Minor fix

Impaler343 · Impaler343 · commit f6110d5622a8 · 2024-06-05T15:41:29.000+05:30
diff --git a/doc/users/next_whats_new/histogram_vectorized_parameters.rst b/doc/users/next_whats_new/histogram_vectorized_parameters.rst
@@ -11,9 +11,10 @@ be achieved by passing a list of colors to the ``color`` parameter.
 .. plot::
     :include-source: true
     :alt: Three charts, identified as ax1, ax2 and ax3, show a stacking of three
-    histograms representing Poisson distributions. The histograms in ax1, ax2, and ax3
-    are differentiated by linewidths, hatches and linestyles, respectively. In ax1, ax2
-    and ax3, each histogram is bordered by a different color.
+          histograms representing Poisson distributions. The histograms in ax1, ax2,
+          and ax3 are differentiated by linewidths, hatches and linestyles,
+          respectively. In ax1, ax2 and ax3, each histogram is bordered by a different
+          color.
 
     import matplotlib.pyplot as plt
     import numpy as np
diff --git a/galleries/examples/statistics/histogram_multihist.py b/galleries/examples/statistics/histogram_multihist.py
@@ -108,7 +108,7 @@
 
 # %%
 # Histograms with LineStyles
-# ...........................
+# ..........................
 
 fig, ax = plt.subplots()
 
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
@@ -7214,18 +7214,18 @@ def hist(self, x, bins=None, range=None, density=False, weights=None,
         # cast each element to str, but keep a single str as it.
         labels = [] if label is None else np.atleast_1d(np.asarray(label, str))
 
-        cyc = mpl.rcParams['axes.prop_cycle'].by_key()['color']
-
         hatches = itertools.cycle(np.atleast_1d(kwargs.get('hatch', None)))
         if histtype.startswith('bar') or histtype == 'stepfilled':
             edgecolors = itertools.cycle(np.atleast_1d(kwargs.get('edgecolor', None)))
         else:
-            edgecolors = itertools.cycle(np.atleast_1d(kwargs.get('edgecolor', cyc)))
+            edgecolors = itertools.cycle(np.atleast_1d(kwargs.get('edgecolor',
+                                                                  colors)))
         if histtype.startswith('bar'):
             facecolors = itertools.cycle(np.atleast_1d(kwargs.get('facecolor',
                                                                   colors)))
         else:
-            facecolors = itertools.cycle(np.atleast_1d(kwargs.get('facecolor', cyc)))
+            facecolors = itertools.cycle(np.atleast_1d(kwargs.get('facecolor',
+                                                                  colors)))
         linewidths = itertools.cycle(np.atleast_1d(kwargs.get('linewidth', None)))
         linestyles = itertools.cycle(np.atleast_1d(kwargs.get('linestyle', None)))
 
