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# pandas.DataFrame.all

`DataFrame.``all`(axis=None, bool_only=None, skipna=True, level=None, **kwargs)

  Return whether all elements are True over requested axis. %(na_action)s

  Parameters : | axis : {0, 1} 0 for row-wise, 1 for column-wise skipna : boolean, default True Exclude NA/null values. If an entire row/column is NA, the result will be NA level : int or level name, default None If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a DataFrame bool_only : boolean, default None Only include boolean data.
  Returns : | any : Series (or DataFrame if level specified)

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