def take(self,
indexer,
axis: int = 1,
verify: bool = True,
convert: bool = True):
"""
Take items along any axis.
"""
axis = self._normalize_axis(axis)
indexer = (np.arange(
indexer.start, indexer.stop, indexer.step, dtype="int64")
if isinstance(indexer, slice) else np.asanyarray(
indexer, dtype="int64"))
n = self.shape_proper[axis]
if convert:
indexer = maybe_convert_indices(indexer, n)
if verify:
if ((indexer == -1) | (indexer >= n)).any():
raise Exception(
"Indices must be nonzero and less than the axis length")
new_labels = self._axes[axis].take(indexer)
return self._reindex_indexer(new_axis=new_labels,
indexer=indexer,
axis=axis,
allow_dups=True)
def take(
self: T,
indexer,
axis: int = 1,
verify: bool = True,
convert_indices: bool = True,
) -> T:
"""
Take items along any axis.
"""
axis = self._normalize_axis(axis)
indexer = (np.arange(
indexer.start, indexer.stop, indexer.step, dtype="int64")
if isinstance(indexer, slice) else np.asanyarray(
indexer, dtype="int64"))
if not indexer.ndim == 1:
raise ValueError("indexer should be 1-dimensional")
n = self.shape_proper[axis]
if convert_indices:
indexer = maybe_convert_indices(indexer, n, verify=verify)
new_labels = self._axes[axis].take(indexer)
return self._reindex_indexer(new_axis=new_labels,
indexer=indexer,
axis=axis,
allow_dups=True)