pandas.DataFrame.dropna

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

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

Parameters:

axis : {0 or ‘index’, 1 or ‘columns’}, 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, default False If True, do operation inplace and return None.

Returns:

dropped : DataFrame