Merge pull request #26382 from anntzer/h2dd

jklymak · web-flow · commit 5f650ddc67d2 · 2023-07-24T14:49:09.000-07:00
Tweak hist2d docstring.
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
@@ -7098,13 +7098,13 @@ def hist2d(self, x, y, bins=10, range=None, density=False, weights=None,
             The bin specification:
 
             - If int, the number of bins for the two dimensions
-              (nx=ny=bins).
+              (``nx = ny = bins``).
             - If ``[int, int]``, the number of bins in each dimension
-              (nx, ny = bins).
+              (``nx, ny = bins``).
             - If array-like, the bin edges for the two dimensions
-              (x_edges=y_edges=bins).
+              (``x_edges = y_edges = bins``).
             - If ``[array, array]``, the bin edges in each dimension
-              (x_edges, y_edges = bins).
+              (``x_edges, y_edges = bins``).
 
             The default value is 10.
 
@@ -7122,10 +7122,10 @@ def hist2d(self, x, y, bins=10, range=None, density=False, weights=None,
             An array of values w_i weighing each sample (x_i, y_i).
 
         cmin, cmax : float, default: None
-            All bins that has count less than *cmin* or more than *cmax* will
-            not be displayed (set to NaN before passing to imshow) and these
-            count values in the return value count histogram will also be set
-            to nan upon return.
+            All bins that has count less than *cmin* or more than *cmax* will not be
+            displayed (set to NaN before passing to `~.Axes.pcolormesh`) and these count
+            values in the return value count histogram will also be set to nan upon
+            return.
 
         Returns
         -------
