diff --git a/.clang-format b/.clang-format
new file mode 100644
index 0000000000000..e69de29bb2d1d
diff --git a/doc/source/user_guide/visualization.rst b/doc/source/user_guide/visualization.rst
index fdceaa5868cec..9e1b08879b098 100644
--- a/doc/source/user_guide/visualization.rst
+++ b/doc/source/user_guide/visualization.rst
@@ -1628,3 +1628,19 @@ when plotting a large number of points.
    :suppress:
 
     plt.close('all')
+
+Examples
+~~~~~~~~
+
+In order to understand how two variables are correlated, the best fit line
+is a good way. You can use ``seaborn.lmplot()`` method that combines ``regplot()``
+and ``FacetGrid`` to plot data and regression model fits across a FacetGrid.
+
+.. ipython:: python
+    :suppress:
+
+    import seaborn as sns
+    df4 = pd.DataFrame({'a': np.random.randn(100) + 1, 'b': np.random.randn(100),
+                       'c': np.random.randn(100) - 1}, columns=['a', 'b', 'c'])
+
+    sns.lmplot(x="a", y="b", data=df4)
diff --git a/pandas/core/series.py b/pandas/core/series.py
index c891298d6e499..6ea8f6db60e92 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -4165,12 +4165,10 @@ def rename(self, index=None, **kwargs):
         """
         kwargs["inplace"] = validate_bool_kwarg(kwargs.get("inplace", False), "inplace")
 
-        non_mapping = is_scalar(index) or (
-            is_list_like(index) and not is_dict_like(index)
-        )
-        if non_mapping:
+        if callable(index) or is_dict_like(index):
+            return super().rename(index=index, **kwargs)
+        else:
             return self._set_name(index, inplace=kwargs.get("inplace"))
-        return super().rename(index=index, **kwargs)
 
     @Substitution(**_shared_doc_kwargs)
     @Appender(generic.NDFrame.reindex.__doc__)
diff --git a/pandas/io/parquet.py b/pandas/io/parquet.py
index 6fc70e9f4a737..86196b50c4726 100644
--- a/pandas/io/parquet.py
+++ b/pandas/io/parquet.py
@@ -269,6 +269,10 @@ def read_parquet(path, engine="auto", columns=None, **kwargs):
         expected. A local file could be:
         ``file://localhost/path/to/table.parquet``.
 
+        A file path can also be a directory name that contains multiple(partitioned)
+        parquet files (in addition to single file path). A directory path could be:
+        ``directory://usr/path/to/folder``.
+
         If you want to pass in a path object, pandas accepts any
         ``os.PathLike``.