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 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