Repository: pandas-dev/pandas (python)

Issue:
DOC: Remove references to `AxesSubPlot`
### Pandas version checks

- [X] I have checked that the issue still exists on the latest versions of the docs on `main` [here](https://pandas.pydata.org/docs/dev/)


### Location of the documentation

https://pandas.pydata.org/docs/dev/reference/api/pandas.core.groupby.SeriesGroupBy.hist.html  (and other places)

### Documentation problem

`AxesSubplot` was removed from `matplotlib`, so we need to remove it from our docs.

See https://github.com/matplotlib/matplotlib/issues/18222/

### Suggested fix for documentation

Change the type from `AxesSubplot` in the docs to `Axes`


Pull request:
DOC: Remove references to AxesSubPlot #56876
resolve #56876 in pandas/plotting/_core.py

Patch:
diff --git a/doc/source/whatsnew/v2.3.0.rst b/doc/source/whatsnew/v2.3.0.rst
index 6c10710d6c..4ab55491c9 100644
--- a/doc/source/whatsnew/v2.3.0.rst
+++ b/doc/source/whatsnew/v2.3.0.rst
@@ -188,7 +188,7 @@ Plotting
 
 Groupby/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
--
+- Bug in :meth:`.DataFrameGroupBy.quantile` when ``interpolation="nearest"`` is inconsistent with :meth:`DataFrame.quantile` (:issue:`47942`)
 -
 
 Reshaping
diff --git a/pandas/_libs/groupby.pyx b/pandas/_libs/groupby.pyx
index 8f4dfd9dcb..dc8f13a919 100644
--- a/pandas/_libs/groupby.pyx
+++ b/pandas/_libs/groupby.pyx
@@ -1286,7 +1286,9 @@ def group_quantile(
                     elif interp == INTERPOLATION_MIDPOINT:
                         out[i, k] = (val + next_val) / 2.0
                     elif interp == INTERPOLATION_NEAREST:
-                        if frac > .5 or (frac == .5 and q_val > .5):  # Always OK?
+                        if frac > .5 or (frac == .5 and idx % 2 == 1):
+                            # If quantile lies in the middle of two indexes,
+                            # take the even index, as np.quantile.
                             out[i, k] = next_val
                         else:
                             out[i, k] = val
diff --git a/pandas/plotting/_core.py b/pandas/plotting/_core.py
index 9848ac00aa..0f15b2edc0 100644
--- a/pandas/plotting/_core.py
+++ b/pandas/plotting/_core.py
@@ -98,7 +98,7 @@ def hist_series(
 
     Returns
     -------
-    matplotlib.AxesSubplot
+    matplotlib.Axes
         A histogram plot.
 
     See Also
@@ -227,7 +227,7 @@ def hist_frame(
 
     Returns
     -------
-    matplotlib.AxesSubplot or numpy.ndarray of them
+    matplotlib.Axes or numpy.ndarray of them
 
     See Also
     --------
@@ -1374,7 +1374,7 @@ class PlotAccessor(PandasObject):
 
         Returns
         -------
-        class:`matplotlib.AxesSubplot`
+        class:`matplotlib.Axes`
             Return a histogram plot.
 
         See Also
@@ -1794,7 +1794,7 @@ class PlotAccessor(PandasObject):
 
         Returns
         -------
-        matplotlib.AxesSubplot
+        matplotlib.Axes
             The matplotlib ``Axes`` on which the hexbin is plotted.
 
         See Also


Test patch:
diff --git a/pandas/tests/groupby/methods/test_quantile.py b/pandas/tests/groupby/methods/test_quantile.py
index 361a8c27fb..1d2e639314 100644
--- a/pandas/tests/groupby/methods/test_quantile.py
+++ b/pandas/tests/groupby/methods/test_quantile.py
@@ -38,19 +38,7 @@ import pandas._testing as tm
     ],
 )
 @pytest.mark.parametrize("q", [0, 0.25, 0.5, 0.75, 1])
-def test_quantile(interpolation, a_vals, b_vals, q, request):
-    if (
-        interpolation == "nearest"
-        and q == 0.5
-        and isinstance(b_vals, list)
-        and b_vals == [4, 3, 2, 1]
-    ):
-        request.applymarker(
-            pytest.mark.xfail(
-                reason="Unclear numpy expectation for nearest "
-                "result with equidistant data"
-            )
-        )
+def test_quantile(interpolation, a_vals, b_vals, q):
     all_vals = pd.concat([pd.Series(a_vals), pd.Series(b_vals)])
 
     a_expected = pd.Series(a_vals).quantile(q, interpolation=interpolation)