DataFrame.convert_objects(convert_dates=True, convert_numeric=False, convert_timedeltas=True, copy=True)

DataFrame.var(axis=None, skipna=None, level=None, ddof=1, numeric_only=None, **kwargs)

DatetimeIndex.is_monotonic_increasing return if the index is monotonic increasing (only equal

Series.filter(items=None, like=None, regex=None, axis=None)

Panel4D.mad(axis=None, skipna=None, level=None)

Panel4D.eq(other, axis=None)

Panel4D.set_value(*args, **kwargs)

EWM.mean(*args, **kwargs)

This is a short introduction to pandas, geared mainly for new users. You can see more complex recipes in the

Series.cat.remove_unused_categories(*args, **kwargs)