add variables from other datasets to my dataset |
Dataset.merge() |
add a new dimension and/or coordinate |
DataArray.expand_dims() , Dataset.expand_dims() |
add a new coordinate variable |
DataArray.assign_coords() |
change a data variable to a coordinate variable |
Dataset.set_coords() |
change the order of dimensions |
DataArray.transpose() , Dataset.transpose() |
remove a variable from my object |
Dataset.drop() , DataArray.drop() |
remove dimensions of length 1 or 0 |
DataArray.squeeze() , Dataset.squeeze() |
remove all variables with a particular dimension |
Dataset.drop_dims() |
convert non-dimension coordinates to data variables or remove them |
DataArray.reset_coords() , Dataset.reset_coords() |
rename a variable, dimension or coordinate |
Dataset.rename() , DataArray.rename() , Dataset.rename_vars() , Dataset.rename_dims() , |
convert a DataArray to Dataset or vice versa |
DataArray.to_dataset() , Dataset.to_array() |
extract the underlying array (e.g. numpy or Dask arrays) |
DataArray.data |
convert to and extract the underlying numpy array |
DataArray.values |
find out if my xarray object is wrapping a Dask Array |
dask.is_dask_collection() |
know how much memory my object requires |
DataArray.nbytes , Dataset.nbytes |
convert a possibly irregularly sampled timeseries to a regularly sampled timeseries |
DataArray.resample() , Dataset.resample() (see Resampling and grouped operations for more) |
apply a function on all data variables in a Dataset |
Dataset.map() |
write xarray objects with complex values to a netCDF file |
Dataset.to_netcdf() , DataArray.to_netcdf() specifying engine="h5netcdf", invalid_netcdf=True |
make xarray objects look like other xarray objects |
ones_like() , zeros_like() , full_like() , Dataset.reindex_like() , Dataset.interpolate_like() , Dataset.broadcast_like() , DataArray.reindex_like() , DataArray.interpolate_like() , DataArray.broadcast_like() |
replace NaNs with other values |
Dataset.fillna() , Dataset.ffill() , Dataset.bfill() , Dataset.interpolate_na() , DataArray.fillna() , DataArray.ffill() , DataArray.bfill() , DataArray.interpolate_na() |
extract the year, month, day or similar from a DataArray of time values |
obj.dt.month for example where obj is a DataArray containing datetime64 or cftime values. See Datetime components for more. |
round off time values to a specified frequency |
obj.dt.ceil , obj.dt.floor , obj.dt.round . See Datetime components for more. |
make a mask that is True where an object contains any of the values in a array |
Dataset.isin() , DataArray.isin() |