Index.is_(other)

DatetimeIndex.nbytes return the number of bytes in the underlying data

Series.to_hdf(path_or_buf, key, **kwargs)

DataFrame.pipe(func, *args, **kwargs)

DatetimeIndex.dropna(how='any')

MultiIndex.tolist()

CategoricalIndex.identical(other)

CategoricalIndex.is_floating()

DataFrame.mask(cond, other=nan, inplace=False, axis=None, level=None, try_cast=False, raise_on_error=True)

DataFrame.to_dict(orient='dict')