rename_vars.html.md): Returns a new object with renamed variables including coordinates - [xarray.Dataset.reorder_levels](generated/xarray.Dataset.reorder_levels.html.md): Rearrange index levels using input order. - [xarray.Dataset.resample](generated/xarray.Dataset.resample.html.md): Returns a Resample object for performing resampling operations. - [xarray.Dataset.reset_coords](generated/xarray.Dataset.reset_coords.html.md): Given names of coordinates, reset them to become variables - [xarray.Dataset.reset_index](generated/xarray.Dataset.reset_index.html.md): Reset the specified index(es) or multi-index level(s). - [xarray.Dataset.roll](generated/xarray.Dataset.roll.html.md): Roll this dataset by an offset along one or more dimensions. - [xarray.Dataset.rolling](generated/xarray.Dataset.rolling.html.md): Rolling window object for Datasets. - [xarray.Dataset.rolling_exp](generated/xarray.Dataset.rolling_exp.html.md): Exponentially-weighted moving window. - [xarray.Dataset.round](generated/xarray.Dataset.round.html.md): Page content - [xarray.Dataset.sel](generated/xarray.Dataset.sel.html.md): Returns a new dataset with each array indexed by tick labels - [xarray.Dataset.set_close](generated/xarray.Dataset.set_close.html.md): Register the function that releases any resources linked to this object. - [xarray.Dataset.set_coords](generated/xarray.Dataset.set_coords.html.md): Given names of one or more variables, set them as coordinates - [xarray.Dataset.set_index](generated/xarray.Dataset.set_index.html.md): Set Dataset (multi-)indexes using one or more existing coordinates - [xarray.Dataset.set_xindex](generated/xarray.Dataset.set_xindex.html.md): Set a new, Xarray-compatible index from one or more existing - [xarray.Dataset.shift](generated/xarray.Dataset.shift.html.md): Shift this dataset by an offset along one or more dimensions. - [xarray.Dataset.sizes](generated/xarray.Dataset.sizes.html.md): Mapping from dimension names to lengths. - [xarray.Dataset.sortby](generated/xarray.Dataset.sortby.html.md): Sort object by labels or values (along an axis). - [xarray.Dataset.squeeze](generated/xarray.Dataset.squeeze.html.md): Return a new object with squeezed data. - [xarray.Dataset.stack](generated/xarray.Dataset.stack.html.md): Stack any number of existing dimensions into a single new dimension. - [xarray.Dataset.std](generated/xarray.Dataset.std.html.md): Reduce this Dataset’s data by applying `std` along some dimension(s). - [xarray.Dataset.sum](generated/xarray.Dataset.sum.html.md): Reduce this Dataset’s data by applying `sum` along some dimension(s). - [xarray.Dataset.swap_dims](generated/xarray.Dataset.swap_dims.html.md): Returns a new object with swapped dimensions. - [xarray.Dataset.tail](generated/xarray.Dataset.tail.html.md): Returns a new dataset with the last n values of each array - [xarray.Dataset.thin](generated/xarray.Dataset.thin.html.md): Returns a new dataset with each array indexed along every n-th - [xarray.Dataset.to_dask_dataframe](generated/xarray.Dataset.to_dask_dataframe.html.md): Convert this dataset into a dask.dataframe.DataFrame. - [xarray.Dataset.to_dataarray](generated/xarray.Dataset.to_dataarray.html.md): Convert this dataset into an xarray.DataArray - [xarray.Dataset.to_dataframe](generated/xarray.Dataset.to_dataframe.html.md): Convert this dataset into a pandas.DataFrame. - [xarray.Dataset.to_dict](generated/xarray.Dataset.to_dict.html.md): Convert this dataset to a dictionary following xarray naming - [xarray.Dataset.to_netcdf](generated/xarray.Dataset.to_netcdf.html.md): Write dataset contents to a netCDF file. - [xarray.Dataset.to_pandas](generated/xarray.Dataset.to_pandas.html.md): Convert this dataset into a pandas object without changing the number of dimensions. - [xarray.Dataset.to_stacked_array](generated/xarray.Dataset.to_stacked_array.html.md): Combine variables of differing dimensionality into a DataArray - [xarray.Dataset.to_zarr](generated/xarray.Dataset.to_zarr.html.md): Write dataset contents to a zarr group. - [xarray.Dataset.transpose](generated/xarray.Dataset.transpose.html.md): Return a new Dataset object with all array dimensions transposed. - [xarray.Dataset.unify_chunks](generated/xarray.Dataset.unify_chunks.html.md): Unify chunk size along all chunked dimensions of this Dataset. - [xarray.Dataset.unstack](generated/xarray.Dataset.unstack.html.md): Unstack existing dimensions corresponding to MultiIndexes into - [xarray.Dataset.update](generated/xarray.Dataset.update.html.md): Update this dataset’s variables with those from another dataset. - [xarray.Dataset.values](generated/xarray.Dataset.values.html.md): Page content - [xarray.Dataset.var](generated/xarray.Dataset.var.html.md): Reduce this Dataset’s data by applying `var` along some dimension(s). - [xarray.Dataset.variables](generated/xarray.Dataset.variables.html.md): Low level interface to Dataset contents as dict of Variable objects. - [xarray.Dataset.weighted](generated/xarray.Dataset.weighted.html.md): Weighted Dataset operations. - [xarray.Dataset.where](generated/xarray.Dataset.where.html.md): Filter elements from this object according to a condition. - [xarray.Dataset.xindexes](generated/xarray.Dataset.xindexes.html.md): Mapping of `Index` objects - [xarray.Index.concat](generated/xarray.Index.concat.html.md): Create a new index by concatenating one or more indexes of the same - [xarray.Index.copy](generated/xarray.Index.copy.html.md): Return a (deep) copy of this index. - [xarray.Index.create_variables](generated/xarray.Index.create_variables.html.md): Maybe create new coordinate variables from this index. - [xarray.Index.equals](generated/xarray.Index.equals.html.md): Compare this index with another index of the same type. - [xarray.Index.from_variables](generated/xarray.Index.from_variables.html.md): Create a new index object from one or more coordinate variables. - [xarray.Index](generated/xarray.Index.html.md): Base class inherited by all xarray-compatible indexes. - [xarray.Index.isel](generated/xarray.Index.isel.html.md): Maybe returns a new index from the current index itself indexed by - [xarray.Index.join](generated/xarray.Index.join.html.md): Return a new index from the combination of this index with another - [xarray.Index.reindex_like](generated/xarray.Index.reindex_like.html.md): Query the index with another index of the same type. - [xarray.Index.rename](generated/xarray.Index.rename.html.md): Maybe update the index with new coordinate and dimension names. - [xarray.Index.roll](generated/xarray.Index.roll.html.md): Roll this index by an offset along one or more dimensions. - [xarray.Index.sel](generated/xarray.Index.sel.html.md): Query the index with arbitrary coordinate label indexers. - [xarray.Index.should_add_coord_to_array](generated/xarray.Index.should_add_coord_to_array.html.md): Define whether or not an index coordinate variable should be added to - [xarray.Index.stack](generated/xarray.Index.stack.html.md): Create a new index by stacking coordinate variables into a single new - [xarray.Index.to_pandas_index](generated/xarray.Index.to_pandas_index.html.md): Cast this xarray index to a pandas.Index object or raise a - [xarray.Index.unstack](generated/xarray.Index.unstack.html.md): Unstack a (multi-)index into multiple (single) indexes. - [xarray.IndexSelResult](generated/xarray.IndexSelResult.html.md): Index query results. - [xarray.IndexVariable.T](generated/xarray.IndexVariable.T.html.md): Return a new object with transposed dimensions. - [xarray.IndexVariable.all](generated/xarray.IndexVariable.all.html.md): Reduce this NamedArray’s data by applying `all` along some dimension(s). - [xarray.IndexVariable.any](generated/xarray.IndexVariable.any.html.md): Reduce this NamedArray’s data by applying `any` along some dimension(s). - [xarray.IndexVariable.argmax](generated/xarray.IndexVariable.argmax.html.md): Index or indices of the maximum of the Variable over one or more dimensions. - [xarray.IndexVariable.argmin](generated/xarray.IndexVariable.argmin.html.md): Index or indices of the minimum of the Variable over one or more dimensions. - [xarray.IndexVariable.argsort](generated/xarray.IndexVariable.argsort.html.md): Returns the indices that would sort this array. - [xarray.IndexVariable.astype](generated/xarray.IndexVariable.astype.html.md): Copy of the Variable object, with data cast to a specified type. - [xarray.IndexVariable.attrs](generated/xarray.IndexVariable.attrs.html.md): Dictionary of local attributes on this NamedArray. - [xarray.IndexVariable.broadcast_equals](generated/xarray.IndexVariable.broadcast_equals.html.md): True if two Variables have the values after being broadcast against - [xarray.IndexVariable.chunk](generated/xarray.IndexVariable.chunk.html.md): Coerce this array’s data into a dask array with the given chunks. - [xarray.IndexVariable.chunks](generated/xarray.IndexVariable.chunks.html.md): Tuple of block lengths for this NamedArray’s data, in order of dimensions, or None if - [xarray.IndexVariable.clip](generated/xarray.IndexVariable.clip.html.md): Return an array whose values are limited to `[min, max]`. - [xarray.IndexVariable.coarsen](generated/xarray.IndexVariable.coarsen.html.md): Apply reduction function. - [xarray.IndexVariable.compute](generated/xarray.IndexVariable.compute.html.md): Trigger loading data into memory and return a new variable. - [xarray.IndexVariable.concat](generated/xarray.IndexVariable.concat.html.md): Specialized version of Variable.concat for IndexVariable objects. - [xarray.IndexVariable.conj](generated/xarray.IndexVariable.conj.html.md): Complex-conjugate all elements. - [xarray.IndexVariable.conjugate](generated/xarray.IndexVariable.conjugate.html.md): Complex-conjugate all elements. - [xarray.IndexVariable.copy](generated/xarray.IndexVariable.copy.html.md): Returns a copy of this object. - [xarray.IndexVariable.count](generated/xarray.IndexVariable.count.html.md): Reduce this NamedArray’s data by applying `count` along some dimension(s). - [xarray.IndexVariable.cumprod](generated/xarray.IndexVariable.cumprod.html.md): Reduce this NamedArray’s data by applying `cumprod` along some dimension(s). - [xarray.IndexVariable.cumsum](generated/xarray.IndexVariable.cumsum.html.md): Reduce this NamedArray’s data by applying `cumsum` along some dimension(s). - [xarray.IndexVariable.data](generated/xarray.IndexVariable.data.html.md): The Variable’s data as an array. The underlying array type - [xarray.IndexVariable.dims](generated/xarray.IndexVariable.dims.html.md): Tuple of dimension names with which this NamedArray is associated. - [xarray.IndexVariable.dtype](generated/xarray.IndexVariable.dtype.html.md): Data-type of the array’s elements. - [xarray.IndexVariable.encoding](generated/xarray.IndexVariable.encoding.html.md): Dictionary of encodings on this variable. - [xarray.IndexVariable.equals](generated/xarray.IndexVariable.equals.html.md): True if two Variables have the same dimensions and values; - [xarray.IndexVariable.fillna](generated/xarray.IndexVariable.fillna.html.md): Page content - [xarray.IndexVariable.get_axis_num](generated/xarray.IndexVariable.get_axis_num.html.md): Return axis number(s) corresponding to dimension(s) in this array. - [xarray.IndexVariable.get_level_variable](generated/xarray.IndexVariable.get_level_variable.html.md): Return a new IndexVariable from a given MultiIndex level. - [xarray.IndexVariable](generated/xarray.IndexVariable.html.md): Wrapper for accommodating a pandas.Index in an xarray.Variable. - [xarray.IndexVariable.identical](generated/xarray.IndexVariable.identical.html.md): Like equals, but also checks attributes. - [xarray.IndexVariable.imag](generated/xarray.IndexVariable.imag.html.md): The imaginary part of the variable. - [xarray.IndexVariable.isel](generated/xarray.IndexVariable.isel.html.md): Return a new array indexed along the specified dimension(s). - [xarray.IndexVariable.isnull](generated/xarray.IndexVariable.isnull.html.md): Test each value in the array for whether it is a missing value. - [xarray.IndexVariable.item](generated/xarray.IndexVariable.item.html.md): Copy an element of an array to a standard Python scalar and return it. - [xarray.IndexVariable.level_names](generated/xarray.IndexVariable.level_names.html.md): Return MultiIndex level names or None if this IndexVariable has no - [xarray.IndexVariable.load](generated/xarray.IndexVariable.load.html.md): Trigger loading data into memory and return this variable. - [xarray.IndexVariable.max](generated/xarray.IndexVariable.max.html.md): Reduce this NamedArray’s data by applying `max` along some dimension(s). - [xarray.IndexVariable.mean](generated/xarray.IndexVariable.mean.html.md): Reduce this NamedArray’s data by applying `mean` along some dimension(s). - [xarray.IndexVariable.median](generated/xarray.IndexVariable.median.html.md): Reduce this NamedArray’s data by applying `median` along some dimension(s). - [xarray.IndexVariable.min](generated/xarray.IndexVariable.min.html.md): Reduce this NamedArray’s data by applying `min` along some dimension(s). - [xarray.IndexVariable.name](generated/xarray.IndexVariable.name.html.md): Page content - [xarray.IndexVariable.nbytes](generated/xarray.IndexVariable.nbytes.html.md): Total bytes consumed by the elements of the data array. - [xarray.IndexVariable.ndim](generated/xarray.IndexVariable.ndim.html.md): Number of array dimensions. - [xarray.IndexVariable.no_conflicts](generated/xarray.IndexVariable.no_conflicts.html.md): True if the intersection of two Variable’s non-null data is - [xarray.IndexVariable.notnull](generated/xarray.IndexVariable.notnull.html.md): Test each value in the array for whether it is not a missing value. - [xarray.IndexVariable.pad](generated/xarray.IndexVariable.pad.html.md): Return a new Variable with padded data. - [xarray.IndexVariable.prod](generated/xarray.IndexVariable.prod.html.md): Reduce this NamedArray’s data by applying `prod` along some dimension(s). - [xarray.IndexVariable.quantile](generated/xarray.IndexVariable.quantile.html.md): Compute the qth quantile of the data along the specified dimension. - [xarray.IndexVariable.rank](generated/xarray.IndexVariable.rank.html.md): Ranks the data. - [xarray.IndexVariable.real](generated/xarray.IndexVariable.real.html.md): The real part of the variable. - [xarray.IndexVariable.reduce](generated/xarray.IndexVariable.reduce.html.md): Reduce this array by applying func along some dimension(s). - [xarray.IndexVariable.roll](generated/xarray.IndexVariable.roll.html.md): Return a new Variable with rolled data. - [xarray.IndexVariable.rolling_window](generated/xarray.IndexVariable.rolling_window.html.md): Make a rolling_window along dim and add a new_dim to the last place. - [xarray.IndexVariable.round](generated/xarray.IndexVariable.round.html.md): Page content - [xarray.IndexVariable.searchsorted](generated/xarray.IndexVariable.searchsorted.html.md): Find indices where elements of v should be inserted in a to maintain order. - [xarray.IndexVariable.set_dims](generated/xarray.IndexVariable.set_dims.html.md): Return a new variable with given set of dimensions. - [xarray.IndexVariable.shape](generated/xarray.IndexVariable.shape.html.md): Get the shape of the array. - [xarray.IndexVariable.shift](generated/xarray.IndexVariable.shift.html.md): Return a new Variable with shifted data. - [xarray.IndexVariable.size](generated/xarray.IndexVariable.size.html.md): Number of elements in the array. - [xarray.IndexVariable.sizes](generated/xarray.IndexVariable.sizes.html.md): Ordered mapping from dimension names to lengths. - [xarray.IndexVariable.squeeze](generated/xarray.IndexVariable.squeeze.html.md): Return a new object with squeezed data. - [xarray.IndexVariable.stack](generated/xarray.IndexVariable.stack.html.md): Stack any number of existing dim into a single new dimension. - [xarray.IndexVariable.std](generated/xarray.IndexVariable.std.html.md): Reduce this NamedArray’s data by applying `std` along some dimension(s). - [xarray.IndexVariable.sum](generated/xarray.IndexVariable.sum.html.md): Reduce this NamedArray’s data by applying `sum` along some dimension(s). - [xarray.IndexVariable.to_base_variable](generated/xarray.IndexVariable.to_base_variable.html.md): Return this variable as a base xarray.Variable - [xarray.IndexVariable.to_coord](generated/xarray.IndexVariable.to_coord.html.md): to_coord has been deprecated. Use to_index_variable instead. - [xarray.IndexVariable.to_dict](generated/xarray.IndexVariable.to_dict.html.md): Dictionary representation of variable. - [xarray.IndexVariable.to_index](generated/xarray.IndexVariable.to_index.html.md): Convert this variable to a pandas.Index - [xarray.IndexVariable.to_index_variable](generated/xarray.IndexVariable.to_index_variable.html.md): Return this variable as an xarray.IndexVariable - [xarray.IndexVariable.to_variable](generated/xarray.IndexVariable.to_variable.html.md): to_variable has been deprecated. Use to_base_variable instead. - [xarray.IndexVariable.transpose](generated/xarray.IndexVariable.transpose.html.md): Return a new Variable object with transposed dimensions. - [xarray.IndexVariable.unstack](generated/xarray.IndexVariable.unstack.html.md): Unstack an existing dimension into multiple new dimensions. - [xarray.IndexVariable.values](generated/xarray.IndexVariable.values.html.md): The variable’s data as a numpy.ndarray - [xarray.IndexVariable.var](generated/xarray.IndexVariable.var.html.md): Reduce this NamedArray’s data by applying `var` along some dimension(s). - [xarray.IndexVariable.where](generated/xarray.IndexVariable.where.html.md): Page content - [xarray.InvalidTreeError](generated/xarray.InvalidTreeError.html.md): Raised when user attempts to create an invalid tree in some way. - [xarray.MergeError](generated/xarray.MergeError.html.md): Error class for merge failures due to incompatible arguments. - [xarray.NamedArray.all](generated/xarray.NamedArray.all.html.md): Reduce this NamedArray’s data by applying `all` along some dimension(s). - [xarray.NamedArray.any](generated/xarray.NamedArray.any.html.md): Reduce this NamedArray’s data by applying `any` along some dimension(s). - [xarray.NamedArray.attrs](generated/xarray.NamedArray.attrs.html.md): Dictionary of local attributes on this NamedArray. - [xarray.NamedArray.broadcast_to](generated/xarray.NamedArray.broadcast_to.html.md): Broadcast the NamedArray to a new shape. New dimensions are not allowed. - [xarray.NamedArray.chunks](generated/xarray.NamedArray.chunks.html.md): Tuple of block lengths for this NamedArray’s data, in order of dimensions, or None if - [xarray.NamedArray.chunksizes](generated/xarray.NamedArray.chunksizes.html.md): Mapping from dimension names to block lengths for this NamedArray’s data. - [xarray.NamedArray.copy](generated/xarray.NamedArray.copy.html.md): Returns a copy of this object. - [xarray.NamedArray.count](generated/xarray.NamedArray.count.html.md): Reduce this NamedArray’s data by applying `count` along some dimension(s). - [xarray.NamedArray.cumprod](generated/xarray.NamedArray.cumprod.html.md): Reduce this NamedArray’s data by applying `cumprod` along some dimension(s). - [xarray.NamedArray.cumsum](generated/xarray.NamedArray.cumsum.html.md): Reduce this NamedArray’s data by applying `cumsum` along some dimension(s). - [xarray.NamedArray.data](generated/xarray.NamedArray.data.html.md): The NamedArray’s data as an array. The underlying array type - [xarray.NamedArray.dims](generated/xarray.NamedArray.dims.html.md): Tuple of dimension names with which this NamedArray is associated. - [xarray.NamedArray.dtype](generated/xarray.NamedArray.dtype.html.md): Data-type of the array’s elements. - [xarray.NamedArray.expand_dims](generated/xarray.NamedArray.expand_dims.html.md): Expand the dimensions of the NamedArray. - [xarray.NamedArray.get_axis_num](generated/xarray.NamedArray.get_axis_num.html.md): Return axis number(s) corresponding to dimension(s) in this array. - [xarray.NamedArray.max](generated/xarray.NamedArray.max.html.md): Reduce this NamedArray’s data by applying `max` along some dimension(s). - [xarray.NamedArray.mean](generated/xarray.NamedArray.mean.html.md): Reduce this NamedArray’s data by applying `mean` along some dimension(s). - [xarray.NamedArray.median](generated/xarray.NamedArray.median.html.md): Reduce this NamedArray’s data by applying `median` along some dimension(s). - [xarray.NamedArray.min](generated/xarray.NamedArray.min.html.md): Reduce this NamedArray’s data by applying `min` along some dimension(s). - [xarray.NamedArray.nbytes](generated/xarray.NamedArray.nbytes.html.md): Total bytes consumed by the elements of the data array. - [xarray.NamedArray.ndim](generated/xarray.NamedArray.ndim.html.md): Number of array dimensions. - [xarray.NamedArray.prod](generated/xarray.NamedArray.prod.html.md): Reduce this NamedArray’s data by applying `prod` along some dimension(s). - [xarray.NamedArray.reduce](generated/xarray.NamedArray.reduce.html.md): Reduce this array by applying func along some dimension(s). - [xarray.NamedArray.shape](generated/xarray.NamedArray.shape.html.md): Get the shape of the array. - [xarray.NamedArray.size](generated/xarray.NamedArray.size.html.md): Number of elements in the array. - [xarray.NamedArray.sizes](generated/xarray.NamedArray.sizes.html.md): Ordered mapping from dimension names to lengths. - [xarray.NamedArray.std](generated/xarray.NamedArray.std.html.md): Reduce this NamedArray’s data by applying `std` along some dimension(s). - [xarray.NamedArray.sum](generated/xarray.NamedArray.sum.html.md): Reduce this NamedArray’s data by applying `sum` along some dimension(s). - [xarray.NamedArray.var](generated/xarray.NamedArray.var.html.md): Reduce this NamedArray’s data by applying `var` along some dimension(s). - [xarray.NotFoundInTreeError](generated/xarray.NotFoundInTreeError.html.md): Raised when operation can’t be completed because one node is not part of the expected tree. - [xarray.SerializationWarning](generated/xarray.SerializationWarning.html.md): Warnings about encoding/decoding issues in serialization. - [xarray.TreeIsomorphismError](generated/xarray.TreeIsomorphismError.html.md): Error raised if two tree objects do not share the same node structure. - [xarray.Variable.T](generated/xarray.Variable.T.html.md): Return a new object with transposed dimensions. - [xarray.Variable.all](generated/xarray.Variable.all.html.md): Reduce this NamedArray’s data by applying `all` along some dimension(s). - [xarray.Variable.any](generated/xarray.Variable.any.html.md): Reduce this NamedArray’s data by applying `any` along some dimension(s). - [xarray.Variable.argmax](generated/xarray.Variable.argmax.html.md): Index or indices of the maximum of the Variable over one or more dimensions. - [xarray.Variable.argmin](generated/xarray.Variable.argmin.html.md): Index or indices of the minimum of the Variable over one or more dimensions. - [xarray.Variable.argsort](generated/xarray.Variable.argsort.html.md): Returns the indices that would sort this array. - [xarray.Variable.astype](generated/xarray.Variable.astype.html.md): Copy of the Variable object, with data cast to a specified type. - [xarray.Variable.attrs](generated/xarray.Variable.attrs.html.md): Dictionary of local attributes on this NamedArray. - [xarray.Variable.broadcast_equals](generated/xarray.Variable.broadcast_equals.html.md): True if two Variables have the values after being broadcast against - [xarray.Variable.chunk](generated/xarray.Variable.chunk.html.md): Coerce this array’s data into a dask array with the given chunks. - [xarray.Variable.chunks](generated/xarray.Variable.chunks.html.md): Tuple of block lengths for this NamedArray’s data, in order of dimensions, or None if - [xarray.Variable.clip](generated/xarray.Variable.clip.html.md): Return an array whose values are limited to `[min, max]`. - [xarray.Variable.coarsen](generated/xarray.Variable.coarsen.html.md): Apply reduction function. - [xarray.Variable.compute](generated/xarray.Variable.compute.html.md): Trigger loading data into memory and return a new variable. - [xarray.Variable.concat](generated/xarray.Variable.concat.html.md): Concatenate variables along a new or existing dimension. - [xarray.Variable.conj](generated/xarray.Variable.conj.html.md): Complex-conjugate all elements. - [xarray.Variable.conjugate](generated/xarray.Variable.conjugate.html.md): Complex-conjugate all elements. - [xarray.Variable.copy](generated/xarray.Variable.copy.html.md): Returns a copy of this object. - [xarray.Variable.count](generated/xarray.Variable.count.html.md): Reduce this NamedArray’s data by applying `count` along some dimension(s). - [xarray.Variable.cumprod](generated/xarray.Variable.cumprod.html.md): Reduce this NamedArray’s data by applying `cumprod` along some dimension(s). - [xarray.Variable.cumsum](generated/xarray.Variable.cumsum.html.md): Reduce this NamedArray’s data by applying `cumsum` along some dimension(s). - [xarray.Variable.data](generated/xarray.Variable.data.html.md): The Variable’s data as an array. The underlying array type - [xarray.Variable.dims](generated/xarray.Variable.dims.html.md): Tuple of dimension names with which this NamedArray is associated. - [xarray.Variable.drop_encoding](generated/xarray.Variable.drop_encoding.html.md): Return a new Variable without encoding. - [xarray.Variable.dtype](generated/xarray.Variable.dtype.html.md): Data-type of the array’s elements. - [xarray.Variable.encoding](generated/xarray.Variable.encoding.html.md): Dictionary of encodings on this variable. - [xarray.Variable.equals](generated/xarray.Variable.equals.html.md): True if two Variables have the same dimensions and values; - [xarray.Variable.fillna](generated/xarray.Variable.fillna.html.md): Page content - [xarray.Variable.get_axis_num](generated/xarray.Variable.get_axis_num.html.md): Return axis number(s) corresponding to dimension(s) in this array. - [xarray.Variable](generated/xarray.Variable.html.md): A netcdf-like variable consisting of dimensions, data and attributes - [xarray.Variable.identical](generated/xarray.Variable.identical.html.md): Like equals, but also checks attributes. - [xarray.Variable.imag](generated/xarray.Variable.imag.html.md): The imaginary part of the variable. - [xarray.Variable.isel](generated/xarray.Variable.isel.html.md): Return a new array indexed along the specified dimension(s). - [xarray.Variable.isnull](generated/xarray.Variable.isnull.html.md): Test each value in the array for whether it is a missing value. - [xarray.Variable.item](generated/xarray.Variable.item.html.md): Copy an element of an array to a standard Python scalar and return it. - [xarray.Variable.load](generated/xarray.Variable.load.html.md): Trigger loading data into memory and return this variable. - [xarray.Variable.load_async](generated/xarray.Variable.load_async.html.md): Trigger and await asynchronous loading of data into memory and return this variable. - [xarray.Variable.max](generated/xarray.Variable.max.html.md): Reduce this NamedArray’s data by applying `max` along some dimension(s). - [xarray.Variable.mean](generated/xarray.Variable.mean.html.md): Reduce this NamedArray’s data by applying `mean` along some dimension(s). - [xarray.Variable.median](generated/xarray.Variable.median.html.md): Reduce this NamedArray’s data by applying `median` along some dimension(s). - [xarray.Variable.min](generated/xarray.Variable.min.html.md): Reduce this NamedArray’s data by applying `min` along some dimension(s). - [xarray.Variable.nbytes](generated/xarray.Variable.nbytes.html.md): Total bytes consumed by the elements of the data array. - [xarray.Variable.ndim](generated/xarray.Variable.ndim.html.md): Number of array dimensions. - [xarray.Variable.no_conflicts](generated/xarray.Variable.no_conflicts.html.md): True if the intersection of two Variable’s non-null data is - [xarray.Variable.notnull](generated/xarray.Variable.notnull.html.md): Test each value in the array for whether it is not a missing value. - [xarray.Variable.pad](generated/xarray.Variable.pad.html.md): Return a new Variable with padded data. - [xarray.Variable.prod](generated/xarray.Variable.prod.html.md): Reduce this NamedArray’s data by applying `prod` along some dimension(s). - [xarray.Variable.quantile](generated/xarray.Variable.quantile.html.md): Compute the qth quantile of the data along the specified dimension. - [xarray.Variable.rank](generated/xarray.Variable.rank.html.md): Ranks the data. - [xarray.Variable.real](generated/xarray.Variable.real.html.md): The real part of the variable. - [xarray.Variable.reduce](generated/xarray.Variable.reduce.html.md): Reduce this array by applying func along some dimension(s). - [xarray.Variable.roll](generated/xarray.Variable.roll.html.md): Return a new Variable with rolled data. - [xarray.Variable.rolling_window](generated/xarray.Variable.rolling_window.html.md): Make a rolling_window along dim and add a new_dim to the last place. - [xarray.Variable.round](generated/xarray.Variable.round.html.md): Page content - [xarray.Variable.searchsorted](generated/xarray.Variable.searchsorted.html.md): Find indices where elements of v should be inserted in a to maintain order. - [xarray.Variable.set_dims](generated/xarray.Variable.set_dims.html.md): Return a new variable with given set of dimensions. - [xarray.Variable.shape](generated/xarray.Variable.shape.html.md): Get the shape of the array. - [xarray.Variable.shift](generated/xarray.Variable.shift.html.md): Return a new Variable with shifted data. - [xarray.Variable.size](generated/xarray.Variable.size.html.md): Number of elements in the array. - [xarray.Variable.sizes](generated/xarray.Variable.sizes.html.md): Ordered mapping from dimension names to lengths. - [xarray.Variable.squeeze](generated/xarray.Variable.squeeze.html.md): Return a new object with squeezed data. - [xarray.Variable.stack](generated/xarray.Variable.stack.html.md): Stack any number of existing dim into a single new dimension. - [xarray.Variable.std](generated/xarray.Variable.std.html.md): Reduce this NamedArray’s data by applying `std` along some dimension(s). - [xarray.Variable.sum](generated/xarray.Variable.sum.html.md): Reduce this NamedArray’s data by applying `sum` along some dimension(s). - [xarray.Variable.to_base_variable](generated/xarray.Variable.to_base_variable.html.md): Return this variable as a base xarray.Variable - [xarray.Variable.to_coord](generated/xarray.Variable.to_coord.html.md): to_coord has been deprecated. Use to_index_variable instead. - [xarray.Variable.to_dict](generated/xarray.Variable.to_dict.html.md): Dictionary representation of variable. - [xarray.Variable.to_index](generated/xarray.Variable.to_index.html.md): Convert this variable to a pandas.Index - [xarray.Variable.to_index_variable](generated/xarray.Variable.to_index_variable.html.md): Return this variable as an xarray.IndexVariable - [xarray.Variable.to_variable](generated/xarray.Variable.to_variable.html.md): to_variable has been deprecated. Use to_base_variable instead. - [xarray.Variable.transpose](generated/xarray.Variable.transpose.html.md): Return a new Variable object with transposed dimensions. - [xarray.Variable.unstack](generated/xarray.Variable.unstack.html.md): Unstack an existing dimension into multiple new dimensions. - [xarray.Variable.values](generated/xarray.Variable.values.html.md): The variable’s data as a numpy.ndarray - [xarray.Variable.var](generated/xarray.Variable.var.html.md): Reduce this NamedArray’s data by applying `var` along some dimension(s). - [xarray.Variable.where](generated/xarray.Variable.where.html.md): Page content - [xarray.align](generated/xarray.align.html.md): Given any number of Dataset and/or DataArray objects, returns new - [xarray.apply_ufunc](generated/xarray.apply_ufunc.html.md): Apply a vectorized function for unlabeled arrays on xarray objects. - [xarray.as_variable](generated/xarray.as_variable.html.md): Convert an object into a Variable. - [xarray.backends.BackendArray](generated/xarray.backends.BackendArray.html.md): | [`__init__`](#xarray.backends.BackendArray.__init__)() | | - [xarray.backends.BackendEntrypoint.guess_can_open](generated/xarray.backends.BackendEntrypoint.guess_can_open.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.BackendEntrypoint](generated/xarray.backends.BackendEntrypoint.html.md): `BackendEntrypoint` is a class container and it is the main interface - [xarray.backends.BackendEntrypoint.open_dataset](generated/xarray.backends.BackendEntrypoint.open_dataset.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.CachingFileManager.acquire](generated/xarray.backends.CachingFileManager.acquire.html.md): Acquire a file object from the manager. - [xarray.backends.CachingFileManager.acquire_context](generated/xarray.backends.CachingFileManager.acquire_context.html.md): Context manager for acquiring a file. - [xarray.backends.CachingFileManager.close](generated/xarray.backends.CachingFileManager.close.html.md): Explicitly close any associated file object (if necessary). - [xarray.backends.CachingFileManager](generated/xarray.backends.CachingFileManager.html.md): Wrapper for automatically opening and closing file objects. - [xarray.backends.DummyFileManager.acquire](generated/xarray.backends.DummyFileManager.acquire.html.md): Acquire the file object from this manager. - [xarray.backends.DummyFileManager.acquire_context](generated/xarray.backends.DummyFileManager.acquire_context.html.md): Context manager for acquiring a file. Yields a file object. - [xarray.backends.DummyFileManager.close](generated/xarray.backends.DummyFileManager.close.html.md): Close the file object associated with this manager, if needed. - [xarray.backends.DummyFileManager](generated/xarray.backends.DummyFileManager.html.md): FileManager that simply wraps an open file in the FileManager interface. - [xarray.backends.FileManager.acquire](generated/xarray.backends.FileManager.acquire.html.md): Acquire the file object from this manager. - [xarray.backends.FileManager.acquire_context](generated/xarray.backends.FileManager.acquire_context.html.md): Context manager for acquiring a file. Yields a file object. - [xarray.backends.FileManager.close](generated/xarray.backends.FileManager.close.html.md): Close the file object associated with this manager, if needed. - [xarray.backends.FileManager](generated/xarray.backends.FileManager.html.md): Manager for acquiring and closing a file object. - [xarray.backends.H5NetCDFStore.autoclose](generated/xarray.backends.H5NetCDFStore.autoclose.html.md): Page content - [xarray.backends.H5NetCDFStore.close](generated/xarray.backends.H5NetCDFStore.close.html.md): Page content - [xarray.backends.H5NetCDFStore.ds](generated/xarray.backends.H5NetCDFStore.ds.html.md): Page content - [xarray.backends.H5NetCDFStore.encode](generated/xarray.backends.H5NetCDFStore.encode.html.md): Encode the variables and attributes in this store - [xarray.backends.H5NetCDFStore.encode_attribute](generated/xarray.backends.H5NetCDFStore.encode_attribute.html.md): encode one attribute - [xarray.backends.H5NetCDFStore.encode_variable](generated/xarray.backends.H5NetCDFStore.encode_variable.html.md): encode one variable - [xarray.backends.H5NetCDFStore.format](generated/xarray.backends.H5NetCDFStore.format.html.md): Page content - [xarray.backends.H5NetCDFStore.get_attrs](generated/xarray.backends.H5NetCDFStore.get_attrs.html.md): Page content - [xarray.backends.H5NetCDFStore.get_dimensions](generated/xarray.backends.H5NetCDFStore.get_dimensions.html.md): Page content - [xarray.backends.H5NetCDFStore.get_encoding](generated/xarray.backends.H5NetCDFStore.get_encoding.html.md): Page content - [xarray.backends.H5NetCDFStore.get_variables](generated/xarray.backends.H5NetCDFStore.get_variables.html.md): Page content - [xarray.backends.H5NetCDFStore](generated/xarray.backends.H5NetCDFStore.html.md): Store for reading and writing data via h5netcdf - [xarray.backends.H5NetCDFStore.is_remote](generated/xarray.backends.H5NetCDFStore.is_remote.html.md): Page content - [xarray.backends.H5NetCDFStore.load](generated/xarray.backends.H5NetCDFStore.load.html.md): This loads the variables and attributes simultaneously. - [xarray.backends.H5NetCDFStore.lock](generated/xarray.backends.H5NetCDFStore.lock.html.md): Page content - [xarray.backends.H5NetCDFStore.open](generated/xarray.backends.H5NetCDFStore.open.html.md): Page content - [xarray.backends.H5NetCDFStore.open_store_variable](generated/xarray.backends.H5NetCDFStore.open_store_variable.html.md): Page content - [xarray.backends.H5NetCDFStore.prepare_variable](generated/xarray.backends.H5NetCDFStore.prepare_variable.html.md): Page content - [xarray.backends.H5NetCDFStore.set_attribute](generated/xarray.backends.H5NetCDFStore.set_attribute.html.md): Page content - [xarray.backends.H5NetCDFStore.set_attributes](generated/xarray.backends.H5NetCDFStore.set_attributes.html.md): This provides a centralized method to set the dataset attributes on the - [xarray.backends.H5NetCDFStore.set_dimension](generated/xarray.backends.H5NetCDFStore.set_dimension.html.md): Page content - [xarray.backends.H5NetCDFStore.set_dimensions](generated/xarray.backends.H5NetCDFStore.set_dimensions.html.md): This provides a centralized method to set the dimensions on the data - [xarray.backends.H5NetCDFStore.set_variable](generated/xarray.backends.H5NetCDFStore.set_variable.html.md): Page content - [xarray.backends.H5NetCDFStore.set_variables](generated/xarray.backends.H5NetCDFStore.set_variables.html.md): This provides a centralized method to set the variables on the data - [xarray.backends.H5NetCDFStore.store](generated/xarray.backends.H5NetCDFStore.store.html.md): Top level method for putting data on this store, this method: - [xarray.backends.H5NetCDFStore.store_dataset](generated/xarray.backends.H5NetCDFStore.store_dataset.html.md): in stores, variables are all variables AND coordinates - [xarray.backends.H5NetCDFStore.sync](generated/xarray.backends.H5NetCDFStore.sync.html.md): Write all buffered data to disk. - [xarray.backends.H5netcdfBackendEntrypoint.description](generated/xarray.backends.H5netcdfBackendEntrypoint.description.html.md): Page content - [xarray.backends.H5netcdfBackendEntrypoint.guess_can_open](generated/xarray.backends.H5netcdfBackendEntrypoint.guess_can_open.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.H5netcdfBackendEntrypoint](generated/xarray.backends.H5netcdfBackendEntrypoint.html.md): Backend for netCDF files based on the h5netcdf package. - [xarray.backends.H5netcdfBackendEntrypoint.open_dataset](generated/xarray.backends.H5netcdfBackendEntrypoint.open_dataset.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.H5netcdfBackendEntrypoint.url](generated/xarray.backends.H5netcdfBackendEntrypoint.url.html.md): Page content - [xarray.backends.NetCDF4BackendEntrypoint.description](generated/xarray.backends.NetCDF4BackendEntrypoint.description.html.md): Page content - [xarray.backends.NetCDF4BackendEntrypoint.guess_can_open](generated/xarray.backends.NetCDF4BackendEntrypoint.guess_can_open.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.NetCDF4BackendEntrypoint](generated/xarray.backends.NetCDF4BackendEntrypoint.html.md): Backend for netCDF files based on the netCDF4 package. - [xarray.backends.NetCDF4BackendEntrypoint.open_dataset](generated/xarray.backends.NetCDF4BackendEntrypoint.open_dataset.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.NetCDF4BackendEntrypoint.url](generated/xarray.backends.NetCDF4BackendEntrypoint.url.html.md): Page content - [xarray.backends.NetCDF4DataStore.autoclose](generated/xarray.backends.NetCDF4DataStore.autoclose.html.md): Page content - [xarray.backends.NetCDF4DataStore.close](generated/xarray.backends.NetCDF4DataStore.close.html.md): Page content - [xarray.backends.NetCDF4DataStore.ds](generated/xarray.backends.NetCDF4DataStore.ds.html.md): Page content - [xarray.backends.NetCDF4DataStore.encode](generated/xarray.backends.NetCDF4DataStore.encode.html.md): Encode the variables and attributes in this store - [xarray.backends.NetCDF4DataStore.encode_attribute](generated/xarray.backends.NetCDF4DataStore.encode_attribute.html.md): encode one attribute - [xarray.backends.NetCDF4DataStore.encode_variable](generated/xarray.backends.NetCDF4DataStore.encode_variable.html.md): encode one variable - [xarray.backends.NetCDF4DataStore.format](generated/xarray.backends.NetCDF4DataStore.format.html.md): Page content - [xarray.backends.NetCDF4DataStore.get_attrs](generated/xarray.backends.NetCDF4DataStore.get_attrs.html.md): Page content - [xarray.backends.NetCDF4DataStore.get_dimensions](generated/xarray.backends.NetCDF4DataStore.get_dimensions.html.md): Page content - [xarray.backends.NetCDF4DataStore.get_encoding](generated/xarray.backends.NetCDF4DataStore.get_encoding.html.md): Page content - [xarray.backends.NetCDF4DataStore.get_variables](generated/xarray.backends.NetCDF4DataStore.get_variables.html.md): Page content - [xarray.backends.NetCDF4DataStore](generated/xarray.backends.NetCDF4DataStore.html.md): Store for reading and writing data via the Python-NetCDF4 library. - [xarray.backends.NetCDF4DataStore.is_remote](generated/xarray.backends.NetCDF4DataStore.is_remote.html.md): Page content - [xarray.backends.NetCDF4DataStore.load](generated/xarray.backends.NetCDF4DataStore.load.html.md): This loads the variables and attributes simultaneously. - [xarray.backends.NetCDF4DataStore.lock](generated/xarray.backends.NetCDF4DataStore.lock.html.md): Page content - [xarray.backends.NetCDF4DataStore.open](generated/xarray.backends.NetCDF4DataStore.open.html.md): Page content - [xarray.backends.NetCDF4DataStore.open_store_variable](generated/xarray.backends.NetCDF4DataStore.open_store_variable.html.md): Page content - [xarray.backends.NetCDF4DataStore.prepare_variable](generated/xarray.backends.NetCDF4DataStore.prepare_variable.html.md): Page content - [xarray.backends.NetCDF4DataStore.set_attribute](generated/xarray.backends.NetCDF4DataStore.set_attribute.html.md): Page content - [xarray.backends.NetCDF4DataStore.set_attributes](generated/xarray.backends.NetCDF4DataStore.set_attributes.html.md): This provides a centralized method to set the dataset attributes on the - [xarray.backends.NetCDF4DataStore.set_dimension](generated/xarray.backends.NetCDF4DataStore.set_dimension.html.md): Page content - [xarray.backends.NetCDF4DataStore.set_dimensions](generated/xarray.backends.NetCDF4DataStore.set_dimensions.html.md): This provides a centralized method to set the dimensions on the data - [xarray.backends.NetCDF4DataStore.set_variable](generated/xarray.backends.NetCDF4DataStore.set_variable.html.md): Page content - [xarray.backends.NetCDF4DataStore.set_variables](generated/xarray.backends.NetCDF4DataStore.set_variables.html.md): This provides a centralized method to set the variables on the data - [xarray.backends.NetCDF4DataStore.store](generated/xarray.backends.NetCDF4DataStore.store.html.md): Top level method for putting data on this store, this method: - [xarray.backends.NetCDF4DataStore.store_dataset](generated/xarray.backends.NetCDF4DataStore.store_dataset.html.md): in stores, variables are all variables AND coordinates - [xarray.backends.NetCDF4DataStore.sync](generated/xarray.backends.NetCDF4DataStore.sync.html.md): Write all buffered data to disk. - [xarray.backends.PydapBackendEntrypoint.description](generated/xarray.backends.PydapBackendEntrypoint.description.html.md): Page content - [xarray.backends.PydapBackendEntrypoint.guess_can_open](generated/xarray.backends.PydapBackendEntrypoint.guess_can_open.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.PydapBackendEntrypoint](generated/xarray.backends.PydapBackendEntrypoint.html.md): Backend for steaming datasets over the internet using - [xarray.backends.PydapBackendEntrypoint.open_dataset](generated/xarray.backends.PydapBackendEntrypoint.open_dataset.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.PydapBackendEntrypoint.url](generated/xarray.backends.PydapBackendEntrypoint.url.html.md): Page content - [xarray.backends.PydapDataStore.close](generated/xarray.backends.PydapDataStore.close.html.md): Page content - [xarray.backends.PydapDataStore.get_attrs](generated/xarray.backends.PydapDataStore.get_attrs.html.md): Remove any opendap specific attributes - [xarray.backends.PydapDataStore.get_dimensions](generated/xarray.backends.PydapDataStore.get_dimensions.html.md): Page content - [xarray.backends.PydapDataStore.get_encoding](generated/xarray.backends.PydapDataStore.get_encoding.html.md): Page content - [xarray.backends.PydapDataStore.get_variables](generated/xarray.backends.PydapDataStore.get_variables.html.md): Page content - [xarray.backends.PydapDataStore](generated/xarray.backends.PydapDataStore.html.md): Store for accessing OpenDAP datasets with pydap. - [xarray.backends.PydapDataStore.load](generated/xarray.backends.PydapDataStore.load.html.md): This loads the variables and attributes simultaneously. - [xarray.backends.PydapDataStore.open](generated/xarray.backends.PydapDataStore.open.html.md): Page content - [xarray.backends.PydapDataStore.open_store_variable](generated/xarray.backends.PydapDataStore.open_store_variable.html.md): Page content - [xarray.backends.ScipyBackendEntrypoint.description](generated/xarray.backends.ScipyBackendEntrypoint.description.html.md): Page content - [xarray.backends.ScipyBackendEntrypoint.guess_can_open](generated/xarray.backends.ScipyBackendEntrypoint.guess_can_open.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.ScipyBackendEntrypoint](generated/xarray.backends.ScipyBackendEntrypoint.html.md): Backend for netCDF files based on the scipy package. - [xarray.backends.ScipyBackendEntrypoint.open_dataset](generated/xarray.backends.ScipyBackendEntrypoint.open_dataset.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.ScipyBackendEntrypoint.url](generated/xarray.backends.ScipyBackendEntrypoint.url.html.md): Page content - [xarray.backends.ScipyDataStore.close](generated/xarray.backends.ScipyDataStore.close.html.md): Page content - [xarray.backends.ScipyDataStore.ds](generated/xarray.backends.ScipyDataStore.ds.html.md): Page content - [xarray.backends.ScipyDataStore.encode](generated/xarray.backends.ScipyDataStore.encode.html.md): Encode the variables and attributes in this store - [xarray.backends.ScipyDataStore.encode_attribute](generated/xarray.backends.ScipyDataStore.encode_attribute.html.md): encode one attribute - [xarray.backends.ScipyDataStore.encode_variable](generated/xarray.backends.ScipyDataStore.encode_variable.html.md): encode one variable - [xarray.backends.ScipyDataStore.get_attrs](generated/xarray.backends.ScipyDataStore.get_attrs.html.md): Page content - [xarray.backends.ScipyDataStore.get_dimensions](generated/xarray.backends.ScipyDataStore.get_dimensions.html.md): Page content - [xarray.backends.ScipyDataStore.get_encoding](generated/xarray.backends.ScipyDataStore.get_encoding.html.md): Page content - [xarray.backends.ScipyDataStore.get_variables](generated/xarray.backends.ScipyDataStore.get_variables.html.md): Page content - [xarray.backends.ScipyDataStore](generated/xarray.backends.ScipyDataStore.html.md): Store for reading and writing data via scipy.io.netcdf_file. - [xarray.backends.ScipyDataStore.load](generated/xarray.backends.ScipyDataStore.load.html.md): This loads the variables and attributes simultaneously. - [xarray.backends.ScipyDataStore.open_store_variable](generated/xarray.backends.ScipyDataStore.open_store_variable.html.md): Page content - [xarray.backends.ScipyDataStore.prepare_variable](generated/xarray.backends.ScipyDataStore.prepare_variable.html.md): Page content - [xarray.backends.ScipyDataStore.set_attribute](generated/xarray.backends.ScipyDataStore.set_attribute.html.md): Page content - [xarray.backends.ScipyDataStore.set_attributes](generated/xarray.backends.ScipyDataStore.set_attributes.html.md): This provides a centralized method to set the dataset attributes on the - [xarray.backends.ScipyDataStore.set_dimension](generated/xarray.backends.ScipyDataStore.set_dimension.html.md): Page content - [xarray.backends.ScipyDataStore.set_dimensions](generated/xarray.backends.ScipyDataStore.set_dimensions.html.md): This provides a centralized method to set the dimensions on the data - [xarray.backends.ScipyDataStore.set_variable](generated/xarray.backends.ScipyDataStore.set_variable.html.md): Page content - [xarray.backends.ScipyDataStore.set_variables](generated/xarray.backends.ScipyDataStore.set_variables.html.md): This provides a centralized method to set the variables on the data - [xarray.backends.ScipyDataStore.store](generated/xarray.backends.ScipyDataStore.store.html.md): Top level method for putting data on this store, this method: - [xarray.backends.ScipyDataStore.store_dataset](generated/xarray.backends.ScipyDataStore.store_dataset.html.md): in stores, variables are all variables AND coordinates - [xarray.backends.ScipyDataStore.sync](generated/xarray.backends.ScipyDataStore.sync.html.md): Write all buffered data to disk. - [xarray.backends.StoreBackendEntrypoint.description](generated/xarray.backends.StoreBackendEntrypoint.description.html.md): Page content - [xarray.backends.StoreBackendEntrypoint.guess_can_open](generated/xarray.backends.StoreBackendEntrypoint.guess_can_open.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.StoreBackendEntrypoint](generated/xarray.backends.StoreBackendEntrypoint.html.md): | [`__init__`](#xarray.backends.StoreBackendEntrypoint.__init__)() ... - [xarray.backends.StoreBackendEntrypoint.open_dataset](generated/xarray.backends.StoreBackendEntrypoint.open_dataset.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.StoreBackendEntrypoint.url](generated/xarray.backends.StoreBackendEntrypoint.url.html.md): Page content - [xarray.backends.ZarrBackendEntrypoint.description](generated/xarray.backends.ZarrBackendEntrypoint.description.html.md): Page content - [xarray.backends.ZarrBackendEntrypoint.guess_can_open](generated/xarray.backends.ZarrBackendEntrypoint.guess_can_open.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.ZarrBackendEntrypoint](generated/xarray.backends.ZarrBackendEntrypoint.html.md): Backend for “.zarr” files based on the zarr package. - [xarray.backends.ZarrBackendEntrypoint.open_dataset](generated/xarray.backends.ZarrBackendEntrypoint.open_dataset.html.md): Backend open_dataset method used by Xarray in [`open_dataset()`](xarray.open_dataset.md#xarray.open_... - [xarray.backends.ZarrBackendEntrypoint.url](generated/xarray.backends.ZarrBackendEntrypoint.url.html.md): Page content - [xarray.backends.ZarrStore.close](generated/xarray.backends.ZarrStore.close.html.md): Page content - [xarray.backends.ZarrStore.ds](generated/xarray.backends.ZarrStore.ds.html.md): Page content - [xarray.backends.ZarrStore.encode_attribute](generated/xarray.backends.ZarrStore.encode_attribute.html.md): encode one attribute - [xarray.backends.ZarrStore.encode_variable](generated/xarray.backends.ZarrStore.encode_variable.html.md): encode one variable - [xarray.backends.ZarrStore.get_attrs](generated/xarray.backends.ZarrStore.get_attrs.html.md): Page content - [xarray.backends.ZarrStore.get_dimensions](generated/xarray.backends.ZarrStore.get_dimensions.html.md): Page content - [xarray.backends.ZarrStore.get_variables](generated/xarray.backends.ZarrStore.get_variables.html.md): Page content - [xarray.backends.ZarrStore](generated/xarray.backends.ZarrStore.html.md): Store for reading and writing data via zarr - [xarray.backends.ZarrStore.open_group](generated/xarray.backends.ZarrStore.open_group.html.md): Page content - [xarray.backends.ZarrStore.open_store_variable](generated/xarray.backends.ZarrStore.open_store_variable.html.md): Page content - [xarray.backends.ZarrStore.set_attributes](generated/xarray.backends.ZarrStore.set_attributes.html.md): This provides a centralized method to set the dataset attributes on the - [xarray.backends.ZarrStore.set_dimensions](generated/xarray.backends.ZarrStore.set_dimensions.html.md): This provides a centralized method to set the dimensions on the data - [xarray.backends.ZarrStore.set_variables](generated/xarray.backends.ZarrStore.set_variables.html.md): This provides a centralized method to set the variables on the data - [xarray.backends.ZarrStore.store](generated/xarray.backends.ZarrStore.store.html.md): Top level method for putting data on this store, this method: - [xarray.backends.ZarrStore.sync](generated/xarray.backends.ZarrStore.sync.html.md): Write all buffered data to disk. - [xarray.backends.list_engines](generated/xarray.backends.list_engines.html.md): Return a dictionary of available engines and their BackendEntrypoint objects. - [xarray.backends.refresh_engines](generated/xarray.backends.refresh_engines.html.md): Refreshes the backend engines based on installed packages. - [xarray.broadcast](generated/xarray.broadcast.html.md): Explicitly broadcast any number of DataArray or Dataset objects against - [xarray.cftime_range](generated/xarray.cftime_range.html.md): Return a fixed frequency CFTimeIndex. - [xarray.coders.CFDatetimeCoder](generated/xarray.coders.CFDatetimeCoder.html.md): Coder for CF Datetime coding. - [xarray.coding.strings.CharacterArrayCoder](generated/xarray.coding.strings.CharacterArrayCoder.html.md): Transforms between arrays containing bytes and character arrays. - [xarray.coding.strings.EncodedStringCoder](generated/xarray.coding.strings.EncodedStringCoder.html.md): Transforms between unicode strings and fixed-width UTF-8 bytes. - [xarray.coding.times.CFDatetimeCoder](generated/xarray.coding.times.CFDatetimeCoder.html.md): Coder for CF Datetime coding. - [xarray.coding.times.CFTimedeltaCoder](generated/xarray.coding.times.CFTimedeltaCoder.html.md): Coder for CF Timedelta coding. - [xarray.coding.variables.CFMaskCoder](generated/xarray.coding.variables.CFMaskCoder.html.md): Mask or unmask fill values according to CF conventions. - [xarray.coding.variables.CFScaleOffsetCoder](generated/xarray.coding.variables.CFScaleOffsetCoder.html.md): Scale and offset variables according to CF conventions. - [xarray.combine_by_coords](generated/xarray.combine_by_coords.html.md): Attempt to auto-magically combine the given datasets (or data arrays) - [xarray.combine_nested](generated/xarray.combine_nested.html.md): Explicitly combine an N-dimensional grid of datasets into one by using a - [xarray.computation.rolling.DataArrayCoarsen.all](generated/xarray.computation.rolling.DataArrayCoarsen.all.html.md): Reduce this DataArrayCoarsen’s data by applying all along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.any](generated/xarray.computation.rolling.DataArrayCoarsen.any.html.md): Reduce this DataArrayCoarsen’s data by applying any along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.boundary](generated/xarray.computation.rolling.DataArrayCoarsen.boundary.html.md): Page content - [xarray.computation.rolling.DataArrayCoarsen.construct](generated/xarray.computation.rolling.DataArrayCoarsen.construct.html.md): Convert this Coarsen object to a DataArray or Dataset, - [xarray.computation.rolling.DataArrayCoarsen.coord_func](generated/xarray.computation.rolling.DataArrayCoarsen.coord_func.html.md): Page content - [xarray.computation.rolling.DataArrayCoarsen.count](generated/xarray.computation.rolling.DataArrayCoarsen.count.html.md): Reduce this DataArrayCoarsen’s data by applying count along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen](generated/xarray.computation.rolling.DataArrayCoarsen.html.md): Moving window object. - [xarray.computation.rolling.DataArrayCoarsen.max](generated/xarray.computation.rolling.DataArrayCoarsen.max.html.md): Reduce this DataArrayCoarsen’s data by applying max along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.mean](generated/xarray.computation.rolling.DataArrayCoarsen.mean.html.md): Reduce this DataArrayCoarsen’s data by applying mean along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.median](generated/xarray.computation.rolling.DataArrayCoarsen.median.html.md): Reduce this DataArrayCoarsen’s data by applying median along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.min](generated/xarray.computation.rolling.DataArrayCoarsen.min.html.md): Reduce this DataArrayCoarsen’s data by applying min along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.obj](generated/xarray.computation.rolling.DataArrayCoarsen.obj.html.md): Page content - [xarray.computation.rolling.DataArrayCoarsen.prod](generated/xarray.computation.rolling.DataArrayCoarsen.prod.html.md): Reduce this DataArrayCoarsen’s data by applying prod along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.reduce](generated/xarray.computation.rolling.DataArrayCoarsen.reduce.html.md): Reduce the items in this group by applying func along some - [xarray.computation.rolling.DataArrayCoarsen.side](generated/xarray.computation.rolling.DataArrayCoarsen.side.html.md): Page content - [xarray.computation.rolling.DataArrayCoarsen.std](generated/xarray.computation.rolling.DataArrayCoarsen.std.html.md): Reduce this DataArrayCoarsen’s data by applying std along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.sum](generated/xarray.computation.rolling.DataArrayCoarsen.sum.html.md): Reduce this DataArrayCoarsen’s data by applying sum along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.trim_excess](generated/xarray.computation.rolling.DataArrayCoarsen.trim_excess.html.md): Page content - [xarray.computation.rolling.DataArrayCoarsen.var](generated/xarray.computation.rolling.DataArrayCoarsen.var.html.md): Reduce this DataArrayCoarsen’s data by applying var along some dimension(s). - [xarray.computation.rolling.DataArrayCoarsen.windows](generated/xarray.computation.rolling.DataArrayCoarsen.windows.html.md): Page content - [xarray.computation.rolling.DataArrayRolling._\_iter_\_](generated/xarray.computation.rolling.DataArrayRolling.__iter__.html.md): Page content - [xarray.computation.rolling.DataArrayRolling.argmax](generated/xarray.computation.rolling.DataArrayRolling.argmax.html.md): Reduce this object’s data windows by applying argmax along its dimension. - [xarray.computation.rolling.DataArrayRolling.argmin](generated/xarray.computation.rolling.DataArrayRolling.argmin.html.md): Reduce this object’s data windows by applying argmin along its dimension. - [xarray.computation.rolling.DataArrayRolling.center](generated/xarray.computation.rolling.DataArrayRolling.center.html.md): Page content - [xarray.computation.rolling.DataArrayRolling.construct](generated/xarray.computation.rolling.DataArrayRolling.construct.html.md): Convert this rolling object to xr.DataArray, - [xarray.computation.rolling.DataArrayRolling.count](generated/xarray.computation.rolling.DataArrayRolling.count.html.md): Reduce this object’s data windows by applying count along its dimension. - [xarray.computation.rolling.DataArrayRolling.dim](generated/xarray.computation.rolling.DataArrayRolling.dim.html.md): Page content - [xarray.computation.rolling.DataArrayRolling](generated/xarray.computation.rolling.DataArrayRolling.html.md): Moving window object for DataArray. - [xarray.computation.rolling.DataArrayRolling.max](generated/xarray.computation.rolling.DataArrayRolling.max.html.md): Reduce this object’s data windows by applying max along its dimension. - [xarray.computation.rolling.DataArrayRolling.mean](generated/xarray.computation.rolling.DataArrayRolling.mean.html.md): Reduce this object’s data windows by applying mean along its dimension. - [xarray.computation.rolling.DataArrayRolling.median](generated/xarray.computation.rolling.DataArrayRolling.median.html.md): Reduce this object’s data windows by applying median along its dimension. - [xarray.computation.rolling.DataArrayRolling.min](generated/xarray.computation.rolling.DataArrayRolling.min.html.md): Reduce this object’s data windows by applying min along its dimension. - [xarray.computation.rolling.DataArrayRolling.min_periods](generated/xarray.computation.rolling.DataArrayRolling.min_periods.html.md): Page content - [xarray.computation.rolling.DataArrayRolling.obj](generated/xarray.computation.rolling.DataArrayRolling.obj.html.md): Page content - [xarray.computation.rolling.DataArrayRolling.prod](generated/xarray.computation.rolling.DataArrayRolling.prod.html.md): Reduce this object’s data windows by applying prod along its dimension. - [xarray.computation.rolling.DataArrayRolling.reduce](generated/xarray.computation.rolling.DataArrayRolling.reduce.html.md): Reduce each window by applying func. - [xarray.computation.rolling.DataArrayRolling.std](generated/xarray.computation.rolling.DataArrayRolling.std.html.md): Reduce this object’s data windows by applying std along its dimension. - [xarray.computation.rolling.DataArrayRolling.sum](generated/xarray.computation.rolling.DataArrayRolling.sum.html.md): Reduce this object’s data windows by applying sum along its dimension. - [xarray.computation.rolling.DataArrayRolling.var](generated/xarray.computation.rolling.DataArrayRolling.var.html.md): Reduce this object’s data windows by applying var along its dimension. - [xarray.computation.rolling.DataArrayRolling.window](generated/xarray.computation.rolling.DataArrayRolling.window.html.md): Page content - [xarray.computation.rolling.DataArrayRolling.window_labels](generated/xarray.computation.rolling.DataArrayRolling.window_labels.html.md): Page content - [xarray.computation.rolling.DatasetCoarsen.all](generated/xarray.computation.rolling.DatasetCoarsen.all.html.md): Reduce this DatasetCoarsen’s data by applying all along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.any](generated/xarray.computation.rolling.DatasetCoarsen.any.html.md): Reduce this DatasetCoarsen’s data by applying any along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.boundary](generated/xarray.computation.rolling.DatasetCoarsen.boundary.html.md): Page content - [xarray.computation.rolling.DatasetCoarsen.construct](generated/xarray.computation.rolling.DatasetCoarsen.construct.html.md): Convert this Coarsen object to a DataArray or Dataset, - [xarray.computation.rolling.DatasetCoarsen.coord_func](generated/xarray.computation.rolling.DatasetCoarsen.coord_func.html.md): Page content - [xarray.computation.rolling.DatasetCoarsen.count](generated/xarray.computation.rolling.DatasetCoarsen.count.html.md): Reduce this DatasetCoarsen’s data by applying count along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen](generated/xarray.computation.rolling.DatasetCoarsen.html.md): Moving window object. - [xarray.computation.rolling.DatasetCoarsen.max](generated/xarray.computation.rolling.DatasetCoarsen.max.html.md): Reduce this DatasetCoarsen’s data by applying max along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.mean](generated/xarray.computation.rolling.DatasetCoarsen.mean.html.md): Reduce this DatasetCoarsen’s data by applying mean along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.median](generated/xarray.computation.rolling.DatasetCoarsen.median.html.md): Reduce this DatasetCoarsen’s data by applying median along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.min](generated/xarray.computation.rolling.DatasetCoarsen.min.html.md): Reduce this DatasetCoarsen’s data by applying min along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.obj](generated/xarray.computation.rolling.DatasetCoarsen.obj.html.md): Page content - [xarray.computation.rolling.DatasetCoarsen.prod](generated/xarray.computation.rolling.DatasetCoarsen.prod.html.md): Reduce this DatasetCoarsen’s data by applying prod along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.reduce](generated/xarray.computation.rolling.DatasetCoarsen.reduce.html.md): Reduce the items in this group by applying func along some - [xarray.computation.rolling.DatasetCoarsen.side](generated/xarray.computation.rolling.DatasetCoarsen.side.html.md): Page content - [xarray.computation.rolling.DatasetCoarsen.std](generated/xarray.computation.rolling.DatasetCoarsen.std.html.md): Reduce this DatasetCoarsen’s data by applying std along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.sum](generated/xarray.computation.rolling.DatasetCoarsen.sum.html.md): Reduce this DatasetCoarsen’s data by applying sum along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.trim_excess](generated/xarray.computation.rolling.DatasetCoarsen.trim_excess.html.md): Page content - [xarray.computation.rolling.DatasetCoarsen.var](generated/xarray.computation.rolling.DatasetCoarsen.var.html.md): Reduce this DatasetCoarsen’s data by applying var along some dimension(s). - [xarray.computation.rolling.DatasetCoarsen.windows](generated/xarray.computation.rolling.DatasetCoarsen.windows.html.md): Page content - [xarray.computation.rolling.DatasetRolling.argmax](generated/xarray.computation.rolling.DatasetRolling.argmax.html.md): Reduce this object’s data windows by applying argmax along its dimension. - [xarray.computation.rolling.DatasetRolling.argmin](generated/xarray.computation.rolling.DatasetRolling.argmin.html.md): Reduce this object’s data windows by applying argmin along its dimension. - [xarray.computation.rolling.DatasetRolling.center](generated/xarray.computation.rolling.DatasetRolling.center.html.md): Page content - [xarray.computation.rolling.DatasetRolling.construct](generated/xarray.computation.rolling.DatasetRolling.construct.html.md): Convert this rolling object to xr.Dataset, - [xarray.computation.rolling.DatasetRolling.count](generated/xarray.computation.rolling.DatasetRolling.count.html.md): Reduce this object’s data windows by applying count along its dimension. - [xarray.computation.rolling.DatasetRolling.dim](generated/xarray.computation.rolling.DatasetRolling.dim.html.md): Page content - [xarray.computation.rolling.DatasetRolling](generated/xarray.computation.rolling.DatasetRolling.html.md): Moving window object for Dataset. - [xarray.computation.rolling.DatasetRolling.max](generated/xarray.computation.rolling.DatasetRolling.max.html.md): Reduce this object’s data windows by applying max along its dimension. - [xarray.computation.rolling.DatasetRolling.mean](generated/xarray.computation.rolling.DatasetRolling.mean.html.md): Reduce this object’s data windows by applying mean along its dimension. - [xarray.computation.rolling.DatasetRolling.median](generated/xarray.computation.rolling.DatasetRolling.median.html.md): Reduce this object’s data windows by applying median along its dimension. - [xarray.computation.rolling.DatasetRolling.min](generated/xarray.computation.rolling.DatasetRolling.min.html.md): Reduce this object’s data windows by applying min along its dimension. - [xarray.computation.rolling.DatasetRolling.min_periods](generated/xarray.computation.rolling.DatasetRolling.min_periods.html.md): Page content - [xarray.computation.rolling.DatasetRolling.obj](generated/xarray.computation.rolling.DatasetRolling.obj.html.md): Page content - [xarray.computation.rolling.DatasetRolling.prod](generated/xarray.computation.rolling.DatasetRolling.prod.html.md): Reduce this object’s data windows by applying prod along its dimension. - [xarray.computation.rolling.DatasetRolling.reduce](generated/xarray.computation.rolling.DatasetRolling.reduce.html.md): Reduce the items in this group by applying func along some - [xarray.computation.rolling.DatasetRolling.rollings](generated/xarray.computation.rolling.DatasetRolling.rollings.html.md): Page content - [xarray.computation.rolling.DatasetRolling.std](generated/xarray.computation.rolling.DatasetRolling.std.html.md): Reduce this object’s data windows by applying std along its dimension. - [xarray.computation.rolling.DatasetRolling.sum](generated/xarray.computation.rolling.DatasetRolling.sum.html.md): Reduce this object’s data windows by applying sum along its dimension. - [xarray.computation.rolling.DatasetRolling.var](generated/xarray.computation.rolling.DatasetRolling.var.html.md): Reduce this object’s data windows by applying var along its dimension. - [xarray.computation.rolling.DatasetRolling.window](generated/xarray.computation.rolling.DatasetRolling.window.html.md): Page content - [xarray.computation.rolling_exp.RollingExp](generated/xarray.computation.rolling_exp.RollingExp.html.md): Exponentially-weighted moving window object. - [xarray.computation.rolling_exp.RollingExp.mean](generated/xarray.computation.rolling_exp.RollingExp.mean.html.md): Exponentially weighted moving average. - [xarray.computation.rolling_exp.RollingExp.sum](generated/xarray.computation.rolling_exp.RollingExp.sum.html.md): Exponentially weighted moving sum. - [xarray.computation.weighted.DataArrayWeighted](generated/xarray.computation.weighted.DataArrayWeighted.html.md): Create a Weighted object - [xarray.computation.weighted.DataArrayWeighted.mean](generated/xarray.computation.weighted.DataArrayWeighted.mean.html.md): Reduce this Dataset’s data by a weighted `mean` along some dimension(s). - [xarray.computation.weighted.DataArrayWeighted.obj](generated/xarray.computation.weighted.DataArrayWeighted.obj.html.md): Page content - [xarray.computation.weighted.DataArrayWeighted.quantile](generated/xarray.computation.weighted.DataArrayWeighted.quantile.html.md): Apply a weighted `quantile` to this Dataset’s data along some dimension(s). - [xarray.computation.weighted.DataArrayWeighted.std](generated/xarray.computation.weighted.DataArrayWeighted.std.html.md): Reduce this Dataset’s data by a weighted `std` along some dimension(s). - [xarray.computation.weighted.DataArrayWeighted.sum](generated/xarray.computation.weighted.DataArrayWeighted.sum.html.md): Reduce this Dataset’s data by a weighted `sum` along some dimension(s). - [xarray.computation.weighted.DataArrayWeighted.sum_of_squares](generated/xarray.computation.weighted.DataArrayWeighted.sum_of_squares.html.md): Reduce this Dataset’s data by a weighted `sum_of_squares` along some dimension(s). - [xarray.computation.weighted.DataArrayWeighted.sum_of_weights](generated/xarray.computation.weighted.DataArrayWeighted.sum_of_weights.html.md): Calculate the sum of weights, accounting for missing values in the data. - [xarray.computation.weighted.DataArrayWeighted.var](generated/xarray.computation.weighted.DataArrayWeighted.var.html.md): Reduce this Dataset’s data by a weighted `var` along some dimension(s). - [xarray.computation.weighted.DataArrayWeighted.weights](generated/xarray.computation.weighted.DataArrayWeighted.weights.html.md): Page content - [xarray.computation.weighted.DatasetWeighted](generated/xarray.computation.weighted.DatasetWeighted.html.md): Create a Weighted object - [xarray.computation.weighted.DatasetWeighted.mean](generated/xarray.computation.weighted.DatasetWeighted.mean.html.md): Reduce this Dataset’s data by a weighted `mean` along some dimension(s). - [xarray.computation.weighted.DatasetWeighted.obj](generated/xarray.computation.weighted.DatasetWeighted.obj.html.md): Page content - [xarray.computation.weighted.DatasetWeighted.quantile](generated/xarray.computation.weighted.DatasetWeighted.quantile.html.md): Apply a weighted `quantile` to this Dataset’s data along some dimension(s). - [xarray.computation.weighted.DatasetWeighted.std](generated/xarray.computation.weighted.DatasetWeighted.std.html.md): Reduce this Dataset’s data by a weighted `std` along some dimension(s). - [xarray.computation.weighted.DatasetWeighted.sum](generated/xarray.computation.weighted.DatasetWeighted.sum.html.md): Reduce this Dataset’s data by a weighted `sum` along some dimension(s). - [xarray.computation.weighted.DatasetWeighted.sum_of_squares](generated/xarray.computation.weighted.DatasetWeighted.sum_of_squares.html.md): Reduce this Dataset’s data by a weighted `sum_of_squares` along some dimension(s). - [xarray.computation.weighted.DatasetWeighted.sum_of_weights](generated/xarray.computation.weighted.DatasetWeighted.sum_of_weights.html.md): Calculate the sum of weights, accounting for missing values in the data. - [xarray.computation.weighted.DatasetWeighted.var](generated/xarray.computation.weighted.DatasetWeighted.var.html.md): Reduce this Dataset’s data by a weighted `var` along some dimension(s). - [xarray.computation.weighted.DatasetWeighted.weights](generated/xarray.computation.weighted.DatasetWeighted.weights.html.md): Page content - [xarray.concat](generated/xarray.concat.html.md): Concatenate xarray objects along a new or existing dimension. - [xarray.conventions.decode_cf_variables](generated/xarray.conventions.decode_cf_variables.html.md): Decode several CF encoded variables. - [xarray.core.accessor_dt.DatetimeAccessor.calendar](generated/xarray.core.accessor_dt.DatetimeAccessor.calendar.html.md): The name of the calendar of the dates. - [xarray.core.accessor_dt.DatetimeAccessor.ceil](generated/xarray.core.accessor_dt.DatetimeAccessor.ceil.html.md): Round timestamps upward to specified frequency resolution. - [xarray.core.accessor_dt.DatetimeAccessor.date](generated/xarray.core.accessor_dt.DatetimeAccessor.date.html.md): Date corresponding to datetimes - [xarray.core.accessor_dt.DatetimeAccessor.day](generated/xarray.core.accessor_dt.DatetimeAccessor.day.html.md): The days of the datetime - [xarray.core.accessor_dt.DatetimeAccessor.day_of_week](generated/xarray.core.accessor_dt.DatetimeAccessor.day_of_week.html.md): The day of the week with Monday=0, Sunday=6 - [xarray.core.accessor_dt.DatetimeAccessor.day_of_year](generated/xarray.core.accessor_dt.DatetimeAccessor.day_of_year.html.md): The ordinal day of the year - [xarray.core.accessor_dt.DatetimeAccessor.dayofweek](generated/xarray.core.accessor_dt.DatetimeAccessor.dayofweek.html.md): The day of the week with Monday=0, Sunday=6 - [xarray.core.accessor_dt.DatetimeAccessor.dayofyear](generated/xarray.core.accessor_dt.DatetimeAccessor.dayofyear.html.md): The ordinal day of the year - [xarray.core.accessor_dt.DatetimeAccessor.days_in_month](generated/xarray.core.accessor_dt.DatetimeAccessor.days_in_month.html.md): The number of days in the month - [xarray.core.accessor_dt.DatetimeAccessor.daysinmonth](generated/xarray.core.accessor_dt.DatetimeAccessor.daysinmonth.html.md): The number of days in the month - [xarray.core.accessor_dt.DatetimeAccessor.floor](generated/xarray.core.accessor_dt.DatetimeAccessor.floor.html.md): Round timestamps downward to specified frequency resolution. - [xarray.core.accessor_dt.DatetimeAccessor.hour](generated/xarray.core.accessor_dt.DatetimeAccessor.hour.html.md): The hours of the datetime - [xarray.core.accessor_dt.DatetimeAccessor](generated/xarray.core.accessor_dt.DatetimeAccessor.html.md): Access datetime fields for DataArrays with datetime-like dtypes. - [xarray.core.accessor_dt.DatetimeAccessor.is_leap_year](generated/xarray.core.accessor_dt.DatetimeAccessor.is_leap_year.html.md): Indicate if the date belongs to a leap year - [xarray.core.accessor_dt.DatetimeAccessor.is_month_end](generated/xarray.core.accessor_dt.DatetimeAccessor.is_month_end.html.md): Indicate whether the date is the last day of the month - [xarray.core.accessor_dt.DatetimeAccessor.is_month_start](generated/xarray.core.accessor_dt.DatetimeAccessor.is_month_start.html.md): Indicate whether the date is the first day of the month - [xarray.core.accessor_dt.DatetimeAccessor.is_quarter_end](generated/xarray.core.accessor_dt.DatetimeAccessor.is_quarter_end.html.md): Indicate whether the date is the last day of a quarter - [xarray.core.accessor_dt.DatetimeAccessor.is_quarter_start](generated/xarray.core.accessor_dt.DatetimeAccessor.is_quarter_start.html.md): Indicate whether the date is the first day of a quarter - [xarray.core.accessor_dt.DatetimeAccessor.is_year_end](generated/xarray.core.accessor_dt.DatetimeAccessor.is_year_end.html.md): Indicate whether the date is the last day of the year - [xarray.core.accessor_dt.DatetimeAccessor.is_year_start](generated/xarray.core.accessor_dt.DatetimeAccessor.is_year_start.html.md): Indicate whether the date is the first day of a year - [xarray.core.accessor_dt.DatetimeAccessor.isocalendar](generated/xarray.core.accessor_dt.DatetimeAccessor.isocalendar.html.md): Dataset containing ISO year, week number, and weekday. - [xarray.core.accessor_dt.DatetimeAccessor.microsecond](generated/xarray.core.accessor_dt.DatetimeAccessor.microsecond.html.md): The microseconds of the datetime - [xarray.core.accessor_dt.DatetimeAccessor.minute](generated/xarray.core.accessor_dt.DatetimeAccessor.minute.html.md): The minutes of the datetime - [xarray.core.accessor_dt.DatetimeAccessor.month](generated/xarray.core.accessor_dt.DatetimeAccessor.month.html.md): The month as January=1, December=12 - [xarray.core.accessor_dt.DatetimeAccessor.nanosecond](generated/xarray.core.accessor_dt.DatetimeAccessor.nanosecond.html.md): The nanoseconds of the datetime - [xarray.core.accessor_dt.DatetimeAccessor.quarter](generated/xarray.core.accessor_dt.DatetimeAccessor.quarter.html.md): The quarter of the date - [xarray.core.accessor_dt.DatetimeAccessor.round](generated/xarray.core.accessor_dt.DatetimeAccessor.round.html.md): Round timestamps to specified frequency resolution. - [xarray.core.accessor_dt.DatetimeAccessor.season](generated/xarray.core.accessor_dt.DatetimeAccessor.season.html.md): Season of the year - [xarray.core.accessor_dt.DatetimeAccessor.second](generated/xarray.core.accessor_dt.DatetimeAccessor.second.html.md): The seconds of the datetime - [xarray.core.accessor_dt.DatetimeAccessor.strftime](generated/xarray.core.accessor_dt.DatetimeAccessor.strftime.html.md): Return an array of formatted strings specified by date_format, which - [xarray.core.accessor_dt.DatetimeAccessor.time](generated/xarray.core.accessor_dt.DatetimeAccessor.time.html.md): Timestamps corresponding to datetimes - [xarray.core.accessor_dt.DatetimeAccessor.week](generated/xarray.core.accessor_dt.DatetimeAccessor.week.html.md): The week ordinal of the year - [xarray.core.accessor_dt.DatetimeAccessor.weekday](generated/xarray.core.accessor_dt.DatetimeAccessor.weekday.html.md): The day of the week with Monday=0, Sunday=6 - [xarray.core.accessor_dt.DatetimeAccessor.weekofyear](generated/xarray.core.accessor_dt.DatetimeAccessor.weekofyear.html.md): The week ordinal of the year - [xarray.core.accessor_dt.DatetimeAccessor.year](generated/xarray.core.accessor_dt.DatetimeAccessor.year.html.md): The year of the datetime - [xarray.core.accessor_dt.TimedeltaAccessor.ceil](generated/xarray.core.accessor_dt.TimedeltaAccessor.ceil.html.md): Round timestamps upward to specified frequency resolution. - [xarray.core.accessor_dt.TimedeltaAccessor.days](generated/xarray.core.accessor_dt.TimedeltaAccessor.days.html.md): Number of days for each element - [xarray.core.accessor_dt.TimedeltaAccessor.floor](generated/xarray.core.accessor_dt.TimedeltaAccessor.floor.html.md): Round timestamps downward to specified frequency resolution. - [xarray.core.accessor_dt.TimedeltaAccessor](generated/xarray.core.accessor_dt.TimedeltaAccessor.html.md): Access Timedelta fields for DataArrays with Timedelta-like dtypes. - [xarray.core.accessor_dt.TimedeltaAccessor.microseconds](generated/xarray.core.accessor_dt.TimedeltaAccessor.microseconds.html.md): Number of microseconds (>= 0 and less than 1 second) for each element - [xarray.core.accessor_dt.TimedeltaAccessor.nanoseconds](generated/xarray.core.accessor_dt.TimedeltaAccessor.nanoseconds.html.md): Number of nanoseconds (>= 0 and less than 1 microsecond) for each element - [xarray.core.accessor_dt.TimedeltaAccessor.round](generated/xarray.core.accessor_dt.TimedeltaAccessor.round.html.md): Round timestamps to specified frequency resolution. - [xarray.core.accessor_dt.TimedeltaAccessor.seconds](generated/xarray.core.accessor_dt.TimedeltaAccessor.seconds.html.md): Number of seconds (>= 0 and less than 1 day) for each element - [xarray.core.accessor_str.StringAccessor.capitalize](generated/xarray.core.accessor_str.StringAccessor.capitalize.html.md): Convert strings in the array to be capitalized. - [xarray.core.accessor_str.StringAccessor.casefold](generated/xarray.core.accessor_str.StringAccessor.casefold.html.md): Convert strings in the array to be casefolded. - [xarray.core.accessor_str.StringAccessor.cat](generated/xarray.core.accessor_str.StringAccessor.cat.html.md): Concatenate strings elementwise in the DataArray with other strings. - [xarray.core.accessor_str.StringAccessor.center](generated/xarray.core.accessor_str.StringAccessor.center.html.md): Pad left and right side of each string in the array. - [xarray.core.accessor_str.StringAccessor.contains](generated/xarray.core.accessor_str.StringAccessor.contains.html.md): Test if pattern or regex is contained within each string of the array. - [xarray.core.accessor_str.StringAccessor.count](generated/xarray.core.accessor_str.StringAccessor.count.html.md): Count occurrences of pattern in each string of the array. - [xarray.core.accessor_str.StringAccessor.decode](generated/xarray.core.accessor_str.StringAccessor.decode.html.md): Decode character string in the array using indicated encoding. - [xarray.core.accessor_str.StringAccessor.encode](generated/xarray.core.accessor_str.StringAccessor.encode.html.md): Encode character string in the array using indicated encoding. - [xarray.core.accessor_str.StringAccessor.endswith](generated/xarray.core.accessor_str.StringAccessor.endswith.html.md): Test if the end of each string in the array matches a pattern. - [xarray.core.accessor_str.StringAccessor.extract](generated/xarray.core.accessor_str.StringAccessor.extract.html.md): Extract the first match of capture groups in the regex pat as a new - [xarray.core.accessor_str.StringAccessor.extractall](generated/xarray.core.accessor_str.StringAccessor.extractall.html.md): Extract all matches of capture groups in the regex pat as new - [xarray.core.accessor_str.StringAccessor.find](generated/xarray.core.accessor_str.StringAccessor.find.html.md): Return lowest or highest indexes in each strings in the array - [xarray.core.accessor_str.StringAccessor.findall](generated/xarray.core.accessor_str.StringAccessor.findall.html.md): Find all occurrences of pattern or regular expression in the DataArray. - [xarray.core.accessor_str.StringAccessor.format](generated/xarray.core.accessor_str.StringAccessor.format.html.md): Perform python string formatting on each element of the DataArray. - [xarray.core.accessor_str.StringAccessor.get](generated/xarray.core.accessor_str.StringAccessor.get.html.md): Extract character number i from each string in the array. - [xarray.core.accessor_str.StringAccessor.get_dummies](generated/xarray.core.accessor_str.StringAccessor.get_dummies.html.md): Return DataArray of dummy/indicator variables. - [xarray.core.accessor_str.StringAccessor](generated/xarray.core.accessor_str.StringAccessor.html.md): Vectorized string functions for string-like arrays. - [xarray.core.accessor_str.StringAccessor.index](generated/xarray.core.accessor_str.StringAccessor.index.html.md): Return lowest or highest indexes in each strings where the substring is - [xarray.core.accessor_str.StringAccessor.isalnum](generated/xarray.core.accessor_str.StringAccessor.isalnum.html.md): Check whether all characters in each string are alphanumeric. - [xarray.core.accessor_str.StringAccessor.isalpha](generated/xarray.core.accessor_str.StringAccessor.isalpha.html.md): Check whether all characters in each string are alphabetic. - [xarray.core.accessor_str.StringAccessor.isdecimal](generated/xarray.core.accessor_str.StringAccessor.isdecimal.html.md): Check whether all characters in each string are decimal. - [xarray.core.accessor_str.StringAccessor.isdigit](generated/xarray.core.accessor_str.StringAccessor.isdigit.html.md): Check whether all characters in each string are digits. - [xarray.core.accessor_str.StringAccessor.islower](generated/xarray.core.accessor_str.StringAccessor.islower.html.md): Check whether all characters in each string are lowercase. - [xarray.core.accessor_str.StringAccessor.isnumeric](generated/xarray.core.accessor_str.StringAccessor.isnumeric.html.md): Check whether all characters in each string are numeric. - [xarray.core.accessor_str.StringAccessor.isspace](generated/xarray.core.accessor_str.StringAccessor.isspace.html.md): Check whether all characters in each string are spaces. - [xarray.core.accessor_str.StringAccessor.istitle](generated/xarray.core.accessor_str.StringAccessor.istitle.html.md): Check whether all characters in each string are titlecase. - [xarray.core.accessor_str.StringAccessor.isupper](generated/xarray.core.accessor_str.StringAccessor.isupper.html.md): Check whether all characters in each string are uppercase. - [xarray.core.accessor_str.StringAccessor.join](generated/xarray.core.accessor_str.StringAccessor.join.html.md): Concatenate strings in a DataArray along a particular dimension. - [xarray.core.accessor_str.StringAccessor.len](generated/xarray.core.accessor_str.StringAccessor.len.html.md): Compute the length of each string in the array. - [xarray.core.accessor_str.StringAccessor.ljust](generated/xarray.core.accessor_str.StringAccessor.ljust.html.md): Pad right side of each string in the array. - [xarray.core.accessor_str.StringAccessor.lower](generated/xarray.core.accessor_str.StringAccessor.lower.html.md): Convert strings in the array to lowercase. - [xarray.core.accessor_str.StringAccessor.lstrip](generated/xarray.core.accessor_str.StringAccessor.lstrip.html.md): Remove leading characters. - [xarray.core.accessor_str.StringAccessor.match](generated/xarray.core.accessor_str.StringAccessor.match.html.md): Determine if each string in the array matches a regular expression. - [xarray.core.accessor_str.StringAccessor.normalize](generated/xarray.core.accessor_str.StringAccessor.normalize.html.md): Return the Unicode normal form for the strings in the datarray. - [xarray.core.accessor_str.StringAccessor.pad](generated/xarray.core.accessor_str.StringAccessor.pad.html.md): Pad strings in the array up to width. - [xarray.core.accessor_str.StringAccessor.partition](generated/xarray.core.accessor_str.StringAccessor.partition.html.md): Split the strings in the DataArray at the first occurrence of separator sep. - [xarray.core.accessor_str.StringAccessor.repeat](generated/xarray.core.accessor_str.StringAccessor.repeat.html.md): Repeat each string in the array. - [xarray.core.accessor_str.StringAccessor.replace](generated/xarray.core.accessor_str.StringAccessor.replace.html.md): Replace occurrences of pattern/regex in the array with some string. - [xarray.core.accessor_str.StringAccessor.rfind](generated/xarray.core.accessor_str.StringAccessor.rfind.html.md): Return highest indexes in each strings in the array - [xarray.core.accessor_str.StringAccessor.rindex](generated/xarray.core.accessor_str.StringAccessor.rindex.html.md): Return highest indexes in each strings where the substring is - [xarray.core.accessor_str.StringAccessor.rjust](generated/xarray.core.accessor_str.StringAccessor.rjust.html.md): Pad left side of each string in the array. - [xarray.core.accessor_str.StringAccessor.rpartition](generated/xarray.core.accessor_str.StringAccessor.rpartition.html.md): Split the strings in the DataArray at the last occurrence of separator sep. - [xarray.core.accessor_str.StringAccessor.rsplit](generated/xarray.core.accessor_str.StringAccessor.rsplit.html.md): Split strings in a DataArray around the given separator/delimiter sep. - [xarray.core.accessor_str.StringAccessor.rstrip](generated/xarray.core.accessor_str.StringAccessor.rstrip.html.md): Remove trailing characters. - [xarray.core.accessor_str.StringAccessor.slice](generated/xarray.core.accessor_str.StringAccessor.slice.html.md): Slice substrings from each string in the array. - [xarray.core.accessor_str.StringAccessor.slice_replace](generated/xarray.core.accessor_str.StringAccessor.slice_replace.html.md): Replace a positional slice of a string with another value. - [xarray.core.accessor_str.StringAccessor.split](generated/xarray.core.accessor_str.StringAccessor.split.html.md): Split strings in a DataArray around the given separator/delimiter sep. - [xarray.core.accessor_str.StringAccessor.startswith](generated/xarray.core.accessor_str.StringAccessor.startswith.html.md): Test if the start of each string in the array matches a pattern. - [xarray.core.accessor_str.StringAccessor.strip](generated/xarray.core.accessor_str.StringAccessor.strip.html.md): Remove leading and trailing characters. - [xarray.core.accessor_str.StringAccessor.swapcase](generated/xarray.core.accessor_str.StringAccessor.swapcase.html.md): Convert strings in the array to be swapcased. - [xarray.core.accessor_str.StringAccessor.title](generated/xarray.core.accessor_str.StringAccessor.title.html.md): Convert strings in the array to titlecase. - [xarray.core.accessor_str.StringAccessor.translate](generated/xarray.core.accessor_str.StringAccessor.translate.html.md): Map characters of each string through the given mapping table. - [xarray.core.accessor_str.StringAccessor.upper](generated/xarray.core.accessor_str.StringAccessor.upper.html.md): Convert strings in the array to uppercase. - [xarray.core.accessor_str.StringAccessor.wrap](generated/xarray.core.accessor_str.StringAccessor.wrap.html.md): Wrap long strings in the array in paragraphs with length less than width. - [xarray.core.accessor_str.StringAccessor.zfill](generated/xarray.core.accessor_str.StringAccessor.zfill.html.md): Pad each string in the array by prepending ‘0’ characters. - [xarray.core.coordinates.DataArrayCoordinates.assign](generated/xarray.core.coordinates.DataArrayCoordinates.assign.html.md): Assign new coordinates (and indexes) to a Coordinates object, returning - [xarray.core.coordinates.DataArrayCoordinates.copy](generated/xarray.core.coordinates.DataArrayCoordinates.copy.html.md): Return a copy of this Coordinates object. - [xarray.core.coordinates.DataArrayCoordinates.dims](generated/xarray.core.coordinates.DataArrayCoordinates.dims.html.md): Mapping from dimension names to lengths or tuple of dimension names. - [xarray.core.coordinates.DataArrayCoordinates.dtypes](generated/xarray.core.coordinates.DataArrayCoordinates.dtypes.html.md): Mapping from coordinate names to dtypes. - [xarray.core.coordinates.DataArrayCoordinates.equals](generated/xarray.core.coordinates.DataArrayCoordinates.equals.html.md): Two Coordinates objects are equal if they have matching variables, - [xarray.core.coordinates.DataArrayCoordinates.get](generated/xarray.core.coordinates.DataArrayCoordinates.get.html.md): Page content - [xarray.core.coordinates.DataArrayCoordinates](generated/xarray.core.coordinates.DataArrayCoordinates.html.md): Dictionary like container for DataArray coordinates (variables + indexes). - [xarray.core.coordinates.DataArrayCoordinates.identical](generated/xarray.core.coordinates.DataArrayCoordinates.identical.html.md): Like equals, but also checks all variable attributes. - [xarray.core.coordinates.DataArrayCoordinates.indexes](generated/xarray.core.coordinates.DataArrayCoordinates.indexes.html.md): Mapping of pandas.Index objects used for label based indexing. - [xarray.core.coordinates.DataArrayCoordinates.items](generated/xarray.core.coordinates.DataArrayCoordinates.items.html.md): Page content - [xarray.core.coordinates.DataArrayCoordinates.keys](generated/xarray.core.coordinates.DataArrayCoordinates.keys.html.md): Page content - [xarray.core.coordinates.DataArrayCoordinates.merge](generated/xarray.core.coordinates.DataArrayCoordinates.merge.html.md): Merge two sets of coordinates to create a new Dataset - [xarray.core.coordinates.DataArrayCoordinates.sizes](generated/xarray.core.coordinates.DataArrayCoordinates.sizes.html.md): Mapping from dimension names to lengths. - [xarray.core.coordinates.DataArrayCoordinates.to_dataset](generated/xarray.core.coordinates.DataArrayCoordinates.to_dataset.html.md): Convert these coordinates into a new Dataset. - [xarray.core.coordinates.DataArrayCoordinates.to_index](generated/xarray.core.coordinates.DataArrayCoordinates.to_index.html.md): Convert all index coordinates into a [`pandas.Index`](https://pandas.pydata.org/pandas-docs/stable/r... - [xarray.core.coordinates.DataArrayCoordinates.update](generated/xarray.core.coordinates.DataArrayCoordinates.update.html.md): Update this Coordinates variables with other coordinate variables. - [xarray.core.coordinates.DataArrayCoordinates.values](generated/xarray.core.coordinates.DataArrayCoordinates.values.html.md): Page content - [xarray.core.coordinates.DataArrayCoordinates.variables](generated/xarray.core.coordinates.DataArrayCoordinates.variables.html.md): Low level interface to Coordinates contents as dict of Variable objects. - [xarray.core.coordinates.DataArrayCoordinates.xindexes](generated/xarray.core.coordinates.DataArrayCoordinates.xindexes.html.md): Mapping of `Index` objects - [xarray.core.coordinates.DataTreeCoordinates.assign](generated/xarray.core.coordinates.DataTreeCoordinates.assign.html.md): Assign new coordinates (and indexes) to a Coordinates object, returning - [xarray.core.coordinates.DataTreeCoordinates.copy](generated/xarray.core.coordinates.DataTreeCoordinates.copy.html.md): Return a copy of this Coordinates object. - [xarray.core.coordinates.DataTreeCoordinates.dims](generated/xarray.core.coordinates.DataTreeCoordinates.dims.html.md): Mapping from dimension names to lengths or tuple of dimension names. - [xarray.core.coordinates.DataTreeCoordinates.dtypes](generated/xarray.core.coordinates.DataTreeCoordinates.dtypes.html.md): Mapping from coordinate names to dtypes. - [xarray.core.coordinates.DataTreeCoordinates.equals](generated/xarray.core.coordinates.DataTreeCoordinates.equals.html.md): Two Coordinates objects are equal if they have matching variables, - [xarray.core.coordinates.DataTreeCoordinates.get](generated/xarray.core.coordinates.DataTreeCoordinates.get.html.md): Page content - [xarray.core.coordinates.DataTreeCoordinates](generated/xarray.core.coordinates.DataTreeCoordinates.html.md): Dictionary like container for coordinates of a DataTree node (variables + indexes). - [xarray.core.coordinates.DataTreeCoordinates.identical](generated/xarray.core.coordinates.DataTreeCoordinates.identical.html.md): Like equals, but also checks all variable attributes. - [xarray.core.coordinates.DataTreeCoordinates.indexes](generated/xarray.core.coordinates.DataTreeCoordinates.indexes.html.md): Mapping of pandas.Index objects used for label based indexing. - [xarray.core.coordinates.DataTreeCoordinates.items](generated/xarray.core.coordinates.DataTreeCoordinates.items.html.md): Page content - [xarray.core.coordinates.DataTreeCoordinates.keys](generated/xarray.core.coordinates.DataTreeCoordinates.keys.html.md): Page content - [xarray.core.coordinates.DataTreeCoordinates.merge](generated/xarray.core.coordinates.DataTreeCoordinates.merge.html.md): Merge two sets of coordinates to create a new Dataset - [xarray.core.coordinates.DataTreeCoordinates.sizes](generated/xarray.core.coordinates.DataTreeCoordinates.sizes.html.md): Mapping from dimension names to lengths. - [xarray.core.coordinates.DataTreeCoordinates.to_dataset](generated/xarray.core.coordinates.DataTreeCoordinates.to_dataset.html.md): Convert these coordinates into a new Dataset - [xarray.core.coordinates.DataTreeCoordinates.to_index](generated/xarray.core.coordinates.DataTreeCoordinates.to_index.html.md): Convert all index coordinates into a [`pandas.Index`](https://pandas.pydata.org/pandas-docs/stable/r... - [xarray.core.coordinates.DataTreeCoordinates.update](generated/xarray.core.coordinates.DataTreeCoordinates.update.html.md): Update this Coordinates variables with other coordinate variables. - [xarray.core.coordinates.DataTreeCoordinates.values](generated/xarray.core.coordinates.DataTreeCoordinates.values.html.md): Page content - [xarray.core.coordinates.DataTreeCoordinates.variables](generated/xarray.core.coordinates.DataTreeCoordinates.variables.html.md): Low level interface to Coordinates contents as dict of Variable objects. - [xarray.core.coordinates.DataTreeCoordinates.xindexes](generated/xarray.core.coordinates.DataTreeCoordinates.xindexes.html.md): Mapping of `Index` objects - [xarray.core.coordinates.DatasetCoordinates.assign](generated/xarray.core.coordinates.DatasetCoordinates.assign.html.md): Assign new coordinates (and indexes) to a Coordinates object, returning - [xarray.core.coordinates.DatasetCoordinates.copy](generated/xarray.core.coordinates.DatasetCoordinates.copy.html.md): Return a copy of this Coordinates object. - [xarray.core.coordinates.DatasetCoordinates.dims](generated/xarray.core.coordinates.DatasetCoordinates.dims.html.md): Mapping from dimension names to lengths or tuple of dimension names. - [xarray.core.coordinates.DatasetCoordinates.dtypes](generated/xarray.core.coordinates.DatasetCoordinates.dtypes.html.md): Mapping from coordinate names to dtypes. - [xarray.core.coordinates.DatasetCoordinates.equals](generated/xarray.core.coordinates.DatasetCoordinates.equals.html.md): Two Coordinates objects are equal if they have matching variables, - [xarray.core.coordinates.DatasetCoordinates.get](generated/xarray.core.coordinates.DatasetCoordinates.get.html.md): Page content - [xarray.core.coordinates.DatasetCoordinates](generated/xarray.core.coordinates.DatasetCoordinates.html.md): Dictionary like container for Dataset coordinates (variables + indexes). - [xarray.core.coordinates.DatasetCoordinates.identical](generated/xarray.core.coordinates.DatasetCoordinates.identical.html.md): Like equals, but also checks all variable attributes. - [xarray.core.coordinates.DatasetCoordinates.indexes](generated/xarray.core.coordinates.DatasetCoordinates.indexes.html.md): Mapping of pandas.Index objects used for label based indexing. - [xarray.core.coordinates.DatasetCoordinates.items](generated/xarray.core.coordinates.DatasetCoordinates.items.html.md): Page content - [xarray.core.coordinates.DatasetCoordinates.keys](generated/xarray.core.coordinates.DatasetCoordinates.keys.html.md): Page content - [xarray.core.coordinates.DatasetCoordinates.merge](generated/xarray.core.coordinates.DatasetCoordinates.merge.html.md): Merge two sets of coordinates to create a new Dataset - [xarray.core.coordinates.DatasetCoordinates.sizes](generated/xarray.core.coordinates.DatasetCoordinates.sizes.html.md): Mapping from dimension names to lengths. - [xarray.core.coordinates.DatasetCoordinates.to_dataset](generated/xarray.core.coordinates.DatasetCoordinates.to_dataset.html.md): Convert these coordinates into a new Dataset - [xarray.core.coordinates.DatasetCoordinates.to_index](generated/xarray.core.coordinates.DatasetCoordinates.to_index.html.md): Convert all index coordinates into a [`pandas.Index`](https://pandas.pydata.org/pandas-docs/stable/r... - [xarray.core.coordinates.DatasetCoordinates.update](generated/xarray.core.coordinates.DatasetCoordinates.update.html.md): Update this Coordinates variables with other coordinate variables. - [xarray.core.coordinates.DatasetCoordinates.values](generated/xarray.core.coordinates.DatasetCoordinates.values.html.md): Page content - [xarray.core.coordinates.DatasetCoordinates.variables](generated/xarray.core.coordinates.DatasetCoordinates.variables.html.md): Low level interface to Coordinates contents as dict of Variable objects. - [xarray.core.coordinates.DatasetCoordinates.xindexes](generated/xarray.core.coordinates.DatasetCoordinates.xindexes.html.md): Mapping of `Index` objects - [xarray.core.groupby.DataArrayGroupBy.all](generated/xarray.core.groupby.DataArrayGroupBy.all.html.md): Reduce this DataArray’s data by applying `all` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.any](generated/xarray.core.groupby.DataArrayGroupBy.any.html.md): Reduce this DataArray’s data by applying `any` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.apply](generated/xarray.core.groupby.DataArrayGroupBy.apply.html.md): Backward compatible implementation of `map` - [xarray.core.groupby.DataArrayGroupBy.assign_coords](generated/xarray.core.groupby.DataArrayGroupBy.assign_coords.html.md): Assign coordinates by group. - [xarray.core.groupby.DataArrayGroupBy.count](generated/xarray.core.groupby.DataArrayGroupBy.count.html.md): Reduce this DataArray’s data by applying `count` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.cumprod](generated/xarray.core.groupby.DataArrayGroupBy.cumprod.html.md): Reduce this DataArray’s data by applying `cumprod` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.cumsum](generated/xarray.core.groupby.DataArrayGroupBy.cumsum.html.md): Reduce this DataArray’s data by applying `cumsum` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.dims](generated/xarray.core.groupby.DataArrayGroupBy.dims.html.md): Page content - [xarray.core.groupby.DataArrayGroupBy.fillna](generated/xarray.core.groupby.DataArrayGroupBy.fillna.html.md): Fill missing values in this object by group. - [xarray.core.groupby.DataArrayGroupBy.first](generated/xarray.core.groupby.DataArrayGroupBy.first.html.md): Return the first element of each group along the group dimension - [xarray.core.groupby.DataArrayGroupBy.groups](generated/xarray.core.groupby.DataArrayGroupBy.groups.html.md): Mapping from group labels to indices. The indices can be used to index the underlying object. - [xarray.core.groupby.DataArrayGroupBy](generated/xarray.core.groupby.DataArrayGroupBy.html.md): Create a GroupBy object - [xarray.core.groupby.DataArrayGroupBy.last](generated/xarray.core.groupby.DataArrayGroupBy.last.html.md): Return the last element of each group along the group dimension - [xarray.core.groupby.DataArrayGroupBy.map](generated/xarray.core.groupby.DataArrayGroupBy.map.html.md): Apply a function to each array in the group and concatenate them - [xarray.core.groupby.DataArrayGroupBy.max](generated/xarray.core.groupby.DataArrayGroupBy.max.html.md): Reduce this DataArray’s data by applying `max` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.mean](generated/xarray.core.groupby.DataArrayGroupBy.mean.html.md): Reduce this DataArray’s data by applying `mean` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.median](generated/xarray.core.groupby.DataArrayGroupBy.median.html.md): Reduce this DataArray’s data by applying `median` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.min](generated/xarray.core.groupby.DataArrayGroupBy.min.html.md): Reduce this DataArray’s data by applying `min` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.prod](generated/xarray.core.groupby.DataArrayGroupBy.prod.html.md): Reduce this DataArray’s data by applying `prod` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.quantile](generated/xarray.core.groupby.DataArrayGroupBy.quantile.html.md): Compute the qth quantile over each array in the groups and - [xarray.core.groupby.DataArrayGroupBy.reduce](generated/xarray.core.groupby.DataArrayGroupBy.reduce.html.md): Reduce the items in this group by applying func along some - [xarray.core.groupby.DataArrayGroupBy.shuffle_to_chunks](generated/xarray.core.groupby.DataArrayGroupBy.shuffle_to_chunks.html.md): Sort or “shuffle” the underlying object. - [xarray.core.groupby.DataArrayGroupBy.std](generated/xarray.core.groupby.DataArrayGroupBy.std.html.md): Reduce this DataArray’s data by applying `std` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.sum](generated/xarray.core.groupby.DataArrayGroupBy.sum.html.md): Reduce this DataArray’s data by applying `sum` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.var](generated/xarray.core.groupby.DataArrayGroupBy.var.html.md): Reduce this DataArray’s data by applying `var` along some dimension(s). - [xarray.core.groupby.DataArrayGroupBy.where](generated/xarray.core.groupby.DataArrayGroupBy.where.html.md): Return elements from self or other depending on cond. - [xarray.core.groupby.DatasetGroupBy.all](generated/xarray.core.groupby.DatasetGroupBy.all.html.md): Reduce this Dataset’s data by applying `all` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.any](generated/xarray.core.groupby.DatasetGroupBy.any.html.md): Reduce this Dataset’s data by applying `any` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.apply](generated/xarray.core.groupby.DatasetGroupBy.apply.html.md): Backward compatible implementation of `map` - [xarray.core.groupby.DatasetGroupBy.assign](generated/xarray.core.groupby.DatasetGroupBy.assign.html.md): Assign data variables by group. - [xarray.core.groupby.DatasetGroupBy.assign_coords](generated/xarray.core.groupby.DatasetGroupBy.assign_coords.html.md): Assign coordinates by group. - [xarray.core.groupby.DatasetGroupBy.count](generated/xarray.core.groupby.DatasetGroupBy.count.html.md): Reduce this Dataset’s data by applying `count` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.cumprod](generated/xarray.core.groupby.DatasetGroupBy.cumprod.html.md): Reduce this Dataset’s data by applying `cumprod` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.cumsum](generated/xarray.core.groupby.DatasetGroupBy.cumsum.html.md): Reduce this Dataset’s data by applying `cumsum` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.dims](generated/xarray.core.groupby.DatasetGroupBy.dims.html.md): Page content - [xarray.core.groupby.DatasetGroupBy.fillna](generated/xarray.core.groupby.DatasetGroupBy.fillna.html.md): Fill missing values in this object by group. - [xarray.core.groupby.DatasetGroupBy.first](generated/xarray.core.groupby.DatasetGroupBy.first.html.md): Return the first element of each group along the group dimension - [xarray.core.groupby.DatasetGroupBy.groups](generated/xarray.core.groupby.DatasetGroupBy.groups.html.md): Mapping from group labels to indices. The indices can be used to index the underlying object. - [xarray.core.groupby.DatasetGroupBy](generated/xarray.core.groupby.DatasetGroupBy.html.md): Create a GroupBy object - [xarray.core.groupby.DatasetGroupBy.last](generated/xarray.core.groupby.DatasetGroupBy.last.html.md): Return the last element of each group along the group dimension - [xarray.core.groupby.DatasetGroupBy.map](generated/xarray.core.groupby.DatasetGroupBy.map.html.md): Apply a function to each Dataset in the group and concatenate them - [xarray.core.groupby.DatasetGroupBy.max](generated/xarray.core.groupby.DatasetGroupBy.max.html.md): Reduce this Dataset’s data by applying `max` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.mean](generated/xarray.core.groupby.DatasetGroupBy.mean.html.md): Reduce this Dataset’s data by applying `mean` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.median](generated/xarray.core.groupby.DatasetGroupBy.median.html.md): Reduce this Dataset’s data by applying `median` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.min](generated/xarray.core.groupby.DatasetGroupBy.min.html.md): Reduce this Dataset’s data by applying `min` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.prod](generated/xarray.core.groupby.DatasetGroupBy.prod.html.md): Reduce this Dataset’s data by applying `prod` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.quantile](generated/xarray.core.groupby.DatasetGroupBy.quantile.html.md): Compute the qth quantile over each array in the groups and - [xarray.core.groupby.DatasetGroupBy.reduce](generated/xarray.core.groupby.DatasetGroupBy.reduce.html.md): Reduce the items in this group by applying func along some - [xarray.core.groupby.DatasetGroupBy.shuffle_to_chunks](generated/xarray.core.groupby.DatasetGroupBy.shuffle_to_chunks.html.md): Sort or “shuffle” the underlying object. - [xarray.core.groupby.DatasetGroupBy.std](generated/xarray.core.groupby.DatasetGroupBy.std.html.md): Reduce this Dataset’s data by applying `std` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.sum](generated/xarray.core.groupby.DatasetGroupBy.sum.html.md): Reduce this Dataset’s data by applying `sum` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.var](generated/xarray.core.groupby.DatasetGroupBy.var.html.md): Reduce this Dataset’s data by applying `var` along some dimension(s). - [xarray.core.groupby.DatasetGroupBy.where](generated/xarray.core.groupby.DatasetGroupBy.where.html.md): Return elements from self or other depending on cond. - [xarray.core.indexing.BasicIndexer](generated/xarray.core.indexing.BasicIndexer.html.md): Tuple for basic indexing. - [xarray.core.indexing.IndexingSupport](generated/xarray.core.indexing.IndexingSupport.html.md): | `BASIC` | | - [xarray.core.indexing.LazilyIndexedArray](generated/xarray.core.indexing.LazilyIndexedArray.html.md): Wrap an array to make basic and outer indexing lazy. - [xarray.core.indexing.LazilyVectorizedIndexedArray](generated/xarray.core.indexing.LazilyVectorizedIndexedArray.html.md): Wrap an array to make vectorized indexing lazy. - [xarray.core.indexing.OuterIndexer](generated/xarray.core.indexing.OuterIndexer.html.md): Tuple for outer/orthogonal indexing. - [xarray.core.indexing.VectorizedIndexer](generated/xarray.core.indexing.VectorizedIndexer.html.md): Tuple for vectorized indexing. - [xarray.core.indexing.explicit_indexing_adapter](generated/xarray.core.indexing.explicit_indexing_adapter.html.md): Support explicit indexing by delegating to a raw indexing method. - [xarray.core.resample.DataArrayResample.all](generated/xarray.core.resample.DataArrayResample.all.html.md): Reduce this DataArray’s data by applying `all` along some dimension(s). - [xarray.core.resample.DataArrayResample.any](generated/xarray.core.resample.DataArrayResample.any.html.md): Reduce this DataArray’s data by applying `any` along some dimension(s). - [xarray.core.resample.DataArrayResample.apply](generated/xarray.core.resample.DataArrayResample.apply.html.md): Backward compatible implementation of `map` - [xarray.core.resample.DataArrayResample.asfreq](generated/xarray.core.resample.DataArrayResample.asfreq.html.md): Return values of original object at the new up-sampling frequency; - [xarray.core.resample.DataArrayResample.assign_coords](generated/xarray.core.resample.DataArrayResample.assign_coords.html.md): Assign coordinates by group. - [xarray.core.resample.DataArrayResample.backfill](generated/xarray.core.resample.DataArrayResample.backfill.html.md): Backward fill new values at up-sampled frequency. - [xarray.core.resample.DataArrayResample.bfill](generated/xarray.core.resample.DataArrayResample.bfill.html.md): Backward fill new values at up-sampled frequency. - [xarray.core.resample.DataArrayResample.count](generated/xarray.core.resample.DataArrayResample.count.html.md): Reduce this DataArray’s data by applying `count` along some dimension(s). - [xarray.core.resample.DataArrayResample.dims](generated/xarray.core.resample.DataArrayResample.dims.html.md): Page content - [xarray.core.resample.DataArrayResample.ffill](generated/xarray.core.resample.DataArrayResample.ffill.html.md): Forward fill new values at up-sampled frequency. - [xarray.core.resample.DataArrayResample.fillna](generated/xarray.core.resample.DataArrayResample.fillna.html.md): Fill missing values in this object by group. - [xarray.core.resample.DataArrayResample.first](generated/xarray.core.resample.DataArrayResample.first.html.md): Return the first element of each group along the group dimension - [xarray.core.resample.DataArrayResample.groups](generated/xarray.core.resample.DataArrayResample.groups.html.md): Mapping from group labels to indices. The indices can be used to index the underlying object. - [xarray.core.resample.DataArrayResample](generated/xarray.core.resample.DataArrayResample.html.md): DataArrayGroupBy object specialized to time resampling operations over a - [xarray.core.resample.DataArrayResample.interpolate](generated/xarray.core.resample.DataArrayResample.interpolate.html.md): Interpolate up-sampled data using the original data as knots. - [xarray.core.resample.DataArrayResample.last](generated/xarray.core.resample.DataArrayResample.last.html.md): Return the last element of each group along the group dimension - [xarray.core.resample.DataArrayResample.map](generated/xarray.core.resample.DataArrayResample.map.html.md): Apply a function to each array in the group and concatenate them - [xarray.core.resample.DataArrayResample.max](generated/xarray.core.resample.DataArrayResample.max.html.md): Reduce this DataArray’s data by applying `max` along some dimension(s). - [xarray.core.resample.DataArrayResample.mean](generated/xarray.core.resample.DataArrayResample.mean.html.md): Reduce this DataArray’s data by applying `mean` along some dimension(s). - [xarray.core.resample.DataArrayResample.median](generated/xarray.core.resample.DataArrayResample.median.html.md): Reduce this DataArray’s data by applying `median` along some dimension(s). - [xarray.core.resample.DataArrayResample.min](generated/xarray.core.resample.DataArrayResample.min.html.md): Reduce this DataArray’s data by applying `min` along some dimension(s). - [xarray.core.resample.DataArrayResample.nearest](generated/xarray.core.resample.DataArrayResample.nearest.html.md): Take new values from nearest original coordinate to up-sampled - [xarray.core.resample.DataArrayResample.pad](generated/xarray.core.resample.DataArrayResample.pad.html.md): Forward fill new values at up-sampled frequency. - [xarray.core.resample.DataArrayResample.prod](generated/xarray.core.resample.DataArrayResample.prod.html.md): Reduce this DataArray’s data by applying `prod` along some dimension(s). - [xarray.core.resample.DataArrayResample.quantile](generated/xarray.core.resample.DataArrayResample.quantile.html.md): Compute the qth quantile over each array in the groups and - [xarray.core.resample.DataArrayResample.reduce](generated/xarray.core.resample.DataArrayResample.reduce.html.md): Reduce the items in this group by applying func along the - [xarray.core.resample.DataArrayResample.std](generated/xarray.core.resample.DataArrayResample.std.html.md): Reduce this DataArray’s data by applying `std` along some dimension(s). - [xarray.core.resample.DataArrayResample.sum](generated/xarray.core.resample.DataArrayResample.sum.html.md): Reduce this DataArray’s data by applying `sum` along some dimension(s). - [xarray.core.resample.DataArrayResample.var](generated/xarray.core.resample.DataArrayResample.var.html.md): Reduce this DataArray’s data by applying `var` along some dimension(s). - [xarray.core.resample.DataArrayResample.where](generated/xarray.core.resample.DataArrayResample.where.html.md): Return elements from self or other depending on cond. - [xarray.core.resample.DatasetResample.all](generated/xarray.core.resample.DatasetResample.all.html.md): Reduce this Dataset’s data by applying `all` along some dimension(s). - [xarray.core.resample.DatasetResample.any](generated/xarray.core.resample.DatasetResample.any.html.md): Reduce this Dataset’s data by applying `any` along some dimension(s). - [xarray.core.resample.DatasetResample.apply](generated/xarray.core.resample.DatasetResample.apply.html.md): Backward compatible implementation of `map` - [xarray.core.resample.DatasetResample.asfreq](generated/xarray.core.resample.DatasetResample.asfreq.html.md): Return values of original object at the new up-sampling frequency; - [xarray.core.resample.DatasetResample.assign](generated/xarray.core.resample.DatasetResample.assign.html.md): Assign data variables by group. - [xarray.core.resample.DatasetResample.assign_coords](generated/xarray.core.resample.DatasetResample.assign_coords.html.md): Assign coordinates by group. - [xarray.core.resample.DatasetResample.backfill](generated/xarray.core.resample.DatasetResample.backfill.html.md): Backward fill new values at up-sampled frequency. - [xarray.core.resample.DatasetResample.bfill](generated/xarray.core.resample.DatasetResample.bfill.html.md): Backward fill new values at up-sampled frequency. - [xarray.core.resample.DatasetResample.count](generated/xarray.core.resample.DatasetResample.count.html.md): Reduce this Dataset’s data by applying `count` along some dimension(s). - [xarray.core.resample.DatasetResample.dims](generated/xarray.core.resample.DatasetResample.dims.html.md): Page content - [xarray.core.resample.DatasetResample.ffill](generated/xarray.core.resample.DatasetResample.ffill.html.md): Forward fill new values at up-sampled frequency. - [xarray.core.resample.DatasetResample.fillna](generated/xarray.core.resample.DatasetResample.fillna.html.md): Fill missing values in this object by group. - [xarray.core.resample.DatasetResample.first](generated/xarray.core.resample.DatasetResample.first.html.md): Return the first element of each group along the group dimension - [xarray.core.resample.DatasetResample.groups](generated/xarray.core.resample.DatasetResample.groups.html.md): Mapping from group labels to indices. The indices can be used to index the underlying object. - [xarray.core.resample.DatasetResample](generated/xarray.core.resample.DatasetResample.html.md): DatasetGroupBy object specialized to resampling a specified dimension - [xarray.core.resample.DatasetResample.interpolate](generated/xarray.core.resample.DatasetResample.interpolate.html.md): Interpolate up-sampled data using the original data as knots. - [xarray.core.resample.DatasetResample.last](generated/xarray.core.resample.DatasetResample.last.html.md): Return the last element of each group along the group dimension - [xarray.core.resample.DatasetResample.map](generated/xarray.core.resample.DatasetResample.map.html.md): Apply a function over each Dataset in the groups generated for - [xarray.core.resample.DatasetResample.max](generated/xarray.core.resample.DatasetResample.max.html.md): Reduce this Dataset’s data by applying `max` along some dimension(s). - [xarray.core.resample.DatasetResample.mean](generated/xarray.core.resample.DatasetResample.mean.html.md): Reduce this Dataset’s data by applying `mean` along some dimension(s). - [xarray.core.resample.DatasetResample.median](generated/xarray.core.resample.DatasetResample.median.html.md): Reduce this Dataset’s data by applying `median` along some dimension(s). - [xarray.core.resample.DatasetResample.min](generated/xarray.core.resample.DatasetResample.min.html.md): Reduce this Dataset’s data by applying `min` along some dimension(s). - [xarray.core.resample.DatasetResample.nearest](generated/xarray.core.resample.DatasetResample.nearest.html.md): Take new values from nearest original coordinate to up-sampled - [xarray.core.resample.DatasetResample.pad](generated/xarray.core.resample.DatasetResample.pad.html.md): Forward fill new values at up-sampled frequency. - [xarray.core.resample.DatasetResample.prod](generated/xarray.core.resample.DatasetResample.prod.html.md): Reduce this Dataset’s data by applying `prod` along some dimension(s). - [xarray.core.resample.DatasetResample.quantile](generated/xarray.core.resample.DatasetResample.quantile.html.md): Compute the qth quantile over each array in the groups and - [xarray.core.resample.DatasetResample.reduce](generated/xarray.core.resample.DatasetResample.reduce.html.md): Reduce the items in this group by applying func along the - [xarray.core.resample.DatasetResample.std](generated/xarray.core.resample.DatasetResample.std.html.md): Reduce this Dataset’s data by applying `std` along some dimension(s). - [xarray.core.resample.DatasetResample.sum](generated/xarray.core.resample.DatasetResample.sum.html.md): Reduce this Dataset’s data by applying `sum` along some dimension(s). - [xarray.core.resample.DatasetResample.var](generated/xarray.core.resample.DatasetResample.var.html.md): Reduce this Dataset’s data by applying `var` along some dimension(s). - [xarray.core.resample.DatasetResample.where](generated/xarray.core.resample.DatasetResample.where.html.md): Return elements from self or other depending on cond. - [xarray.corr](generated/xarray.corr.html.md): Compute the Pearson correlation coefficient between - [xarray.cov](generated/xarray.cov.html.md): Compute covariance between two DataArray objects along a shared dimension. - [xarray.cross](generated/xarray.cross.html.md): Compute the cross product of two (arrays of) vectors. - [xarray.date_range](generated/xarray.date_range.html.md): Return a fixed frequency datetime index. - [xarray.date_range_like](generated/xarray.date_range_like.html.md): Generate a datetime array with the same frequency, start and end as - [xarray.decode_cf](generated/xarray.decode_cf.html.md): Decode the given Dataset or Datastore according to CF conventions into - [xarray.dot](generated/xarray.dot.html.md): Generalized dot product for xarray objects. Like `np.einsum`, but - [xarray.full_like](generated/xarray.full_like.html.md): Return a new object with the same shape and type as a given object. - [xarray.get_options](generated/xarray.get_options.html.md): Get options for xarray. - [xarray.group_subtrees](generated/xarray.group_subtrees.html.md): Iterate over subtrees grouped by relative paths in breadth-first order. - [xarray.groupers.BinGrouper](generated/xarray.groupers.BinGrouper.html.md): Grouper object for binning numeric data. - [xarray.groupers.EncodedGroups](generated/xarray.groupers.EncodedGroups.html.md): Dataclass for storing intermediate values for GroupBy operation. - [xarray.groupers.Grouper](generated/xarray.groupers.Grouper.html.md): Abstract base class for Grouper objects that allow specializing GroupBy instructions. - [xarray.groupers.Resampler](generated/xarray.groupers.Resampler.html.md): Abstract base class for Grouper objects that allow specializing resampling-type GroupBy instructions... - [xarray.groupers.SeasonGrouper](generated/xarray.groupers.SeasonGrouper.html.md): Allows grouping using a custom definition of seasons. - [xarray.groupers.SeasonResampler.compute_chunks](generated/xarray.groupers.SeasonResampler.compute_chunks.html.md): Compute chunk sizes for this season resampler. - [xarray.groupers.SeasonResampler](generated/xarray.groupers.SeasonResampler.html.md): Allows grouping using a custom definition of seasons. - [xarray.groupers.TimeResampler.compute_chunks](generated/xarray.groupers.TimeResampler.compute_chunks.html.md): Compute chunk sizes for this time resampler. - [xarray.groupers.TimeResampler](generated/xarray.groupers.TimeResampler.html.md): Grouper object specialized to resampling the time coordinate. - [xarray.groupers.UniqueGrouper](generated/xarray.groupers.UniqueGrouper.html.md): Grouper object for grouping by a categorical variable. - [xarray.indexes.CoordinateTransform](generated/xarray.indexes.CoordinateTransform.html.md): Abstract coordinate transform with dimension & coordinate names. - [xarray.indexes.CoordinateTransformIndex](generated/xarray.indexes.CoordinateTransformIndex.html.md): Helper class for creating Xarray indexes based on coordinate transforms. - [xarray.indexes.NDPointIndex](generated/xarray.indexes.NDPointIndex.html.md): Xarray index for irregular, n-dimensional data. - [xarray.indexes.PandasIndex](generated/xarray.indexes.PandasIndex.html.md): Wrap a pandas.Index as an xarray compatible index. - [xarray.indexes.PandasMultiIndex](generated/xarray.indexes.PandasMultiIndex.html.md): Wrap a pandas.MultiIndex as an xarray compatible index. - [xarray.indexes.RangeIndex.arange](generated/xarray.indexes.RangeIndex.arange.html.md): Create a new RangeIndex from given start, stop and step values. - [xarray.indexes.RangeIndex](generated/xarray.indexes.RangeIndex.html.md): Xarray index implementing a simple bounded 1-dimension interval with - [xarray.indexes.RangeIndex.linspace](generated/xarray.indexes.RangeIndex.linspace.html.md): Create a new RangeIndex from given start / stop values and number of - [xarray.indexes.RangeIndex.start](generated/xarray.indexes.RangeIndex.start.html.md): Returns the start of the interval (the interval includes this value). - [xarray.indexes.RangeIndex.step](generated/xarray.indexes.RangeIndex.step.html.md): Returns the spacing between values. - [xarray.indexes.RangeIndex.stop](generated/xarray.indexes.RangeIndex.stop.html.md): Returns the end of the interval (the interval does not include this value). - [xarray.indexes.TreeAdapter](generated/xarray.indexes.TreeAdapter.html.md): Lightweight adapter abstract class for plugging in 3rd-party structures - [xarray.infer_freq](generated/xarray.infer_freq.html.md): Infer the most likely frequency given the input index. - [xarray.load_dataarray](generated/xarray.load_dataarray.html.md): Open, load into memory, and close a DataArray from a file or file-like - [xarray.load_dataset](generated/xarray.load_dataset.html.md): Open, load into memory, and close a Dataset from a file or file-like - [xarray.load_datatree](generated/xarray.load_datatree.html.md): Open, load into memory, and close a DataTree from a file or file-like - [xarray.map_blocks](generated/xarray.map_blocks.html.md): Apply a function to each block of a DataArray or Dataset. - [xarray.map_over_datasets](generated/xarray.map_over_datasets.html.md): Applies a function to every dataset in one or more DataTree objects with - [xarray.merge](generated/xarray.merge.html.md): Merge any number of xarray objects into a single Dataset as variables. - [xarray.ones_like](generated/xarray.ones_like.html.md): Return a new object of ones with the same shape and - [xarray.open_dataarray](generated/xarray.open_dataarray.html.md): Open a DataArray from a file or file-like object containing a single - [xarray.open_dataset](generated/xarray.open_dataset.html.md): Open and decode a dataset from a file or file-like object. - [xarray.open_datatree](generated/xarray.open_datatree.html.md): Open and decode a DataTree from a file or file-like object, creating one tree node for each group in... - [xarray.open_groups](generated/xarray.open_groups.html.md): Open and decode a file or file-like object, creating a dictionary containing one xarray Dataset for ... - [xarray.open_mfdataset](generated/xarray.open_mfdataset.html.md): Open multiple files as a single dataset. - [xarray.open_zarr](generated/xarray.open_zarr.html.md): Load and decode a dataset from a Zarr store. - [xarray.plot.FacetGrid.add_colorbar](generated/xarray.plot.FacetGrid.add_colorbar.html.md): Draw a colorbar. - [xarray.plot.FacetGrid.add_legend](generated/xarray.plot.FacetGrid.add_legend.html.md): Page content - [xarray.plot.FacetGrid.add_quiverkey](generated/xarray.plot.FacetGrid.add_quiverkey.html.md): Page content - [xarray.plot.FacetGrid](generated/xarray.plot.FacetGrid.html.md): Initialize the Matplotlib figure and FacetGrid object. - [xarray.plot.FacetGrid.map](generated/xarray.plot.FacetGrid.map.html.md): Apply a plotting function to each facet’s subset of the data. - [xarray.plot.FacetGrid.map_dataarray](generated/xarray.plot.FacetGrid.map_dataarray.html.md): Apply a plotting function to a 2d facet’s subset of the data. - [xarray.plot.FacetGrid.map_dataarray_line](generated/xarray.plot.FacetGrid.map_dataarray_line.html.md): Page content - [xarray.plot.FacetGrid.map_dataset](generated/xarray.plot.FacetGrid.map_dataset.html.md): Page content - [xarray.plot.FacetGrid.map_plot1d](generated/xarray.plot.FacetGrid.map_plot1d.html.md): Apply a plotting function to a 1d facet’s subset of the data. - [xarray.plot.FacetGrid.set_axis_labels](generated/xarray.plot.FacetGrid.set_axis_labels.html.md): Set axis labels on the left column and bottom row of the grid. - [xarray.plot.FacetGrid.set_ticks](generated/xarray.plot.FacetGrid.set_ticks.html.md): Set and control tick behavior. - [xarray.plot.FacetGrid.set_titles](generated/xarray.plot.FacetGrid.set_titles.html.md): Draw titles either above each facet or on the grid margins. - [xarray.plot.FacetGrid.set_xlabels](generated/xarray.plot.FacetGrid.set_xlabels.html.md): Label the x axis on the bottom row of the grid. - [xarray.plot.FacetGrid.set_ylabels](generated/xarray.plot.FacetGrid.set_ylabels.html.md): Label the y axis on the left column of the grid. - [xarray.plot.contour](generated/xarray.plot.contour.html.md): Contour plot of 2D DataArray. - [xarray.plot.contourf](generated/xarray.plot.contourf.html.md): Filled contour plot of 2D DataArray. - [xarray.plot.hist](generated/xarray.plot.hist.html.md): Histogram of DataArray. - [xarray.plot.imshow](generated/xarray.plot.imshow.html.md): Image plot of 2D DataArray. - [xarray.plot.line](generated/xarray.plot.line.html.md): Line plot of DataArray values. - [xarray.plot.pcolormesh](generated/xarray.plot.pcolormesh.html.md): Pseudocolor plot of 2D DataArray. - [xarray.plot.plot](generated/xarray.plot.plot.html.md): Default plot of DataArray using [`matplotlib.pyplot`](https://matplotlib.org/stable/api/pyplot_summa... - [xarray.plot.scatter](generated/xarray.plot.scatter.html.md): Scatter variables against each other. - [xarray.plot.step](generated/xarray.plot.step.html.md): Step plot of DataArray values. - [xarray.plot.surface](generated/xarray.plot.surface.html.md): Surface plot of 2D DataArray. - [xarray.polyval](generated/xarray.polyval.html.md): Evaluate a polynomial at specific values - [xarray.register_dataarray_accessor](generated/xarray.register_dataarray_accessor.html.md): Register a custom accessor on xarray.DataArray objects. - [xarray.register_dataset_accessor](generated/xarray.register_dataset_accessor.html.md): Register a custom property on xarray.Dataset objects. - [xarray.register_datatree_accessor](generated/xarray.register_datatree_accessor.html.md): Register a custom accessor on DataTree objects. - [xarray.save_mfdataset](generated/xarray.save_mfdataset.html.md): Write multiple datasets to disk as netCDF files simultaneously. - [xarray.set_options](generated/xarray.set_options.html.md): Set options for xarray in a controlled context. - [xarray.show_versions](generated/xarray.show_versions.html.md): print the versions of xarray and its dependencies - [xarray.testing.assert_allclose](generated/xarray.testing.assert_allclose.html.md): Like [`numpy.testing.assert_allclose()`](https://numpy.org/doc/stable/reference/generated/numpy.test... - [xarray.testing.assert_chunks_equal](generated/xarray.testing.assert_chunks_equal.html.md): Assert that chunksizes along chunked dimensions are equal. - [xarray.testing.assert_equal](generated/xarray.testing.assert_equal.html.md): Like [`numpy.testing.assert_array_equal()`](https://numpy.org/doc/stable/reference/generated/numpy.t... - [xarray.testing.assert_identical](generated/xarray.testing.assert_identical.html.md): Like [`xarray.testing.assert_equal()`](xarray.testing.assert_equal.md#xarray.testing.assert_equal), ... - [xarray.testing.assert_isomorphic](generated/xarray.testing.assert_isomorphic.html.md): Two DataTrees are considered isomorphic if the set of paths to their - [xarray.testing.strategies.attrs](generated/xarray.testing.strategies.attrs.html.md): Generates arbitrary valid attributes dictionaries for xarray objects. - [xarray.testing.strategies.dimension_names](generated/xarray.testing.strategies.dimension_names.html.md): Generates an arbitrary list of valid dimension names. - [xarray.testing.strategies.dimension_sizes](generated/xarray.testing.strategies.dimension_sizes.html.md): Generates an arbitrary mapping from dimension names to lengths. - [xarray.testing.strategies.names](generated/xarray.testing.strategies.names.html.md): Generates arbitrary string names for dimensions / variables. - [xarray.testing.strategies.supported_dtypes](generated/xarray.testing.strategies.supported_dtypes.html.md): Generates only those numpy dtypes which xarray can handle. - [xarray.testing.strategies.unique_subset_of](generated/xarray.testing.strategies.unique_subset_of.html.md): Return a strategy which generates a unique subset of the given objects. - [xarray.testing.strategies.variables](generated/xarray.testing.strategies.variables.html.md): Generates arbitrary xarray.Variable objects. - [xarray.tutorial.load_dataset](generated/xarray.tutorial.load_dataset.html.md): Open, load into memory, and close a dataset from the online repository - [xarray.tutorial.load_datatree](generated/xarray.tutorial.load_datatree.html.md): Open, load into memory (as a DataTree), and close a dataset from the online repository - [xarray.tutorial.open_dataset](generated/xarray.tutorial.open_dataset.html.md): Open a dataset from the online repository (requires internet). - [xarray.tutorial.open_datatree](generated/xarray.tutorial.open_datatree.html.md): Open a dataset as a DataTree from the online repository (requires internet). - [xarray.ufuncs.abs](generated/xarray.ufuncs.abs.html.md): xarray specific variant of `numpy.abs()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.absolute](generated/xarray.ufuncs.absolute.html.md): xarray specific variant of `numpy.absolute()`. Handles xarray objects by dispatching to the appropri... - [xarray.ufuncs.acos](generated/xarray.ufuncs.acos.html.md): xarray specific variant of `numpy.acos()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.acosh](generated/xarray.ufuncs.acosh.html.md): xarray specific variant of `numpy.acosh()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.add](generated/xarray.ufuncs.add.html.md): xarray specific variant of `numpy.add()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.angle](generated/xarray.ufuncs.angle.html.md): xarray specific variant of [`numpy.angle()`](https://numpy.org/doc/stable/reference/generated/numpy.... - [xarray.ufuncs.arccos](generated/xarray.ufuncs.arccos.html.md): xarray specific variant of `numpy.arccos()`. Handles xarray objects by dispatching to the appropriat... - [xarray.ufuncs.arccosh](generated/xarray.ufuncs.arccosh.html.md): xarray specific variant of `numpy.arccosh()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.arcsin](generated/xarray.ufuncs.arcsin.html.md): xarray specific variant of `numpy.arcsin()`. Handles xarray objects by dispatching to the appropriat... - [xarray.ufuncs.arcsinh](generated/xarray.ufuncs.arcsinh.html.md): xarray specific variant of `numpy.arcsinh()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.arctan](generated/xarray.ufuncs.arctan.html.md): xarray specific variant of `numpy.arctan()`. Handles xarray objects by dispatching to the appropriat... - [xarray.ufuncs.arctan2](generated/xarray.ufuncs.arctan2.html.md): xarray specific variant of `numpy.arctan2()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.arctanh](generated/xarray.ufuncs.arctanh.html.md): xarray specific variant of `numpy.arctanh()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.asin](generated/xarray.ufuncs.asin.html.md): xarray specific variant of `numpy.asin()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.asinh](generated/xarray.ufuncs.asinh.html.md): xarray specific variant of `numpy.asinh()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.atan](generated/xarray.ufuncs.atan.html.md): xarray specific variant of `numpy.atan()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.atan2](generated/xarray.ufuncs.atan2.html.md): xarray specific variant of `numpy.atan2()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.atanh](generated/xarray.ufuncs.atanh.html.md): xarray specific variant of `numpy.atanh()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.bitwise_and](generated/xarray.ufuncs.bitwise_and.html.md): xarray specific variant of `numpy.bitwise_and()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.bitwise_count](generated/xarray.ufuncs.bitwise_count.html.md): xarray specific variant of `numpy.bitwise_count()`. Handles xarray objects by dispatching to the app... - [xarray.ufuncs.bitwise_invert](generated/xarray.ufuncs.bitwise_invert.html.md): xarray specific variant of `numpy.bitwise_invert()`. Handles xarray objects by dispatching to the ap... - [xarray.ufuncs.bitwise_left_shift](generated/xarray.ufuncs.bitwise_left_shift.html.md): xarray specific variant of `numpy.bitwise_left_shift()`. Handles xarray objects by dispatching to th... - [xarray.ufuncs.bitwise_not](generated/xarray.ufuncs.bitwise_not.html.md): xarray specific variant of `numpy.bitwise_not()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.bitwise_or](generated/xarray.ufuncs.bitwise_or.html.md): xarray specific variant of `numpy.bitwise_or()`. Handles xarray objects by dispatching to the approp... - [xarray.ufuncs.bitwise_right_shift](generated/xarray.ufuncs.bitwise_right_shift.html.md): xarray specific variant of `numpy.bitwise_right_shift()`. Handles xarray objects by dispatching to t... - [xarray.ufuncs.bitwise_xor](generated/xarray.ufuncs.bitwise_xor.html.md): xarray specific variant of `numpy.bitwise_xor()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.cbrt](generated/xarray.ufuncs.cbrt.html.md): xarray specific variant of `numpy.cbrt()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.ceil](generated/xarray.ufuncs.ceil.html.md): xarray specific variant of `numpy.ceil()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.conj](generated/xarray.ufuncs.conj.html.md): xarray specific variant of `numpy.conj()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.conjugate](generated/xarray.ufuncs.conjugate.html.md): xarray specific variant of `numpy.conjugate()`. Handles xarray objects by dispatching to the appropr... - [xarray.ufuncs.copysign](generated/xarray.ufuncs.copysign.html.md): xarray specific variant of `numpy.copysign()`. Handles xarray objects by dispatching to the appropri... - [xarray.ufuncs.cos](generated/xarray.ufuncs.cos.html.md): xarray specific variant of `numpy.cos()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.cosh](generated/xarray.ufuncs.cosh.html.md): xarray specific variant of `numpy.cosh()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.deg2rad](generated/xarray.ufuncs.deg2rad.html.md): xarray specific variant of `numpy.deg2rad()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.degrees](generated/xarray.ufuncs.degrees.html.md): xarray specific variant of `numpy.degrees()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.divide](generated/xarray.ufuncs.divide.html.md): xarray specific variant of `numpy.divide()`. Handles xarray objects by dispatching to the appropriat... - [xarray.ufuncs.equal](generated/xarray.ufuncs.equal.html.md): xarray specific variant of `numpy.equal()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.exp](generated/xarray.ufuncs.exp.html.md): xarray specific variant of `numpy.exp()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.exp2](generated/xarray.ufuncs.exp2.html.md): xarray specific variant of `numpy.exp2()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.expm1](generated/xarray.ufuncs.expm1.html.md): xarray specific variant of `numpy.expm1()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.fabs](generated/xarray.ufuncs.fabs.html.md): xarray specific variant of `numpy.fabs()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.float_power](generated/xarray.ufuncs.float_power.html.md): xarray specific variant of `numpy.float_power()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.floor](generated/xarray.ufuncs.floor.html.md): xarray specific variant of `numpy.floor()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.floor_divide](generated/xarray.ufuncs.floor_divide.html.md): xarray specific variant of `numpy.floor_divide()`. Handles xarray objects by dispatching to the appr... - [xarray.ufuncs.fmax](generated/xarray.ufuncs.fmax.html.md): xarray specific variant of `numpy.fmax()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.fmin](generated/xarray.ufuncs.fmin.html.md): xarray specific variant of `numpy.fmin()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.fmod](generated/xarray.ufuncs.fmod.html.md): xarray specific variant of `numpy.fmod()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.gcd](generated/xarray.ufuncs.gcd.html.md): xarray specific variant of `numpy.gcd()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.greater](generated/xarray.ufuncs.greater.html.md): xarray specific variant of `numpy.greater()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.greater_equal](generated/xarray.ufuncs.greater_equal.html.md): xarray specific variant of `numpy.greater_equal()`. Handles xarray objects by dispatching to the app... - [xarray.ufuncs.heaviside](generated/xarray.ufuncs.heaviside.html.md): xarray specific variant of `numpy.heaviside()`. Handles xarray objects by dispatching to the appropr... - [xarray.ufuncs.hypot](generated/xarray.ufuncs.hypot.html.md): xarray specific variant of `numpy.hypot()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.invert](generated/xarray.ufuncs.invert.html.md): xarray specific variant of `numpy.invert()`. Handles xarray objects by dispatching to the appropriat... - [xarray.ufuncs.iscomplex](generated/xarray.ufuncs.iscomplex.html.md): xarray specific variant of [`numpy.iscomplex()`](https://numpy.org/doc/stable/reference/generated/nu... - [xarray.ufuncs.isfinite](generated/xarray.ufuncs.isfinite.html.md): xarray specific variant of `numpy.isfinite()`. Handles xarray objects by dispatching to the appropri... - [xarray.ufuncs.isinf](generated/xarray.ufuncs.isinf.html.md): xarray specific variant of `numpy.isinf()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.isnan](generated/xarray.ufuncs.isnan.html.md): xarray specific variant of `numpy.isnan()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.isnat](generated/xarray.ufuncs.isnat.html.md): xarray specific variant of `numpy.isnat()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.isreal](generated/xarray.ufuncs.isreal.html.md): xarray specific variant of [`numpy.isreal()`](https://numpy.org/doc/stable/reference/generated/numpy... - [xarray.ufuncs.lcm](generated/xarray.ufuncs.lcm.html.md): xarray specific variant of `numpy.lcm()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.ldexp](generated/xarray.ufuncs.ldexp.html.md): xarray specific variant of `numpy.ldexp()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.left_shift](generated/xarray.ufuncs.left_shift.html.md): xarray specific variant of `numpy.left_shift()`. Handles xarray objects by dispatching to the approp... - [xarray.ufuncs.less](generated/xarray.ufuncs.less.html.md): xarray specific variant of `numpy.less()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.less_equal](generated/xarray.ufuncs.less_equal.html.md): xarray specific variant of `numpy.less_equal()`. Handles xarray objects by dispatching to the approp... - [xarray.ufuncs.log](generated/xarray.ufuncs.log.html.md): xarray specific variant of `numpy.log()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.log10](generated/xarray.ufuncs.log10.html.md): xarray specific variant of `numpy.log10()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.log1p](generated/xarray.ufuncs.log1p.html.md): xarray specific variant of `numpy.log1p()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.log2](generated/xarray.ufuncs.log2.html.md): xarray specific variant of `numpy.log2()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.logaddexp](generated/xarray.ufuncs.logaddexp.html.md): xarray specific variant of `numpy.logaddexp()`. Handles xarray objects by dispatching to the appropr... - [xarray.ufuncs.logaddexp2](generated/xarray.ufuncs.logaddexp2.html.md): xarray specific variant of `numpy.logaddexp2()`. Handles xarray objects by dispatching to the approp... - [xarray.ufuncs.logical_and](generated/xarray.ufuncs.logical_and.html.md): xarray specific variant of `numpy.logical_and()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.logical_not](generated/xarray.ufuncs.logical_not.html.md): xarray specific variant of `numpy.logical_not()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.logical_or](generated/xarray.ufuncs.logical_or.html.md): xarray specific variant of `numpy.logical_or()`. Handles xarray objects by dispatching to the approp... - [xarray.ufuncs.logical_xor](generated/xarray.ufuncs.logical_xor.html.md): xarray specific variant of `numpy.logical_xor()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.maximum](generated/xarray.ufuncs.maximum.html.md): xarray specific variant of `numpy.maximum()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.minimum](generated/xarray.ufuncs.minimum.html.md): xarray specific variant of `numpy.minimum()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.mod](generated/xarray.ufuncs.mod.html.md): xarray specific variant of `numpy.mod()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.multiply](generated/xarray.ufuncs.multiply.html.md): xarray specific variant of `numpy.multiply()`. Handles xarray objects by dispatching to the appropri... - [xarray.ufuncs.negative](generated/xarray.ufuncs.negative.html.md): xarray specific variant of `numpy.negative()`. Handles xarray objects by dispatching to the appropri... - [xarray.ufuncs.nextafter](generated/xarray.ufuncs.nextafter.html.md): xarray specific variant of `numpy.nextafter()`. Handles xarray objects by dispatching to the appropr... - [xarray.ufuncs.not_equal](generated/xarray.ufuncs.not_equal.html.md): xarray specific variant of `numpy.not_equal()`. Handles xarray objects by dispatching to the appropr... - [xarray.ufuncs.positive](generated/xarray.ufuncs.positive.html.md): xarray specific variant of `numpy.positive()`. Handles xarray objects by dispatching to the appropri... - [xarray.ufuncs.pow](generated/xarray.ufuncs.pow.html.md): xarray specific variant of `numpy.pow()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.power](generated/xarray.ufuncs.power.html.md): xarray specific variant of `numpy.power()`. Handles xarray objects by dispatching to the appropriate... - [xarray.ufuncs.rad2deg](generated/xarray.ufuncs.rad2deg.html.md): xarray specific variant of `numpy.rad2deg()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.radians](generated/xarray.ufuncs.radians.html.md): xarray specific variant of `numpy.radians()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.reciprocal](generated/xarray.ufuncs.reciprocal.html.md): xarray specific variant of `numpy.reciprocal()`. Handles xarray objects by dispatching to the approp... - [xarray.ufuncs.remainder](generated/xarray.ufuncs.remainder.html.md): xarray specific variant of `numpy.remainder()`. Handles xarray objects by dispatching to the appropr... - [xarray.ufuncs.right_shift](generated/xarray.ufuncs.right_shift.html.md): xarray specific variant of `numpy.right_shift()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.rint](generated/xarray.ufuncs.rint.html.md): xarray specific variant of `numpy.rint()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.sign](generated/xarray.ufuncs.sign.html.md): xarray specific variant of `numpy.sign()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.signbit](generated/xarray.ufuncs.signbit.html.md): xarray specific variant of `numpy.signbit()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.sin](generated/xarray.ufuncs.sin.html.md): xarray specific variant of `numpy.sin()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.sinh](generated/xarray.ufuncs.sinh.html.md): xarray specific variant of `numpy.sinh()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.spacing](generated/xarray.ufuncs.spacing.html.md): xarray specific variant of `numpy.spacing()`. Handles xarray objects by dispatching to the appropria... - [xarray.ufuncs.sqrt](generated/xarray.ufuncs.sqrt.html.md): xarray specific variant of `numpy.sqrt()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.square](generated/xarray.ufuncs.square.html.md): xarray specific variant of `numpy.square()`. Handles xarray objects by dispatching to the appropriat... - [xarray.ufuncs.subtract](generated/xarray.ufuncs.subtract.html.md): xarray specific variant of `numpy.subtract()`. Handles xarray objects by dispatching to the appropri... - [xarray.ufuncs.tan](generated/xarray.ufuncs.tan.html.md): xarray specific variant of `numpy.tan()`. Handles xarray objects by dispatching to the appropriate f... - [xarray.ufuncs.tanh](generated/xarray.ufuncs.tanh.html.md): xarray specific variant of `numpy.tanh()`. Handles xarray objects by dispatching to the appropriate ... - [xarray.ufuncs.true_divide](generated/xarray.ufuncs.true_divide.html.md): xarray specific variant of `numpy.true_divide()`. Handles xarray objects by dispatching to the appro... - [xarray.ufuncs.trunc](generated/xarray.ufuncs.trunc.html.md): xarray specific variant of `numpy.trunc()`. Handles xarray objects by dispatching to the appropriate... - [xarray.unify_chunks](generated/xarray.unify_chunks.html.md): Given any number of Dataset and/or DataArray objects, returns - [xarray.where](generated/xarray.where.html.md): Return elements from x or y depending on cond. - [xarray.zeros_like](generated/xarray.zeros_like.html.md): Return a new object of zeros with the same shape and - [Zarr Encoding Specification](internals/zarr-encoding-spec.html.md): In implementing support for the [Zarr](https://zarr.dev) storage --- For more comprehensive documentation, see [llms-full.txt](llms-full.txt)