Series.align(other, join='outer', axis=None, level=None, copy=True, fill_value=None, method=None, limit=None, fill_axis=0, broadcast_axis=None)

Series.str.isspace()

first_name Optional. 30 characters or fewer.

ArgumentParser.add_argument(name or flags...[, action][, nargs][, const][, default][, type][, choices][, required][, help][, metavar][, dest])

statsmodels.genmod.families.links.inverse_squared class

statsmodels.discrete.discrete_model.ProbitResults.load

numpy.ma.choose(indices, choices, out=None, mode='raise')

Series.nsmallest(*args, **kwargs)

numpy.where(condition[, x, y]) Return elements, either from x or y, depending on condition

MaskedArray.__rsub__(other)