pandas.read_table(filepath_or_buffer, sep='\t', delimiter=None, header='infer', names=None, index_col=None, usecols=None, squeeze=False, prefix=None

Index.argmin(axis=None)

Index.is_categorical()

Styler.highlight_min(subset=None, color='yellow', axis=0)

MultiIndex.is_type_compatible(kind)

DataFrame.to_csv(path_or_buf=None, sep=', ', na_rep='', float_format=None, columns=None, header=True, index=True, index_label=None, mode='w'

Panel4D.ndim Number of axes / array dimensions

Rolling.median(**kwargs)

Series.truncate(before=None, after=None, axis=None, copy=True)

Index.drop(labels, errors='raise')