# Python numpy.msort() 使用实例 The following are code examples for showing how to use . They are extracted from open source Python projects. You can vote up the examples you like or vote down the exmaples you don’t like. You can also save this page to your account.

Example 1

```def msort(a):
"""Returns a copy of an array sorted along the first axis.

Args:
a (cupy.ndarray): Array to be sorted.

Returns:
cupy.ndarray: Array of the same type and shape as ``a``.

.. note:
``cupy.msort(a)``, the CuPy counterpart of ``numpy.msort(a)``, is
equivalent to ``cupy.sort(a, axis=0)``.

.. seealso:: :func:`numpy.msort`

"""

# TODO(takagi): Support float16 and bool.
return sort(a, axis=0)

# TODO(okuta): Implement sort_complex ```

Example 2

```def msort(a):
"""
Return a copy of an array sorted along the first axis.

Parameters
----------
a : array_like
Array to be sorted.

Returns
-------
sorted_array : ndarray
Array of the same type and shape as `a`.

--------
sort

Notes
-----
``np.msort(a)`` is equivalent to  ``np.sort(a, axis=0)``.

"""
b = array(a, subok=True, copy=True)
b.sort(0)
return b ```

Example 3

```def msort(a):
"""
Return a copy of an array sorted along the first axis.

Parameters
----------
a : array_like
Array to be sorted.

Returns
-------
sorted_array : ndarray
Array of the same type and shape as `a`.

--------
sort

Notes
-----
``np.msort(a)`` is equivalent to  ``np.sort(a, axis=0)``.

"""
b = array(a, subok=True, copy=True)
b.sort(0)
return b ```

Example 4

```def msort(a):
"""
Return a copy of an array sorted along the first axis.

Parameters
----------
a : array_like
Array to be sorted.

Returns
-------
sorted_array : ndarray
Array of the same type and shape as `a`.

--------
sort

Notes
-----
``np.msort(a)`` is equivalent to  ``np.sort(a, axis=0)``.

"""
b = array(a, subok=True, copy=True)
b.sort(0)
return b ```

Example 5

```def msort(a):
"""
Return a copy of an array sorted along the first axis.

Parameters
----------
a : array_like
Array to be sorted.

Returns
-------
sorted_array : ndarray
Array of the same type and shape as `a`.

--------
sort

Notes
-----
``np.msort(a)`` is equivalent to  ``np.sort(a, axis=0)``.

"""
b = array(a, subok=True, copy=True)
b.sort(0)
return b ```

Example 6

```def msort(a):
"""
Return a copy of an array sorted along the first axis.

Parameters
----------
a : array_like
Array to be sorted.

Returns
-------
sorted_array : ndarray
Array of the same type and shape as `a`.

--------
sort

Notes
-----
``np.msort(a)`` is equivalent to  ``np.sort(a, axis=0)``.

"""
b = array(a, subok=True, copy=True)
b.sort(0)
return b ```

Example 7

```def msort(a):
"""
Return a copy of an array sorted along the first axis.

Parameters
----------
a : array_like
Array to be sorted.

Returns
-------
sorted_array : ndarray
Array of the same type and shape as `a`.