pandas.DataFrame.dropna# DataFrame.dropna(*, axis=0, how=_NoDefault.no_default, thresh=_NoDefault.no_default, subset=None, inplace=False, ignore_index=False)[source]# Remove missing values. See the User Guide for more on which values are considered missing, and how to work with missing data. Parameters: axis{0 or ‘index’, 1 or ‘columns’}, default 0Determine if rows or columns which contain missing