MultiIndex.name = None

GroupBy.head(n=5)

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

DatetimeIndex.sortlevel(level=None, ascending=True, sort_remaining=None)

DataFrame.reindex_like(other, method=None, copy=True, limit=None, tolerance=None)

classmethod DataFrame.from_csv(path, header=0, sep=', ', index_col=0, parse_dates=True, encoding=None, tupleize_cols=False, infer_

Panel.pct_change(periods=1, fill_method='pad', limit=None, freq=None, **kwargs)

Index.argsort(*args, **kwargs)

pandas.to_datetime(*args, **kwargs)

CategoricalIndex.all(other=None)