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# pandas.DataFrame.count

`DataFrame.``count`(axis=0, level=None, numeric_only=False)

  Return Series with number of non-NA/null observations over requested axis. Works with non-floating point data as well (detects NaN and None)

  Parameters : | axis : {0, 1} 0 for row-wise, 1 for column-wise level : int or level name, default None If the axis is a MultiIndex (hierarchical), count along a particular level, collapsing into a DataFrame numeric_only : boolean, default False Include only float, int, boolean data
  Returns : | count : Series (or DataFrame if level specified)

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