xarray.Dataset.reindex_like¶
-
Dataset.
reindex_like
(other, method=None, tolerance=None, copy=True, fill_value=<NA>)¶ Conform this object onto the indexes of another object, filling in missing values with
fill_value
. The default fill value is NaN.- Parameters
- otherDataset or DataArray
Object with an ‘indexes’ attribute giving a mapping from dimension names to pandas.Index objects, which provides coordinates upon which to index the variables in this dataset. The indexes on this other object need not be the same as the indexes on this dataset. Any mis-matched index values will be filled in with NaN, and any mis-matched dimension names will simply be ignored.
- method{None, ‘nearest’, ‘pad’/’ffill’, ‘backfill’/’bfill’}, optional
Method to use for filling index values from other not found in this dataset:
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
. Requires pandas>=0.17.- 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.- fill_valuescalar, optional
Value to use for newly missing values
- Returns
- reindexedDataset
Another dataset, with this dataset’s data but coordinates from the other object.
See also