xarray.Dataset.resample
xarray.Dataset.resample#
- Dataset.resample(indexer=None, skipna=None, closed=None, label=None, base=0, keep_attrs=None, loffset=None, restore_coord_dims=None, **indexer_kwargs)[source]#
Returns a Resample object for performing resampling operations.
Handles both downsampling and upsampling. The resampled dimension must be a datetime-like coordinate. If any intervals contain no values from the original object, they will be given the value
NaN
.- Parameters
indexer (
Mapping
ofHashable
tostr
, optional) – Mapping from the dimension name to resample frequency 1. The dimension must be datetime-like.skipna (
bool
, optional) – Whether to skip missing values when aggregating in downsampling.closed (
{"left", "right"}
, optional) – Side of each interval to treat as closed.label (
{"left", "right"}
, optional) – Side of each interval to use for labeling.base (
int
, default= 0
) – For frequencies that evenly subdivide 1 day, the “origin” of the aggregated intervals. For example, for “24H” frequency, base could range from 0 through 23.loffset (
timedelta
orstr
, optional) – Offset used to adjust the resampled time labels. Some pandas date offset strings are supported.restore_coord_dims (
bool
, optional) – If True, also restore the dimension order of multi-dimensional coordinates.**indexer_kwargs (
str
) – The keyword arguments form ofindexer
. One of indexer or indexer_kwargs must be provided.
- Returns
resampled (
core.resample.DataArrayResample
) – This object resampled.
References