我们从Python开源项目中，提取了以下7个代码示例，用于说明如何使用numpy.msort()。
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
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`. See Also -------- 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
