dask.dataframe.tseries.resample.Resampler.min

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dask.dataframe.tseries.resample.Resampler.min#

Resampler.min()[source]#

Compute min value of group.

This docstring was copied from pandas.api.typing.Resampler.min.

Some inconsistencies with the Dask version may exist.

Parameters:
numeric_onlybool, default False (Not supported in Dask)

Include only float, int, boolean columns.

Changed in version 2.0.0: numeric_only no longer accepts None.

min_countint, default 0 (Not supported in Dask)

The required number of valid values to perform the operation. If fewer than min_count non-NA values are present the result will be NA.

Returns:
Series or DataFrame

Compute the minimum value in the given Series or DataFrame.

See also

core.resample.Resampler.max

Compute max value of group.

core.resample.Resampler.mean

Compute mean of groups, excluding missing values.

core.resample.Resampler.median

Compute median of groups, excluding missing values.

Examples

>>> ser = pd.Series(
...     [1, 2, 3, 4],
...     index=pd.DatetimeIndex(
...         ["2023-01-01", "2023-01-15", "2023-02-01", "2023-02-15"]
...     ),
... )
>>> ser
2023-01-01    1
2023-01-15    2
2023-02-01    3
2023-02-15    4
dtype: int64
>>> ser.resample("MS").min()
2023-01-01    1
2023-02-01    3
Freq: MS, dtype: int64
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