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

Series.sem(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)

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

Series.order(na_last=None, ascending=True, kind='quicksort', na_position='last', inplace=False)

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

Series.plot(kind='line', ax=None, figsize=None, use_index=True, title=None, grid=None, legend=False, style=None, logx=False, logy=False, loglog=False

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Series.dt.day
  • References/Python/Pandas/API Reference/Series

Series.dt.day The days of the datetime

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

Series.map(arg, na_action=None)

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

Series.ne(other, level=None, fill_value=None, axis=0)

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

Series.drop_duplicates(*args, **kwargs)

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Series.dt.components
  • References/Python/Pandas/API Reference/Series

Series.dt.components Return a dataframe of the components (days, hours, minutes, seconds, milliseconds, microseconds

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Series.dt.freq
  • References/Python/Pandas/API Reference/Series

Series.dt.freq get/set the frequncy of the Index

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Series.str.extract()
  • References/Python/Pandas/API Reference/Series

Series.str.extract(pat, flags=0, expand=None)

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