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Module « numpy.matlib »

Fonction expand_dims - module numpy.matlib

Signature de la fonction expand_dims

def expand_dims(a, axis) 

Description

help(numpy.matlib.expand_dims)

Expand the shape of an array.

Insert a new axis that will appear at the `axis` position in the expanded
array shape.

Parameters
----------
a : array_like
    Input array.
axis : int or tuple of ints
    Position in the expanded axes where the new axis (or axes) is placed.

    .. deprecated:: 1.13.0
        Passing an axis where ``axis > a.ndim`` will be treated as
        ``axis == a.ndim``, and passing ``axis < -a.ndim - 1`` will
        be treated as ``axis == 0``. This behavior is deprecated.

Returns
-------
result : ndarray
    View of `a` with the number of dimensions increased.

See Also
--------
squeeze : The inverse operation, removing singleton dimensions
reshape : Insert, remove, and combine dimensions, and resize existing ones
atleast_1d, atleast_2d, atleast_3d

Examples
--------
>>> import numpy as np
>>> x = np.array([1, 2])
>>> x.shape
(2,)

The following is equivalent to ``x[np.newaxis, :]`` or ``x[np.newaxis]``:

>>> y = np.expand_dims(x, axis=0)
>>> y
array([[1, 2]])
>>> y.shape
(1, 2)

The following is equivalent to ``x[:, np.newaxis]``:

>>> y = np.expand_dims(x, axis=1)
>>> y
array([[1],
       [2]])
>>> y.shape
(2, 1)

``axis`` may also be a tuple:

>>> y = np.expand_dims(x, axis=(0, 1))
>>> y
array([[[1, 2]]])

>>> y = np.expand_dims(x, axis=(2, 0))
>>> y
array([[[1],
        [2]]])

Note that some examples may use ``None`` instead of ``np.newaxis``.  These
are the same objects:

>>> np.newaxis is None
True

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