DOC: Adjust constants.rst

mtsokol · mtsokol · commit 04dd24dd27d3 · 2023-08-10T12:30:09.000+02:00
diff --git a/doc/source/reference/constants.rst b/doc/source/reference/constants.rst
@@ -60,14 +60,12 @@ NumPy includes several constants:
     Also that positive infinity is not equivalent to negative infinity. But
     infinity is equivalent to positive infinity.
 
-    `Inf`, `Infinity`, `PINF` and `infty` are aliases for `inf`.
-
     .. rubric:: Examples
 
     >>> np.inf
     inf
     >>> np.array([1]) / 0.
-    array([ Inf])
+    array([inf])
 
 
 .. data:: nan
@@ -97,9 +95,9 @@ NumPy includes several constants:
     >>> np.nan
     nan
     >>> np.log(-1)
-    nan
+    np.float64(nan)
     >>> np.log([-1, 1, 2])
-    array([        NaN,  0.        ,  0.69314718])
+    array([       nan, 0.        , 0.69314718])
 
 
 .. data:: newaxis
@@ -108,41 +106,41 @@ NumPy includes several constants:
 
     .. rubric:: Examples
 
-    >>> newaxis is None
+    >>> np.newaxis is None
     True
     >>> x = np.arange(3)
     >>> x
     array([0, 1, 2])
-    >>> x[:, newaxis]
+    >>> x[:, np.newaxis]
     array([[0],
     [1],
     [2]])
-    >>> x[:, newaxis, newaxis]
+    >>> x[:, np.newaxis, np.newaxis]
     array([[[0]],
     [[1]],
     [[2]]])
-    >>> x[:, newaxis] * x
+    >>> x[:, np.newaxis] * x
     array([[0, 0, 0],
     [0, 1, 2],
     [0, 2, 4]])
 
     Outer product, same as ``outer(x, y)``:
 
     >>> y = np.arange(3, 6)
-    >>> x[:, newaxis] * y
+    >>> x[:, np.newaxis] * y
     array([[ 0,  0,  0],
     [ 3,  4,  5],
     [ 6,  8, 10]])
 
-    ``x[newaxis, :]`` is equivalent to ``x[newaxis]`` and ``x[None]``:
+    ``x[np.newaxis, :]`` is equivalent to ``x[np.newaxis]`` and ``x[None]``:
 
-    >>> x[newaxis, :].shape
+    >>> x[np.newaxis, :].shape
     (1, 3)
-    >>> x[newaxis].shape
+    >>> x[np.newaxis].shape
     (1, 3)
     >>> x[None].shape
     (1, 3)
-    >>> x[:, newaxis].shape
+    >>> x[:, np.newaxis].shape
     (3, 1)
 
 
