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. Ifcopy=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.
See also