Resampler.aggregate(self, func, *args, **kwargs)
[source]
Aggregate using one or more operations over the specified axis.
Parameters: |
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Returns: |
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See also
DataFrame.groupby.aggregate
DataFrame.resample.transform
DataFrame.aggregate
agg
is an alias for aggregate
. Use the alias.
A passed user-defined-function will be passed a Series for evaluation.
>>> s = pd.Series([1,2,3,4,5], index=pd.date_range('20130101', periods=5,freq='s')) 2013-01-01 00:00:00 1 2013-01-01 00:00:01 2 2013-01-01 00:00:02 3 2013-01-01 00:00:03 4 2013-01-01 00:00:04 5 Freq: S, dtype: int64
>>> r = s.resample('2s') DatetimeIndexResampler [freq=<2 * Seconds>, axis=0, closed=left, label=left, convention=start, base=0]
>>> r.agg(np.sum) 2013-01-01 00:00:00 3 2013-01-01 00:00:02 7 2013-01-01 00:00:04 5 Freq: 2S, dtype: int64
>>> r.agg(['sum','mean','max']) sum mean max 2013-01-01 00:00:00 3 1.5 2 2013-01-01 00:00:02 7 3.5 4 2013-01-01 00:00:04 5 5.0 5
>>> r.agg({'result' : lambda x: x.mean() / x.std(), 'total' : np.sum}) total result 2013-01-01 00:00:00 3 2.121320 2013-01-01 00:00:02 7 4.949747 2013-01-01 00:00:04 5 NaN
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.25.0/reference/api/pandas.core.resample.Resampler.aggregate.html