pandas.isnull — pandas 1.3.5 documentation
pandas.pydata.org › api › pandaspandas.isnull. ¶. Detect missing values for an array-like object. This function takes a scalar or array-like object and indicates whether values are missing ( NaN in numeric arrays, None or NaN in object arrays, NaT in datetimelike). Object to check for null or missing values. For scalar input, returns a scalar boolean.
pandas.Series.isnull — pandas 1.3.5 documentation
pandas.pydata.org › api › pandaspandas.Series.isnull. ¶. Series.isnull() [source] ¶. Detect missing values. Return a boolean same-sized object indicating if the values are NA. NA values, such as None or numpy.NaN, gets mapped to True values. Everything else gets mapped to False values. Characters such as empty strings '' or numpy.inf are not considered NA values (unless you ...