.. currentmodule:: xarray
This page provides an auto-generated summary of xarray's API. For more details and examples, refer to the relevant chapters in the main part of the documentation.
See also: :ref:`public api`
.. autosummary:: :toctree: generated/ apply_ufunc align broadcast concat merge auto_combine combine_by_coords combine_nested where set_options full_like zeros_like ones_like dot map_blocks
.. autosummary:: :toctree: generated/ Dataset decode_cf
.. autosummary:: :toctree: generated/ Dataset.dims Dataset.sizes Dataset.data_vars Dataset.coords Dataset.attrs Dataset.encoding Dataset.indexes Dataset.get_index Dataset.chunks Dataset.nbytes
Datasets implement the mapping interface with keys given by variable names
and values given by DataArray
objects.
.. autosummary:: :toctree: generated/ Dataset.__getitem__ Dataset.__setitem__ Dataset.__delitem__ Dataset.update Dataset.items Dataset.values
.. autosummary:: :toctree: generated/ Dataset.copy Dataset.assign Dataset.assign_coords Dataset.assign_attrs Dataset.pipe Dataset.merge Dataset.rename Dataset.rename_vars Dataset.rename_dims Dataset.swap_dims Dataset.expand_dims Dataset.drop Dataset.drop_dims Dataset.set_coords Dataset.reset_coords
.. autosummary:: :toctree: generated/ Dataset.equals Dataset.identical Dataset.broadcast_equals
.. autosummary:: :toctree: generated/ Dataset.loc Dataset.isel Dataset.sel Dataset.head Dataset.tail Dataset.thin Dataset.squeeze Dataset.interp Dataset.interp_like Dataset.reindex Dataset.reindex_like Dataset.set_index Dataset.reset_index Dataset.reorder_levels
.. autosummary:: :toctree: generated/ Dataset.isnull Dataset.notnull Dataset.combine_first Dataset.count Dataset.dropna Dataset.fillna Dataset.ffill Dataset.bfill Dataset.interpolate_na Dataset.where Dataset.isin
.. autosummary:: :toctree: generated/ Dataset.apply Dataset.reduce Dataset.groupby Dataset.groupby_bins Dataset.rolling Dataset.rolling_exp Dataset.coarsen Dataset.resample Dataset.diff Dataset.quantile Dataset.differentiate Dataset.integrate
Aggregation: :py:attr:`~Dataset.all` :py:attr:`~Dataset.any` :py:attr:`~Dataset.argmax` :py:attr:`~Dataset.argmin` :py:attr:`~Dataset.max` :py:attr:`~Dataset.mean` :py:attr:`~Dataset.median` :py:attr:`~Dataset.min` :py:attr:`~Dataset.prod` :py:attr:`~Dataset.sum` :py:attr:`~Dataset.std` :py:attr:`~Dataset.var`
ndarray methods: :py:attr:`~Dataset.astype` :py:attr:`~Dataset.argsort` :py:attr:`~Dataset.clip` :py:attr:`~Dataset.conj` :py:attr:`~Dataset.conjugate` :py:attr:`~Dataset.imag` :py:attr:`~Dataset.round` :py:attr:`~Dataset.real` :py:attr:`~Dataset.cumsum` :py:attr:`~Dataset.cumprod` :py:attr:`~Dataset.rank`
Grouped operations: :py:attr:`~core.groupby.DatasetGroupBy.assign` :py:attr:`~core.groupby.DatasetGroupBy.assign_coords` :py:attr:`~core.groupby.DatasetGroupBy.first` :py:attr:`~core.groupby.DatasetGroupBy.last` :py:attr:`~core.groupby.DatasetGroupBy.fillna` :py:attr:`~core.groupby.DatasetGroupBy.where` :py:attr:`~core.groupby.DatasetGroupBy.quantile`
.. autosummary:: :toctree: generated/ Dataset.transpose Dataset.stack Dataset.unstack Dataset.to_stacked_array Dataset.shift Dataset.roll Dataset.sortby Dataset.broadcast_like
.. autosummary:: :toctree: generated/ DataArray
.. autosummary:: :toctree: generated/ DataArray.values DataArray.data DataArray.coords DataArray.dims DataArray.sizes DataArray.name DataArray.attrs DataArray.encoding DataArray.indexes DataArray.get_index
ndarray attributes: :py:attr:`~DataArray.ndim` :py:attr:`~DataArray.shape` :py:attr:`~DataArray.size` :py:attr:`~DataArray.dtype` :py:attr:`~DataArray.nbytes` :py:attr:`~DataArray.chunks`
.. autosummary:: :toctree: generated/ DataArray.assign_coords DataArray.assign_attrs DataArray.pipe DataArray.rename DataArray.swap_dims DataArray.expand_dims DataArray.drop DataArray.reset_coords DataArray.copy
ndarray methods: :py:attr:`~DataArray.astype` :py:attr:`~DataArray.item`
.. autosummary:: :toctree: generated/ DataArray.__getitem__ DataArray.__setitem__ DataArray.loc DataArray.isel DataArray.sel DataArray.head DataArray.tail DataArray.thin DataArray.squeeze DataArray.interp DataArray.interp_like DataArray.reindex DataArray.reindex_like DataArray.set_index DataArray.reset_index DataArray.reorder_levels
.. autosummary:: :toctree: generated/ DataArray.isnull DataArray.notnull DataArray.combine_first DataArray.count DataArray.dropna DataArray.fillna DataArray.ffill DataArray.bfill DataArray.interpolate_na DataArray.where DataArray.isin
.. autosummary:: :toctree: generated/ DataArray.equals DataArray.identical DataArray.broadcast_equals
.. autosummary:: :toctree: generated/ DataArray.reduce DataArray.groupby DataArray.groupby_bins DataArray.rolling DataArray.rolling_exp DataArray.coarsen DataArray.dt DataArray.resample DataArray.get_axis_num DataArray.diff DataArray.dot DataArray.quantile DataArray.differentiate DataArray.integrate DataArray.str
Aggregation: :py:attr:`~DataArray.all` :py:attr:`~DataArray.any` :py:attr:`~DataArray.argmax` :py:attr:`~DataArray.argmin` :py:attr:`~DataArray.max` :py:attr:`~DataArray.mean` :py:attr:`~DataArray.median` :py:attr:`~DataArray.min` :py:attr:`~DataArray.prod` :py:attr:`~DataArray.sum` :py:attr:`~DataArray.std` :py:attr:`~DataArray.var`
ndarray methods: :py:attr:`~DataArray.argsort` :py:attr:`~DataArray.clip` :py:attr:`~DataArray.conj` :py:attr:`~DataArray.conjugate` :py:attr:`~DataArray.imag` :py:attr:`~DataArray.searchsorted` :py:attr:`~DataArray.round` :py:attr:`~DataArray.real` :py:attr:`~DataArray.T` :py:attr:`~DataArray.cumsum` :py:attr:`~DataArray.cumprod` :py:attr:`~DataArray.rank`
Grouped operations: :py:attr:`~core.groupby.DataArrayGroupBy.assign_coords` :py:attr:`~core.groupby.DataArrayGroupBy.first` :py:attr:`~core.groupby.DataArrayGroupBy.last` :py:attr:`~core.groupby.DataArrayGroupBy.fillna` :py:attr:`~core.groupby.DataArrayGroupBy.where` :py:attr:`~core.groupby.DataArrayGroupBy.quantile`
.. autosummary:: :toctree: generated/ DataArray.transpose DataArray.stack DataArray.unstack DataArray.to_unstacked_dataset DataArray.shift DataArray.roll DataArray.sortby DataArray.broadcast_like
Warning
With recent versions of numpy, dask and xarray, NumPy ufuncs are now
supported directly on all xarray and dask objects. This obviates the need
for the xarray.ufuncs
module, which should not be used for new code
unless compatibility with versions of NumPy prior to v1.13 is required.
This functions are copied from NumPy, but extended to work on NumPy arrays,
dask arrays and all xarray objects. You can find them in the xarray.ufuncs
module:
:py:attr:`~ufuncs.angle` :py:attr:`~ufuncs.arccos` :py:attr:`~ufuncs.arccosh` :py:attr:`~ufuncs.arcsin` :py:attr:`~ufuncs.arcsinh` :py:attr:`~ufuncs.arctan` :py:attr:`~ufuncs.arctan2` :py:attr:`~ufuncs.arctanh` :py:attr:`~ufuncs.ceil` :py:attr:`~ufuncs.conj` :py:attr:`~ufuncs.copysign` :py:attr:`~ufuncs.cos` :py:attr:`~ufuncs.cosh` :py:attr:`~ufuncs.deg2rad` :py:attr:`~ufuncs.degrees` :py:attr:`~ufuncs.exp` :py:attr:`~ufuncs.expm1` :py:attr:`~ufuncs.fabs` :py:attr:`~ufuncs.fix` :py:attr:`~ufuncs.floor` :py:attr:`~ufuncs.fmax` :py:attr:`~ufuncs.fmin` :py:attr:`~ufuncs.fmod` :py:attr:`~ufuncs.fmod` :py:attr:`~ufuncs.frexp` :py:attr:`~ufuncs.hypot` :py:attr:`~ufuncs.imag` :py:attr:`~ufuncs.iscomplex` :py:attr:`~ufuncs.isfinite` :py:attr:`~ufuncs.isinf` :py:attr:`~ufuncs.isnan` :py:attr:`~ufuncs.isreal` :py:attr:`~ufuncs.ldexp` :py:attr:`~ufuncs.log` :py:attr:`~ufuncs.log10` :py:attr:`~ufuncs.log1p` :py:attr:`~ufuncs.log2` :py:attr:`~ufuncs.logaddexp` :py:attr:`~ufuncs.logaddexp2` :py:attr:`~ufuncs.logical_and` :py:attr:`~ufuncs.logical_not` :py:attr:`~ufuncs.logical_or` :py:attr:`~ufuncs.logical_xor` :py:attr:`~ufuncs.maximum` :py:attr:`~ufuncs.minimum` :py:attr:`~ufuncs.nextafter` :py:attr:`~ufuncs.rad2deg` :py:attr:`~ufuncs.radians` :py:attr:`~ufuncs.real` :py:attr:`~ufuncs.rint` :py:attr:`~ufuncs.sign` :py:attr:`~ufuncs.signbit` :py:attr:`~ufuncs.sin` :py:attr:`~ufuncs.sinh` :py:attr:`~ufuncs.sqrt` :py:attr:`~ufuncs.square` :py:attr:`~ufuncs.tan` :py:attr:`~ufuncs.tanh` :py:attr:`~ufuncs.trunc`
.. autosummary:: :toctree: generated/ open_dataset load_dataset open_mfdataset open_rasterio open_zarr Dataset.to_netcdf Dataset.to_zarr save_mfdataset Dataset.to_array Dataset.to_dataframe Dataset.to_dask_dataframe Dataset.to_dict Dataset.from_dataframe Dataset.from_dict Dataset.close Dataset.compute Dataset.persist Dataset.load Dataset.chunk Dataset.unify_chunks Dataset.map_blocks Dataset.filter_by_attrs Dataset.info
.. autosummary:: :toctree: generated/ open_dataarray load_dataarray DataArray.to_dataset DataArray.to_netcdf DataArray.to_pandas DataArray.to_series DataArray.to_dataframe DataArray.to_index DataArray.to_masked_array DataArray.to_cdms2 DataArray.to_iris DataArray.from_iris DataArray.to_dict DataArray.from_series DataArray.from_cdms2 DataArray.from_dict DataArray.close DataArray.compute DataArray.persist DataArray.load DataArray.chunk DataArray.unify_chunks DataArray.map_blocks
.. autosummary:: :toctree: generated/ core.groupby.DataArrayGroupBy core.groupby.DataArrayGroupBy.apply core.groupby.DataArrayGroupBy.reduce core.groupby.DatasetGroupBy core.groupby.DatasetGroupBy.apply core.groupby.DatasetGroupBy.reduce
.. autosummary:: :toctree: generated/ core.rolling.DataArrayRolling core.rolling.DataArrayRolling.construct core.rolling.DataArrayRolling.reduce core.rolling.DatasetRolling core.rolling.DatasetRolling.construct core.rolling.DatasetRolling.reduce core.rolling_exp.RollingExp
Resample objects also implement the GroupBy interface
(methods like apply()
, reduce()
, mean()
, sum()
, etc.).
.. autosummary:: :toctree: generated/ core.resample.DataArrayResample core.resample.DataArrayResample.asfreq core.resample.DataArrayResample.backfill core.resample.DataArrayResample.interpolate core.resample.DataArrayResample.nearest core.resample.DataArrayResample.pad core.resample.DatasetResample core.resample.DatasetResample.asfreq core.resample.DatasetResample.backfill core.resample.DatasetResample.interpolate core.resample.DatasetResample.nearest core.resample.DatasetResample.pad
.. autosummary:: :toctree: generated/ core.accessor_dt.DatetimeAccessor core.accessor_str.StringAccessor
.. autosummary:: :toctree: generated/ CFTimeIndex
.. autosummary:: :toctree: generated/ cftime_range
.. autosummary:: :toctree: generated/ Dataset.plot plot.scatter DataArray.plot plot.plot plot.contourf plot.contour plot.hist plot.imshow plot.line plot.pcolormesh plot.FacetGrid
.. autosummary:: :toctree: generated/ testing.assert_equal testing.assert_identical testing.assert_allclose testing.assert_chunks_equal
.. autosummary:: :toctree: generated/ MergeError SerializationWarning
.. autosummary:: :toctree: generated/ Dataset.variables DataArray.variable Variable IndexVariable as_variable register_dataset_accessor register_dataarray_accessor
These backends provide a low-level interface for lazily loading data from
external file-formats or protocols, and can be manually invoked to create
arguments for the from_store
and dump_to_store
Dataset methods:
.. autosummary:: :toctree: generated/ backends.NetCDF4DataStore backends.H5NetCDFStore backends.PydapDataStore backends.ScipyDataStore backends.FileManager backends.CachingFileManager backends.DummyFileManager