4.7.7.1.2.2. statsmodels.tools.grouputils.GroupSorted

class statsmodels.tools.grouputils.GroupSorted(group, name='')[source]
__init__(group, name='')[source]

4.7.7.1.2.2.1. Methods

__init__(group[, name])
counts()
dummy([drop_idx, sparse, dtype]) drop_idx is only available if sparse=False
group_demean(x[, use_bincount])
group_iter()
group_sums(x[, use_bincount])
interaction(other)
labels()
lag_indices(lag) return the index array for lagged values