def values(self):
if self._is_legacy_format:
# for legacy MultiIndex
values = [np.asarray(lev).take(lab) for lev, lab in zip(self.levels, self.labels)]
return lib.fast_zip(values)
else:
return self.view(np.ndarray)
def values(self):
if self._is_legacy_format:
# for legacy MultiIndex
values = [np.asarray(lev).take(lab)
for lev, lab in zip(self.levels, self.labels)]
return lib.fast_zip(values)
else:
return self.view(np.ndarray)
def _get_compressed_labels(self):
all_labels = [ping.labels for ping in self.groupings]
if self._overflow_possible:
tups = lib.fast_zip(all_labels)
labs, uniques, _ = algos.factorize(tups)
if self.sort:
uniques, labs = _reorder_by_uniques(uniques, labs)
return labs, uniques
else:
if len(all_labels) > 1:
group_index = get_group_index(all_labels, self.shape)
else:
group_index = all_labels[0]
comp_ids, obs_group_ids = _compress_group_index(group_index)
return comp_ids, obs_group_ids
def __new__(cls, levels=None, labels=None, sortorder=None, names=None):
assert(len(levels) == len(labels))
if len(levels) == 0:
raise Exception('Must pass non-zero number of levels/labels')
if len(levels) == 1:
if names:
name = names[0]
else:
name = None
return Index(levels[0], name=name).take(labels[0])
levels = [_ensure_index(lev) for lev in levels]
labels = [np.asarray(labs, dtype=np.int32) for labs in labels]
values = [np.asarray(lev).take(lab)
for lev, lab in zip(levels, labels)]
subarr = lib.fast_zip(values).view(cls)
subarr.levels = levels
subarr.labels = labels
if names is None:
subarr.names = [None] * subarr.nlevels
else:
assert(len(names) == subarr.nlevels)
subarr.names = list(names)
# set the name
for i, name in enumerate(subarr.names):
subarr.levels[i].name = name
if sortorder is not None:
subarr.sortorder = int(sortorder)
else:
subarr.sortorder = sortorder
return subarr
def __new__(cls, levels=None, labels=None, sortorder=None, names=None):
assert len(levels) == len(labels)
if len(levels) == 0:
raise Exception("Must pass non-zero number of levels/labels")
if len(levels) == 1:
if names:
name = names[0]
else:
name = None
return Index(levels[0], name=name).take(labels[0])
levels = [_ensure_index(lev) for lev in levels]
labels = [np.asarray(labs, dtype=np.int32) for labs in labels]
values = [np.asarray(lev).take(lab) for lev, lab in zip(levels, labels)]
subarr = lib.fast_zip(values).view(cls)
subarr.levels = levels
subarr.labels = labels
if names is None:
subarr.names = [None] * subarr.nlevels
else:
assert len(names) == subarr.nlevels
subarr.names = list(names)
# set the name
for i, name in enumerate(subarr.names):
subarr.levels[i].name = name
if sortorder is not None:
subarr.sortorder = int(sortorder)
else:
subarr.sortorder = sortorder
return subarr
def values(self):
values = [np.asarray(lev).take(lab)
for lev, lab in zip(self.levels, self.labels)]
return lib.fast_zip(values)