Fix casing of RGB(A)

oscargus · oscargus · commit b5de52349bb3 · 2023-03-07T12:33:32.000+01:00
diff --git a/lib/matplotlib/cm.py b/lib/matplotlib/cm.py
@@ -426,17 +426,17 @@ def _scale_norm(self, norm, vmin, vmax):
 
     def to_rgba(self, x, alpha=None, bytes=False, norm=True):
         """
-        Return a normalized rgba array corresponding to *x*.
+        Return a normalized RGBA array corresponding to *x*.
 
         In the normal case, *x* is a 1D or 2D sequence of scalars, and
-        the corresponding `~numpy.ndarray` of rgba values will be returned,
+        the corresponding `~numpy.ndarray` of RGBA values will be returned,
         based on the norm and colormap set for this ScalarMappable.
 
         There is one special case, for handling images that are already
-        rgb or rgba, such as might have been read from an image file.
+        RGB or RGBA, such as might have been read from an image file.
         If *x* is an `~numpy.ndarray` with 3 dimensions,
         and the last dimension is either 3 or 4, then it will be
-        treated as an rgb or rgba array, and no mapping will be done.
+        treated as an RGB or RGBA array, and no mapping will be done.
         The array can be uint8, or it can be floating point with
         values in the 0-1 range; otherwise a ValueError will be raised.
         If it is a masked array, the mask will be ignored.
@@ -446,9 +446,9 @@ def to_rgba(self, x, alpha=None, bytes=False, norm=True):
         replace the preexisting alpha.  A ValueError will be raised
         if the third dimension is other than 3 or 4.
 
-        In either case, if *bytes* is *False* (default), the rgba
+        In either case, if *bytes* is *False* (default), the RGBA
         array will be floats in the 0-1 range; if it is *True*,
-        the returned rgba array will be uint8 in the 0 to 255 range.
+        the returned RGBA array will be uint8 in the 0 to 255 range.
 
         If norm is False, no normalization of the input data is
         performed, and it is assumed to be in the range (0-1).
diff --git a/lib/matplotlib/contour.py b/lib/matplotlib/contour.py
@@ -107,7 +107,7 @@ def clabel(self, levels=None, *,
             - If one string color, e.g., *colors* = 'r' or *colors* =
               'red', all labels will be plotted in this color.
 
-            - If a tuple of colors (string, float, rgb, etc), different labels
+            - If a tuple of colors (string, float, RGB, etc), different labels
               will be plotted in different colors in the order specified.
 
         inline : bool, default: True
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
@@ -781,7 +781,7 @@ def set_interpolation_stage(self, s):
         Parameters
         ----------
         s : {'data', 'rgba'} or None
-            Whether to apply up/downsampling interpolation in data or rgba
+            Whether to apply up/downsampling interpolation in data or RGBA
             space.
         """
         if s is None:
diff --git a/lib/matplotlib/texmanager.py b/lib/matplotlib/texmanager.py
@@ -346,7 +346,7 @@ def get_grey(cls, tex, fontsize=None, dpi=None):
     @classmethod
     def get_rgba(cls, tex, fontsize=None, dpi=None, rgb=(0, 0, 0)):
         r"""
-        Return latex's rendering of the tex string as an rgba array.
+        Return latex's rendering of the tex string as an RGBA array.
 
         Examples
         --------
diff --git a/lib/mpl_toolkits/mplot3d/axes3d.py b/lib/mpl_toolkits/mplot3d/axes3d.py
@@ -2676,12 +2676,12 @@ def voxels(self, *args, facecolors=None, edgecolors=None, shade=True,
             These parameters can be:
 
             - A single color value, to color all voxels the same color. This
-              can be either a string, or a 1D rgb/rgba array
+              can be either a string, or a 1D RGB/RGBA array
             - ``None``, the default, to use a single color for the faces, and
               the style default for the edges.
             - A 3D `~numpy.ndarray` of color names, with each item the color
               for the corresponding voxel. The size must match the voxels.
-            - A 4D `~numpy.ndarray` of rgb/rgba data, with the components
+            - A 4D `~numpy.ndarray` of RGB/RGBA data, with the components
               along the last axis.
 
         shade : bool, default: True
