GroupBy

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DataFrameGroupBy.any()

DataFrameGroupBy.any(axis=None, bool_only=None, skipna=None, level=None, **kwargs) Return whether any

2017-01-12 04:46:53

DataFrameGroupBy.resample()

DataFrameGroupBy.resample(rule, *args, **kwargs)

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GroupBy.head(n=5)

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GroupBy.sem(ddof=1)

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DataFrameGroupBy.cov()

DataFrameGroupBy.cov(min_periods=None) Compute pairwise covariance of columns, excluding NA/null values

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DataFrameGroupBy.tshift()

DataFrameGroupBy.tshift(periods=1, freq=None, axis=0) Shift the time index, using the index?s frequency

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DataFrameGroupBy.mad()

DataFrameGroupBy.mad(axis=None, skipna=None, level=None) Return the mean absolute deviation of the values

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Grouper.groups

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GroupBy.apply()

GroupBy.apply(func, *args, **kwargs)

2017-01-12 04:48:23

GroupBy.std(ddof=1, *args, **kwargs)

2017-01-12 04:48:30

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