fix docstrings

mindspore/numpy/array_creations.py

@@ -1296,13 +1296,13 @@ def meshgrid(*xi, sparse=False, indexing='xy'):
         [[0.  0.5 1. ]
         [0.  0.5 1. ]]
         >>> print(yv)
-        [[0.  0.  0.],
+        [[0.  0.  0.]
         [1.  1.  1.]]
         >>> xv, yv = np.meshgrid(x, y, sparse=True)
         >>> print(xv)
         [[0.  0.5  1. ]]
         >>> print(yv)
-        [[0.],
+        [[0.]
         [1.]
     """
     _check_input_tensor(*xi)
@@ -1409,6 +1409,7 @@ class mGridClass(nd_grid):
     stop values, where the stop value is inclusive.
 
     Note:
+        Not supported in graph mode.
         Unlike Numpy, if the step length is a complex number with a real
         component, the step length is handled as equivalent to
         ``int(abs(step))``.
@@ -1456,6 +1457,7 @@ class oGridClass(nd_grid):
     stop values, where the stop value is inclusive.
 
     Note:
+        Not supported in graph mode.
         Unlike Numpy, if the step length is a complex number with a real
         component, the step length is handled as equivalent to
         ``int(abs(step))``.

mindspore/numpy/array_ops.py

@@ -689,7 +689,6 @@ def where(condition, x=None, y=None):
         [[[7 5]
         [7 5]
         [7 5]]
-
         [[7 5]
         [7 5]
         [7 5]]]

mindspore/numpy/math_ops.py

@@ -450,9 +450,9 @@ def power(x1, x2, dtype=None):
         >>> x2 = np.full((3, 2), [3, 4]).astype('float32')
         >>> output = np.power(x1, x2)
         >>> print(output)
-        [[ 1 16]
-        [ 1 16]
-        [ 1 16]]
+        [[ 1. 16.]
+        [ 1. 16.]
+        [ 1. 16.]]
     """
     return _apply_tensor_op(F.tensor_pow, x1, x2, dtype=dtype)