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# pandas.DatetimeIndex.value_counts

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

  Returns object containing counts of unique values.

  The resulting object will be in descending order so that the first element is the most frequently-occurring element. Excludes NA values by default.

  Parameters : | normalize : boolean, default False If True then the object returned will contain the relative frequencies of the unique values. sort : boolean, default True Sort by values ascending : boolean, default False Sort in ascending order bins : integer, optional Rather than count values, group them into half-open bins, a convenience for pd.cut, only works with numeric data dropna : boolean, default True Don’t include counts of NaN.
  Returns : | counts : Series

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