[GitHub] [incubator-mxnet] haojin2 commented on a change in pull request #15377: [numpy][doc-fix] zeros_like, linspace, reciprocal, square, and arcsin

[GitBox <gi...@apache.org>]

haojin2 commented on a change in pull request #15377: [numpy][doc-fix] zeros_like, linspace, reciprocal, square, and arcsin
URL: https://github.com/apache/incubator-mxnet/pull/15377#discussion_r298885287
 
 

 ##########
 File path: python/mxnet/_numpy_op_doc.py
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 @@ -87,6 +90,41 @@ def _np_zeros_like(a):
     -------
     out : ndarray
         Array of zeros with the same shape and type as `a`.
+
+
+    See Also
+    --------
+    empty_like : Return an empty array with shape and type of input.
+    ones_like : Return an array of ones with shape and type of input.
+    full_like : Return a new array with shape of input filled with value.
+    zeros : Return a new array setting values to zero.
+
+    Examples
+    --------
+    >>> x = np.arange(6)
+    >>> x = x.reshape((2, 3))
+    >>> x
+    array([[0., 1., 2.],
+           [3., 4., 5.]])
+    >>> np.zeros_like(x)
+    array([[0., 0., 0.],
+           [0., 0., 0.]])
+    >>> y = np.arange(3)
+    >>> y
+    array([0., 1., 2.])
+    >>> np.zeros_like(y)
+    array([0., 0., 0.])
+
+    Notes
+    -----
+    The output `ndarray` has the same `ctx` as the input `ndarray`.
+
+    This function differs from the original `numpy.zeros_like
+    <https://docs.scipy.org/doc/numpy/reference/generated/numpy.zeros_like.html>`_ in
+    the following aspects:
+
+    - The parameter `dtype` and `subok` are not supported now.
+    - Only row-major is supported.
 
 Review comment:
   "Only 'C' order is supported."

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