xray
  • Overview: Why xray?
    • Features
    • Core data structures
    • Goals and aspirations
  • Examples
    • Quick overview
      • Create a DataArray
      • Indexing
      • Computation
      • GroupBy
      • Convert to pandas
      • Datasets and NetCDF
    • Toy weather data
      • Examine a dataset with pandas and seaborn
      • Probability of freeze by calendar month
      • Monthly averaging
      • Calculate monthly anomalies
      • Fill missing values with climatology
    • Calculating Seasonal Averages from Timeseries of Monthly Means
      • Some calendar information so we can support any netCDF calendar.
      • A few calendar functions to determine the number of days in each month
      • Open the Dataset
      • Now for the heavy lifting:
  • Installation
    • Required dependencies
    • Optional dependencies
      • netCDF and IO
      • Accelerating xray
      • Parallel computing
    • Instructions
  • Data Structures
    • DataArray
      • Creating a DataArray
      • DataArray properties
      • DataArray Coordinates
    • Dataset
      • Creating a Dataset
      • Dataset contents
      • Dictionary like methods
      • Modifying datasets
    • Coordinates
      • Modifying coordinates
      • Coordinates methods
      • Indexes
    • Converting datasets and arrays
  • Indexing and selecting data
    • Positional indexing
    • Indexing with labeled dimensions
    • Dataset indexing
    • Dropping labels
    • Indexing details
    • Align and reindex
    • Nearest neighbor lookups
  • Computation
    • Basic array math
    • Missing values
    • Aggregation
    • Broadcasting by dimension name
    • Automatic alignment
    • Coordinates
    • Math with datasets
  • GroupBy: split-apply-combine
    • Split
    • Apply
    • First and last
    • Grouped arithmetic
    • Squeezing
  • Combining data
    • Concatenate
    • Merge
    • Update
    • Equals and identical
  • Time series data
    • Creating datetime64 data
    • Datetime indexing
    • Datetime components
    • Resampling and grouped operations
  • Working with pandas
    • Hierarchical and tidy data
      • Dataset and DataFrame
      • DataArray and Series
    • Multi-dimensional data
  • Serialization and IO
    • Pickle
    • netCDF
    • OPeNDAP
    • Combining multiple files
  • Out of core computation with dask
    • What is a dask array?
    • Reading and writing data
    • Using dask with xray
    • Chunking and performance
  • API reference
    • Top-level functions
      • xray.align
      • xray.concat
      • xray.set_options
    • Dataset
      • Creating a dataset
        • xray.Dataset
        • xray.decode_cf
      • Attributes
        • xray.Dataset.dims
        • xray.Dataset.data_vars
        • xray.Dataset.coords
        • xray.Dataset.attrs
      • Dictionary interface
        • xray.Dataset.__getitem__
        • xray.Dataset.__setitem__
        • xray.Dataset.__delitem__
        • xray.Dataset.update
        • xray.Dataset.iteritems
        • xray.Dataset.itervalues
      • Dataset contents
        • xray.Dataset.copy
        • xray.Dataset.assign
        • xray.Dataset.assign_coords
        • xray.Dataset.merge
        • xray.Dataset.rename
        • xray.Dataset.swap_dims
        • xray.Dataset.drop
        • xray.Dataset.set_coords
        • xray.Dataset.reset_coords
      • Comparisons
        • xray.Dataset.equals
        • xray.Dataset.identical
        • xray.Dataset.broadcast_equals
      • Indexing
        • xray.Dataset.loc
        • xray.Dataset.isel
        • xray.Dataset.sel
        • xray.Dataset.squeeze
        • xray.Dataset.reindex
        • xray.Dataset.reindex_like
      • Computation
        • xray.Dataset.apply
        • xray.Dataset.reduce
        • xray.Dataset.groupby
        • xray.Dataset.resample
        • xray.Dataset.transpose
    • DataArray
      • xray.DataArray
        • xray.DataArray.dims
        • xray.DataArray.values
        • xray.DataArray.coords
        • xray.DataArray.name
        • xray.DataArray.attrs
      • Attributes
        • xray.DataArray.values
        • xray.DataArray.data
        • xray.DataArray.coords
        • xray.DataArray.dims
        • xray.DataArray.name
        • xray.DataArray.attrs
        • xray.DataArray.encoding
      • DataArray contents
        • xray.DataArray.assign_coords
        • xray.DataArray.rename
        • xray.DataArray.swap_dims
        • xray.DataArray.drop
        • xray.DataArray.reset_coords
        • xray.DataArray.copy
      • Indexing
        • xray.DataArray.__getitem__
        • xray.DataArray.__setitem__
        • xray.DataArray.loc
        • xray.DataArray.isel
        • xray.DataArray.sel
        • xray.DataArray.squeeze
        • xray.DataArray.reindex
        • xray.DataArray.reindex_like
      • Computation
        • xray.DataArray.reduce
        • xray.DataArray.groupby
        • xray.DataArray.resample
        • xray.DataArray.transpose
        • xray.DataArray.get_axis_num
      • Comparisons
        • xray.DataArray.equals
        • xray.DataArray.identical
        • xray.DataArray.broadcast_equals
    • Universal functions
    • IO / Conversion
      • Dataset methods
        • xray.open_dataset
        • xray.open_mfdataset
        • xray.Dataset.to_netcdf
        • xray.Dataset.to_array
        • xray.Dataset.to_dataframe
        • xray.Dataset.from_dataframe
        • xray.Dataset.close
        • xray.Dataset.load
        • xray.Dataset.chunk
      • DataArray methods
        • xray.DataArray.to_dataset
        • xray.DataArray.to_pandas
        • xray.DataArray.to_series
        • xray.DataArray.to_dataframe
        • xray.DataArray.to_index
        • xray.DataArray.to_cdms2
        • xray.DataArray.from_series
        • xray.DataArray.from_cdms2
        • xray.DataArray.load
        • xray.DataArray.chunk
      • Backends (experimental)
        • xray.backends.NetCDF4DataStore
        • xray.backends.H5NetCDFStore
        • xray.backends.PydapDataStore
        • xray.backends.ScipyDataStore
  • Frequently Asked Questions
    • Why is pandas not enough?
    • How do xray data structures differ from those found in pandas?
    • Should I use xray instead of pandas?
    • What is your approach to metadata?
    • What other netCDF related Python libraries should I know about?
  • What’s New
    • v0.5 (1 June 2005)
      • Highlights
      • Backwards incompatible changes
      • Enhancements
      • Deprecations
    • v0.4.1 (18 March 2015)
      • Enhancements
      • Bug fixes
    • v0.4 (2 March, 2015)
      • Breaking changes
      • Enhancements
      • Bug fixes
      • Deprecations
      • Future plans
    • v0.3.2 (23 December, 2014)
      • Backwards incompatible changes
      • Enhancements
      • Bug fixes
      • Future plans
    • v0.3.1 (22 October, 2014)
      • New features
      • Bug fixes
    • v0.3 (21 September 2014)
      • New features
      • Backwards incompatible changes
      • Deprecations
    • v0.2 (14 August 2014)
    • v0.1.1 (20 May 2014)
    • v0.1 (2 May 2014)
 
xray
  • Docs »
  • Examples
  • Edit on GitHub

ExamplesΒΆ

  • Quick overview
    • Create a DataArray
    • Indexing
    • Computation
    • GroupBy
    • Convert to pandas
    • Datasets and NetCDF
  • Toy weather data
    • Examine a dataset with pandas and seaborn
    • Probability of freeze by calendar month
    • Monthly averaging
    • Calculate monthly anomalies
    • Fill missing values with climatology
  • Calculating Seasonal Averages from Timeseries of Monthly Means
    • Some calendar information so we can support any netCDF calendar.
    • A few calendar functions to determine the number of days in each month
    • Open the Dataset
    • Now for the heavy lifting:
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