Revert "Add 'color' and 'size' to arguments (pandas-dev#44856)" (pand…

…as-dev#49734)

* Revert "Add 'color' and 'size' to arguments (pandas-dev#44856)"

This reverts commit 8a4abfa.

# Conflicts:
#	doc/source/whatsnew/v1.5.0.rst
#	pandas/plotting/_core.py
#	pandas/tests/plotting/frame/test_frame_color.py

* Add whatsnew

doc/source/whatsnew/v1.5.0.rst

@@ -1155,7 +1155,6 @@ Plotting
 - Bug in :meth:`DataFrame.boxplot` that prevented passing in ``xlabel`` and ``ylabel`` (:issue:`45463`)
 - Bug in :meth:`DataFrame.boxplot` that prevented specifying ``vert=False`` (:issue:`36918`)
 - Bug in :meth:`DataFrame.plot.scatter` that prevented specifying ``norm`` (:issue:`45809`)
-- The function :meth:`DataFrame.plot.scatter` now accepts ``color`` as an alias for ``c`` and ``size`` as an alias for ``s`` for consistency to other plotting functions (:issue:`44670`)
 - Fix showing "None" as ylabel in :meth:`Series.plot` when not setting ylabel (:issue:`46129`)
 - Bug in :meth:`DataFrame.plot` that led to xticks and vertical grids being improperly placed when plotting a quarterly series (:issue:`47602`)
 - Bug in :meth:`DataFrame.plot` that prevented setting y-axis label, limits and ticks for a secondary y-axis (:issue:`47753`)

doc/source/whatsnew/v1.5.2.rst

@@ -34,7 +34,7 @@ Bug fixes
 
 Other
 ~~~~~
--
+- Reverted ``color`` as an alias for ``c`` and ``size`` as an alias for ``s`` in function :meth:`DataFrame.plot.scatter` (:issue:`49732`)
 -
 
 .. ---------------------------------------------------------------------------

pandas/plotting/_core.py

@@ -1630,11 +1630,6 @@ def scatter(self, x, y, s=None, c=None, **kwargs) -> PlotAccessor:
 
               .. versionchanged:: 1.1.0
 
-        size : str, scalar or array-like, optional
-            Alias for s.
-
-            .. versionadded:: 1.5.0
-
         c : str, int or array-like, optional
             The color of each point. Possible values are:
 
@@ -1648,10 +1643,6 @@ def scatter(self, x, y, s=None, c=None, **kwargs) -> PlotAccessor:
 
             - A column name or position whose values will be used to color the
               marker points according to a colormap.
-        color : str, int or array-like, optional
-            Alias for c.
-
-            .. versionadded:: 1.5.0
 
         **kwargs
             Keyword arguments to pass on to :meth:`DataFrame.plot`.

pandas/tests/plotting/frame/test_frame.py

@@ -1,3 +1,4 @@
+""" Test cases for DataFrame.plot """
 from datetime import (
     date,
     datetime,
@@ -652,11 +653,6 @@ def test_plot_scatter(self):
         with pytest.raises(TypeError, match=msg):
             df.plot.scatter(y="y")
 
-        with pytest.raises(TypeError, match="Specify exactly one of `s` and `size`"):
-            df.plot.scatter(x="x", y="y", s=2, size=2)
-        with pytest.raises(TypeError, match="Specify exactly one of `c` and `color`"):
-            df.plot.scatter(x="a", y="b", c="red", color="green")
-
         # GH 6951
         axes = df.plot(x="x", y="y", kind="scatter", subplots=True)
         self._check_axes_shape(axes, axes_num=1, layout=(1, 1))

pandas/tests/plotting/frame/test_frame_color.py

@@ -196,8 +196,7 @@ def test_if_scatterplot_colorbars_are_next_to_parent_axes(self):
         assert np.isclose(parent_distance, colorbar_distance, atol=1e-7).all()
 
     @pytest.mark.parametrize("cmap", [None, "Greys"])
-    @pytest.mark.parametrize("kw", ["c", "color"])
-    def test_scatter_with_c_column_name_with_colors(self, cmap, kw):
+    def test_scatter_with_c_column_name_with_colors(self, cmap):
         # https://github.com/pandas-dev/pandas/issues/34316
 
         df = DataFrame(
@@ -207,9 +206,9 @@ def test_scatter_with_c_column_name_with_colors(self, cmap, kw):
         df["species"] = ["r", "r", "g", "g", "b"]
         if cmap is not None:
             with tm.assert_produces_warning(UserWarning, check_stacklevel=False):
-                ax = df.plot.scatter(x=0, y=1, cmap=cmap, **{kw: "species"})
+                ax = df.plot.scatter(x=0, y=1, cmap=cmap, c="species")
         else:
-            ax = df.plot.scatter(x=0, y=1, cmap=cmap, **{kw: "species"})
+            ax = df.plot.scatter(x=0, y=1, c="species", cmap=cmap)
         assert ax.collections[0].colorbar is None
 
     def test_scatter_colors(self):