xarray.Dataset.resample¶
-
Dataset.
resample
(freq=None, dim=None, how=None, skipna=None, closed=None, label=None, base=0, keep_attrs=False, **indexer)¶ Returns a Resample object for performing resampling operations.
Handles both downsampling and upsampling. Upsampling with filling is not supported; if any intervals contain no values from the original object, they will be given the value
NaN
.Parameters: skipna : bool, optional
Whether to skip missing values when aggregating in downsampling.
closed : ‘left’ or ‘right’, optional
Side of each interval to treat as closed.
label : ‘left or ‘right’, optional
Side of each interval to use for labeling.
base : int, optional
For frequencies that evenly subdivide 1 day, the “origin” of the aggregated intervals. For example, for ‘24H’ frequency, base could range from 0 through 23.
keep_attrs : bool, optional
If True, the object’s attributes (attrs) will be copied from the original object to the new one. If False (default), the new object will be returned without attributes.
**indexer : {dim: freq}
Dictionary with a key indicating the dimension name to resample over and a value corresponding to the resampling frequency.
Returns: resampled : same type as caller
This object resampled.
References
[R31] http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases