numpy.lib.array_utils.normalize_axis_tuple#

lib.array_utils.normalize_axis_tuple(axis, ndim, argname=None, allow_duplicate=False)[source]#

Normalizes an axis argument into a tuple of non-negative integer axes.

This handles shorthands such as 1 and converts them to (1,), as well as performing the handling of negative indices covered by normalize_axis_index.

By default, this forbids axes from being specified multiple times.

Used internally by multi-axis-checking logic.

New in version 1.13.0.

Parameters:

axisint, iterable of int: The un-normalized index or indices of the axis.
ndimint: The number of dimensions of the array that axis should be normalized against.
argnamestr, optional: A prefix to put before the error message, typically the name of the argument.
allow_duplicatebool, optional: If False, the default, disallow an axis from being specified twice.

Returns:

normalized_axestuple of int: The normalized axis index, such that 0 <= normalized_axis < ndim

Raises:

AxisError: If any axis provided is out of range
ValueError: If an axis is repeated