def warn_if_nans_exist ( X ) : null_count = count_rows_with_nans ( X ) total = len ( X ) percent = 100 * null_count / total if null_count > 0 : warning_message = 'Warning! Found {} rows of {} ({:0.2f}%) with nan values. Only ' 'complete rows will be plotted.' . format ( null_count , total , percent ) warnings . warn ( warning_message , DataWarning )
how to check if missing values are blanks or nan or none in python
Warn if nans exist in a numpy array .
def warn_if_nans_exist(X):
    """Warn if nans exist in a numpy array."""
    null_count = count_rows_with_nans(X)
    total = len(X)
    percent = 100 * null_count / total

    if null_count > 0:
        warning_message = \
            'Warning! Found {} rows of {} ({:0.2f}%) with nan values. Only ' \
            'complete rows will be plotted.'.format(null_count, total, percent)
        warnings.warn(warning_message, DataWarning)