From 5a4e7d71000dfc4a27d6025af7d7008c25273389 Mon Sep 17 00:00:00 2001
From: Ivan Perez Avellaneda <80877217+iperezav@users.noreply.github.com>
Date: Tue, 30 Dec 2025 23:16:07 -0500
Subject: [PATCH] Fix typo in numpy.gradient.html documentation

DOC: Capitalized "single" in line 678 and add a point to the end of the sentence in line 693.

Line 678: <li><p>Single scalar to specify a sample distance for all dimensions.</p></li>
<li><p>N scalars to specify a constant sample distance for each dimension.

Line 693: <dt><strong>axis</strong><span class="classifier">None or int or tuple of ints, optional</span></dt><dd><p>Gradient is calculated only along the given axis or axes.
---
 2.4/reference/generated/numpy.gradient.html | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/2.4/reference/generated/numpy.gradient.html b/2.4/reference/generated/numpy.gradient.html
index 223d10c85..a5e1002c3 100644
--- a/2.4/reference/generated/numpy.gradient.html
+++ b/2.4/reference/generated/numpy.gradient.html
@@ -675,7 +675,7 @@ <h1>numpy.gradient<a class="headerlink" href="#numpy-gradient" title="Link to th
 <dt><strong>varargs</strong><span class="classifier">list of scalar or array, optional</span></dt><dd><p>Spacing between f values. Default unitary spacing for all dimensions.
 Spacing can be specified using:</p>
 <ol class="arabic simple">
-<li><p>single scalar to specify a sample distance for all dimensions.</p></li>
+<li><p>Single scalar to specify a sample distance for all dimensions.</p></li>
 <li><p>N scalars to specify a constant sample distance for each dimension.
 i.e. <em class="xref py py-obj">dx</em>, <em class="xref py py-obj">dy</em>, <em class="xref py py-obj">dz</em>, …</p></li>
 <li><p>N arrays to specify the coordinates of the values along each
@@ -690,7 +690,7 @@ <h1>numpy.gradient<a class="headerlink" href="#numpy-gradient" title="Link to th
 <dt><strong>edge_order</strong><span class="classifier">{1, 2}, optional</span></dt><dd><p>Gradient is calculated using N-th order accurate differences
 at the boundaries. Default: 1.</p>
 </dd>
-<dt><strong>axis</strong><span class="classifier">None or int or tuple of ints, optional</span></dt><dd><p>Gradient is calculated only along the given axis or axes
+<dt><strong>axis</strong><span class="classifier">None or int or tuple of ints, optional</span></dt><dd><p>Gradient is calculated only along the given axis or axes.
 The default (axis = None) is to calculate the gradient for all the axes
 of the input array. axis may be negative, in which case it counts from
 the last to the first axis.</p>
@@ -993,4 +993,4 @@ <h1>numpy.gradient<a class="headerlink" href="#numpy-gradient" title="Link to th
 
   </footer>
   </body>
-</html>
\ No newline at end of file
+</html>