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# pandas.DataFrame.dropna

`DataFrame.``dropna`(axis=0, how='any', thresh=None, subset=None, inplace=False)

  Return object with labels on given axis omitted where alternately any or all of the data are missing

  Parameters : | axis : {0, 1}, or tuple/list thereof Pass tuple or list to drop on multiple axes how : {‘any’, ‘all’} any : if any NA values are present, drop that label all : if all values are NA, drop that label thresh : int, default None int value : require that many non-NA values subset : array-like Labels along other axis to consider, e.g. if you are dropping rows these would be a list of columns to include inplace : boolean, defalt False If True, do operation inplace and return None.
  Returns : | dropped : DataFrame

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