# IO / Conversion ## Dataset methods | [`load_dataset`](../generated/xarray.load_dataset.html.md#xarray.load_dataset)(filename_or_obj, \*\*kwargs) | Open, load into memory, and close a Dataset from a file or file-like object. | |-------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------| | [`open_dataset`](../generated/xarray.open_dataset.html.md#xarray.open_dataset)(filename_or_obj, \*[, engine, ...]) | Open and decode a dataset from a file or file-like object. | | [`open_mfdataset`](../generated/xarray.open_mfdataset.html.md#xarray.open_mfdataset)(paths[, chunks, concat_dim, ...]) | Open multiple files as a single dataset. | | [`open_zarr`](../generated/xarray.open_zarr.html.md#xarray.open_zarr)(store[, group, chunks, decode_cf, ...]) | Load and decode a dataset from a Zarr store. | | [`save_mfdataset`](../generated/xarray.save_mfdataset.html.md#xarray.save_mfdataset)(datasets, paths[, mode, ...]) | Write multiple datasets to disk as netCDF files simultaneously. | | [`Dataset.as_numpy`](../generated/xarray.Dataset.as_numpy.html.md#xarray.Dataset.as_numpy)() | Coerces wrapped data and coordinates into numpy arrays, returning a Dataset. | | [`Dataset.from_dataframe`](../generated/xarray.Dataset.from_dataframe.html.md#xarray.Dataset.from_dataframe)(dataframe[, sparse]) | Convert a pandas.DataFrame into an xarray.Dataset | | [`Dataset.from_dict`](../generated/xarray.Dataset.from_dict.html.md#xarray.Dataset.from_dict)(d) | Convert a dictionary into an xarray.Dataset. | | [`Dataset.to_dataarray`](../generated/xarray.Dataset.to_dataarray.html.md#xarray.Dataset.to_dataarray)([dim, name]) | Convert this dataset into an xarray.DataArray | | [`Dataset.to_dataframe`](../generated/xarray.Dataset.to_dataframe.html.md#xarray.Dataset.to_dataframe)([dim_order]) | Convert this dataset into a pandas.DataFrame. | | [`Dataset.to_dask_dataframe`](../generated/xarray.Dataset.to_dask_dataframe.html.md#xarray.Dataset.to_dask_dataframe)([dim_order, set_index]) | Convert this dataset into a dask.dataframe.DataFrame. | | [`Dataset.to_dict`](../generated/xarray.Dataset.to_dict.html.md#xarray.Dataset.to_dict)([data, encoding]) | Convert this dataset to a dictionary following xarray naming conventions. | | [`Dataset.to_netcdf`](../generated/xarray.Dataset.to_netcdf.html.md#xarray.Dataset.to_netcdf)([path, mode, format, ...]) | Write dataset contents to a netCDF file. | | [`Dataset.to_pandas`](../generated/xarray.Dataset.to_pandas.html.md#xarray.Dataset.to_pandas)() | Convert this dataset into a pandas object without changing the number of dimensions. | | [`Dataset.to_zarr`](../generated/xarray.Dataset.to_zarr.html.md#xarray.Dataset.to_zarr)([store, mode, group, ...]) | Write dataset contents to a zarr group. | | [`Dataset.chunk`](../generated/xarray.Dataset.chunk.html.md#xarray.Dataset.chunk)([chunks, name_prefix, token, ...]) | Coerce all arrays in this dataset into dask arrays with the given chunks. | | [`Dataset.close`](../generated/xarray.Dataset.close.html.md#xarray.Dataset.close)() | Release any resources linked to this object. | | [`Dataset.compute`](../generated/xarray.Dataset.compute.html.md#xarray.Dataset.compute)(\*\*kwargs) | Trigger loading data into memory and return a new dataset. | | [`Dataset.filter_by_attrs`](../generated/xarray.Dataset.filter_by_attrs.html.md#xarray.Dataset.filter_by_attrs)(\*\*kwargs) | Returns a `Dataset` with variables that match specific conditions. | | [`Dataset.info`](../generated/xarray.Dataset.info.html.md#xarray.Dataset.info)([buf]) | Concise summary of a Dataset variables and attributes. | | [`Dataset.load`](../generated/xarray.Dataset.load.html.md#xarray.Dataset.load)(\*\*kwargs) | Trigger loading data into memory and return this dataset. | | [`Dataset.load_async`](../generated/xarray.Dataset.load_async.html.md#xarray.Dataset.load_async)(\*\*kwargs) | Trigger and await asynchronous loading of data into memory and return this dataset. | | [`Dataset.persist`](../generated/xarray.Dataset.persist.html.md#xarray.Dataset.persist)(\*\*kwargs) | Trigger computation, keeping data as chunked arrays. | | [`Dataset.unify_chunks`](../generated/xarray.Dataset.unify_chunks.html.md#xarray.Dataset.unify_chunks)() | Unify chunk size along all chunked dimensions of this Dataset. | ## DataArray methods | [`load_dataarray`](../generated/xarray.load_dataarray.html.md#xarray.load_dataarray)(filename_or_obj, \*\*kwargs) | Open, load into memory, and close a DataArray from a file or file-like object containing a single data variable. | |-----------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------| | [`open_dataarray`](../generated/xarray.open_dataarray.html.md#xarray.open_dataarray)(filename_or_obj, \*[, engine, ...]) | Open a DataArray from a file or file-like object containing a single data variable. | | [`DataArray.as_numpy`](../generated/xarray.DataArray.as_numpy.html.md#xarray.DataArray.as_numpy)() | Coerces wrapped data and coordinates into numpy arrays, returning a DataArray. | | [`DataArray.from_dict`](../generated/xarray.DataArray.from_dict.html.md#xarray.DataArray.from_dict)(d) | Convert a dictionary into an xarray.DataArray | | [`DataArray.from_iris`](../generated/xarray.DataArray.from_iris.html.md#xarray.DataArray.from_iris)(cube) | Convert an iris.cube.Cube into an xarray.DataArray | | [`DataArray.from_series`](../generated/xarray.DataArray.from_series.html.md#xarray.DataArray.from_series)(series[, sparse]) | Convert a pandas.Series into an xarray.DataArray. | | [`DataArray.to_dask_dataframe`](../generated/xarray.DataArray.to_dask_dataframe.html.md#xarray.DataArray.to_dask_dataframe)([dim_order, ...]) | Convert this array into a dask.dataframe.DataFrame. | | [`DataArray.to_dataframe`](../generated/xarray.DataArray.to_dataframe.html.md#xarray.DataArray.to_dataframe)([name, dim_order]) | Convert this array and its coordinates into a tidy pandas.DataFrame. | | [`DataArray.to_dataset`](../generated/xarray.DataArray.to_dataset.html.md#xarray.DataArray.to_dataset)([dim, name, promote_attrs]) | Convert a DataArray to a Dataset. | | [`DataArray.to_dict`](../generated/xarray.DataArray.to_dict.html.md#xarray.DataArray.to_dict)([data, encoding]) | Convert this xarray.DataArray into a dictionary following xarray naming conventions. | | [`DataArray.to_index`](../generated/xarray.DataArray.to_index.html.md#xarray.DataArray.to_index)() | Convert this variable to a pandas.Index. | | [`DataArray.to_iris`](../generated/xarray.DataArray.to_iris.html.md#xarray.DataArray.to_iris)() | Convert this array into an iris.cube.Cube | | [`DataArray.to_masked_array`](../generated/xarray.DataArray.to_masked_array.html.md#xarray.DataArray.to_masked_array)([copy]) | Convert this array into a numpy.ma.MaskedArray | | [`DataArray.to_netcdf`](../generated/xarray.DataArray.to_netcdf.html.md#xarray.DataArray.to_netcdf)([path, mode, format, ...]) | Write DataArray contents to a netCDF file. | | [`DataArray.to_numpy`](../generated/xarray.DataArray.to_numpy.html.md#xarray.DataArray.to_numpy)() | Coerces wrapped data to numpy and returns a numpy.ndarray. | | [`DataArray.to_pandas`](../generated/xarray.DataArray.to_pandas.html.md#xarray.DataArray.to_pandas)() | Convert this array into a pandas object with the same shape. | | [`DataArray.to_series`](../generated/xarray.DataArray.to_series.html.md#xarray.DataArray.to_series)() | Convert this array into a pandas.Series. | | [`DataArray.to_zarr`](../generated/xarray.DataArray.to_zarr.html.md#xarray.DataArray.to_zarr)([store, mode, group, ...]) | Write DataArray contents to a Zarr store | | [`DataArray.chunk`](../generated/xarray.DataArray.chunk.html.md#xarray.DataArray.chunk)([chunks, name_prefix, ...]) | Coerce this array's data into a dask arrays with the given chunks. | | [`DataArray.close`](../generated/xarray.DataArray.close.html.md#xarray.DataArray.close)() | Release any resources linked to this object. | | [`DataArray.compute`](../generated/xarray.DataArray.compute.html.md#xarray.DataArray.compute)(\*\*kwargs) | Trigger loading data into memory and return a new dataarray. | | [`DataArray.persist`](../generated/xarray.DataArray.persist.html.md#xarray.DataArray.persist)(\*\*kwargs) | Trigger computation in constituent dask arrays | | [`DataArray.load`](../generated/xarray.DataArray.load.html.md#xarray.DataArray.load)(\*\*kwargs) | Trigger loading data into memory and return this dataarray. | | [`DataArray.load_async`](../generated/xarray.DataArray.load_async.html.md#xarray.DataArray.load_async)(\*\*kwargs) | Trigger and await asynchronous loading of data into memory and return this dataarray. | | [`DataArray.unify_chunks`](../generated/xarray.DataArray.unify_chunks.html.md#xarray.DataArray.unify_chunks)() | Unify chunk size along all chunked dimensions of this DataArray. | ## DataTree methods | [`load_datatree`](../generated/xarray.load_datatree.html.md#xarray.load_datatree)(filename_or_obj, \*\*kwargs) | Open, load into memory, and close a DataTree from a file or file-like object. | |--------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------| | [`open_datatree`](../generated/xarray.open_datatree.html.md#xarray.open_datatree)(filename_or_obj, \*[, engine, ...]) | Open and decode a DataTree from a file or file-like object, creating one tree node for each group in the file. | | [`open_groups`](../generated/xarray.open_groups.html.md#xarray.open_groups)(filename_or_obj, \*[, engine, ...]) | Open and decode a file or file-like object, creating a dictionary containing one xarray Dataset for each group in the file. | | [`DataTree.to_dict`](../generated/xarray.DataTree.to_dict.html.md#xarray.DataTree.to_dict)([relative]) | Create a dictionary mapping of paths to the data contained in those nodes. | | [`DataTree.to_netcdf`](../generated/xarray.DataTree.to_netcdf.html.md#xarray.DataTree.to_netcdf)([filepath, mode, ...]) | Write datatree contents to a netCDF file. | | [`DataTree.to_zarr`](../generated/xarray.DataTree.to_zarr.html.md#xarray.DataTree.to_zarr)(store[, mode, encoding, ...]) | Write datatree contents to a Zarr store. | | [`DataTree.chunk`](../generated/xarray.DataTree.chunk.html.md#xarray.DataTree.chunk)([chunks, name_prefix, token, ...]) | Coerce all arrays in all groups in this tree into dask arrays with the given chunks. | | [`DataTree.load`](../generated/xarray.DataTree.load.html.md#xarray.DataTree.load)(\*\*kwargs) | Manually trigger loading and/or computation of this datatree's data from disk or a remote source into memory and return this datatree. | | [`DataTree.compute`](../generated/xarray.DataTree.compute.html.md#xarray.DataTree.compute)(\*\*kwargs) | Manually trigger loading and/or computation of this datatree's data from disk or a remote source into memory and return a new datatree. | | [`DataTree.persist`](../generated/xarray.DataTree.persist.html.md#xarray.DataTree.persist)(\*\*kwargs) | Trigger computation, keeping data as chunked arrays. |