DOC: Fix some incorrectly formatted documents (numpy#24287)

Fix rst formatting to correct rendered html

Author: Yuki K

doc/source/reference/c-api/array.rst

@@ -1630,8 +1630,8 @@ Conversion
     <https://docs.python.org/3/c-api/intro.html?reference-count-details>`_
     to `PyArray_Descr` and returns a new array of the given `dtype` using
     the data in the current array at a specified `offset` in bytes. The
-    `offset` plus the itemsize of the new array type must be less than ``self
-    ->descr->elsize`` or an error is raised. The same shape and strides
+    `offset` plus the itemsize of the new array type must be less than
+    ``self->descr->elsize`` or an error is raised. The same shape and strides
     as the original array are used. Therefore, this function has the
     effect of returning a field from a structured array. But, it can also
     be used to select specific bytes or groups of bytes from any array

doc/source/user/how-to-index.rst

@@ -193,13 +193,13 @@ Non-zero elements
 Use :meth:`nonzero` to get a tuple of array indices of non-zero elements 
 corresponding to every dimension::
 
-	>>> z = np.array([[1, 2, 3, 0], [0, 0, 5, 3], [4, 6, 0, 0]])
-       >>> z
-       array([[1, 2, 3, 0],
-              [0, 0, 5, 3],
-              [4, 6, 0, 0]])
-       >>> np.nonzero(z)
-       (array([0, 0, 0, 1, 1, 2, 2]), array([0, 1, 2, 2, 3, 0, 1]))
+    >>> z = np.array([[1, 2, 3, 0], [0, 0, 5, 3], [4, 6, 0, 0]])
+    >>> z
+    array([[1, 2, 3, 0],
+           [0, 0, 5, 3],
+           [4, 6, 0, 0]])
+    >>> np.nonzero(z)
+    (array([0, 0, 0, 1, 1, 2, 2]), array([0, 1, 2, 2, 3, 0, 1]))
 
 Use :meth:`flatnonzero` to fetch indices of elements that are non-zero in
 the flattened version of the ndarray::

doc/source/user/how-to-io.rst

@@ -96,7 +96,7 @@ Whitespace-delimited
 :func:`numpy.genfromtxt` can also parse whitespace-delimited data files
 that have missing values if
 
-* **Each field has a fixed width**: Use the width as the `delimiter` argument.
+* **Each field has a fixed width**: Use the width as the `delimiter` argument.::
 
     # File with width=4. The data does not have to be justified (for example,
     # the 2 in row 1), the last column can be less than width (for example, the 6
@@ -154,7 +154,7 @@ that have missing values if
 * **The delimiter whitespace character is different from the whitespace that
   indicates missing data**. For instance, if columns are delimited by ``\t``,
   then missing data will be recognized if it consists of one
-  or more spaces.
+  or more spaces.::
 
     >>> with open("tabs.txt", "r") as f:
     ...    data = (f.read())

numpy/lib/index_tricks.py

@@ -225,7 +225,8 @@ class MGridClass(nd_grid):
 
     Returns
     -------
-    mesh-grid `ndarrays` all of the same dimensions
+    mesh-grid
+        `ndarrays` all of the same dimensions
 
     See Also
     --------