CategoricalIndex.difference(other)

Panel4D.abs()

Panel4D.to_excel(*args, **kwargs)

DataFrame.prod(axis=None, skipna=None, level=None, numeric_only=None, **kwargs)

DataFrame.eval(expr, inplace=None, **kwargs)

DataFrame.to_excel(excel_writer, sheet_name='Sheet1', na_rep='', float_format=None, columns=None, header=True, index=True, index_label=None

DataFrame.sortlevel(level=0, axis=0, ascending=True, inplace=False, sort_remaining=True)

DataFrame.describe(percentiles=None, include=None, exclude=None)

DataFrame.clip_upper(threshold, axis=None)

The easiest way for the majority of users to install pandas is to install it as part of the