DOC: fix desceiption of vmin/vmax in scatter

matplotlib · Jan 22, 2020 · ef693bb · ef693bb
1 parent 63cbb60
commit ef693bb
Showing 1 changed file with 6 additions and 6 deletions.
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
@@ -4323,14 +4323,14 @@ def scatter(self, x, y, s=None, c=None, marker=None, cmap=None, norm=None,
             used if *c* is an array of floats.
 
         norm : `~matplotlib.colors.Normalize`, default: None
-            A `.Normalize` instance is used to scale luminance data to 0, 1.
-            *norm* is only used if *c* is an array of floats. If *None*, use
-            the default `.colors.Normalize`.
+            If *c* is an array of floats, *norm* is used to scale the color
+            data, *c*, from 0 to 1, into order to map into the colormap *cmap*.
+            If *None*, use the default `.colors.Normalize`.
 
         vmin, vmax : scalar, default: None
-            *vmin* and *vmax* are used in conjunction with *norm* to normalize
-            luminance data. If None, the respective min and max of the color
-            array is used.
+            *vmin* and *vmax* are used in conjunction with the default norm to
+            map the color array (*c) to the colormap (*cmap*). If None, the
+            respective min and max of the color array is used.
             It is deprecated to use *vmin*/*vmax* when *norm* is given.
 
         alpha : scalar, default: None