CategoricalIndex.value_counts()
  • References/Python/Pandas/API Reference/CategoricalIndex

CategoricalIndex.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)

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MultiIndex.value_counts()
  • References/Python/Pandas/API Reference/MultiIndex

MultiIndex.value_counts(normalize=False, sort=True, ascending=False, bins=None, dropna=True)

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GroupBy.max()
  • References/Python/Pandas/API Reference/GroupBy

GroupBy.max()

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Panel.mul()
  • References/Python/Pandas/API Reference/Panel

Panel.mul(other, axis=0)

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DataFrameGroupBy.all()
  • References/Python/Pandas/API Reference/GroupBy

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

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TimedeltaIndex.is_()
  • References/Python/Pandas/API Reference/TimedeltaIndex

TimedeltaIndex.is_(other)

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Series.to_sql()
  • References/Python/Pandas/API Reference/Series

Series.to_sql(name, con, flavor=None, schema=None, if_exists='fail', index=True, index_label=None, chunksize=None, dtype=None)

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Panel.iloc
  • References/Python/Pandas/API Reference/Panel

Panel.iloc Purely integer-location based indexing for selection by position. .iloc[] is primarily integer

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DataFrameGroupBy.ffill()
  • References/Python/Pandas/API Reference/GroupBy

DataFrameGroupBy.ffill(limit=None)

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pandas.to_timedelta()
  • References/Python/Pandas/API Reference/General functions

pandas.to_timedelta(*args, **kwargs)

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