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normalize_axis_tuple(axis, ndim, argname=None, allow_duplicate=False)

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.

versionadded

Parameters

axis : int, iterable of int

The un-normalized index or indices of the axis.

ndim : int

The number of dimensions of the array that :None:None:`axis` should be normalized against.

argname : str, optional

A prefix to put before the error message, typically the name of the argument.

allow_duplicate : bool, optional

If False, the default, disallow an axis from being specified twice.

Raises

AxisError

If any axis provided is out of range

ValueError

If an axis is repeated

Returns

normalized_axes : tuple of int

The normalized axis index, such that :None:None:`0 <= normalized_axis < ndim`

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

See Also

normalize_axis_index

normalizing a single scalar axis

Examples

See :

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GitHub : /numpy/core/numeric.py#1341
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