xarray.DataArray.reindex¶

DataArray.reindex(indexers: Optional[Mapping[Hashable, Any]] = None, method: Optional[str] = None, tolerance=None, copy: bool = True, fill_value=<NA>, **indexers_kwargs) → xarray.core.dataarray.DataArray¶

Conform this object onto the indexes of another object, filling in missing values with fill_value. The default fill value is NaN.

Parameters

indexersdict, optional

Dictionary with keys given by dimension names and values given by arrays of coordinates tick labels. Any mis-matched coordinate values will be filled in with NaN, and any mis-matched dimension names will simply be ignored. One of indexers or indexers_kwargs must be provided.

copybool, optional

If copy=True, data in the return value is always copied. If copy=False and reindexing is unnecessary, or can be performed with only slice operations, then the output may share memory with the input. In either case, a new xarray object is always returned.

method{None, ‘nearest’, ‘pad’/’ffill’, ‘backfill’/’bfill’}, optional

Method to use for filling index values in indexers not found on this data array:

None (default): don’t fill gaps
pad / ffill: propagate last valid index value forward
backfill / bfill: propagate next valid index value backward
nearest: use nearest valid index value (requires pandas>=0.16)

toleranceoptional

Maximum distance between original and new labels for inexact matches. The values of the index at the matching locations must satisfy the equation abs(index[indexer] - target) <= tolerance.

fill_valuescalar, optional

Value to use for newly missing values

**indexers_kwarg{dim: indexer, …}, optional

The keyword arguments form of indexers. One of indexers or indexers_kwargs must be provided.

Returns

reindexedDataArray: Another dataset array, with this array’s data but replaced coordinates.