SeriesGroupBy.unique() Return np.ndarray of unique values in the object. Significantly faster than numpy

CategoricalIndex.itemsize return the size of the dtype of the item of the underlying data

DataFrame.__iter__()

DataFrame.ffill(axis=None, inplace=False, limit=None, downcast=None)

Panel.axes Return index label(s) of the internal NDFrame

Series.str.zfill(width)

DataFrame.count(axis=0, level=None, numeric_only=False)

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

Panel.cumprod(axis=None, skipna=True, *args, **kwargs)

Panel.bfill(axis=None, inplace=False, limit=None, downcast=None)