From 494bdf82bf30b40175d148442b298498834d6027 Mon Sep 17 00:00:00 2001
From: Nikhil Choudhary <49715980+Nikhil1O1@users.noreply.github.com>
Date: Wed, 9 Sep 2020 08:38:18 +0530
Subject: [PATCH 1/5] Update groupby.rst

The previous description still had a conflict between the column name and index level
---
 doc/source/user_guide/groupby.rst | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/doc/source/user_guide/groupby.rst b/doc/source/user_guide/groupby.rst
index ddba3dc452e28..0b3c9a3ddd7f6 100644
--- a/doc/source/user_guide/groupby.rst
+++ b/doc/source/user_guide/groupby.rst
@@ -87,11 +87,10 @@ The mapping can be specified many different ways:
 * A Python function, to be called on each of the axis labels.
 * A list or NumPy array of the same length as the selected axis.
 * A dict or ``Series``, providing a ``label -> group name`` mapping.
-* For ``DataFrame`` objects, a string indicating a column to be used to group.
-  Of course ``df.groupby('A')`` is just syntactic sugar for
-  ``df.groupby(df['A'])``, but it makes life simpler.
-* For ``DataFrame`` objects, a string indicating an index level to be used to
-  group.
+* For ``DataFrame`` objects, a string indicating either a column name 
+  or an index level name to be used to group.
+* df.groupby('A') is just syntactic sugar for df.groupby(df['A']),
+  but it feels more pythonic.
 * A list of any of the above things.
 
 Collectively we refer to the grouping objects as the **keys**. For example,

From be560acb0c05cd6e5c3abcc0bfacaf85c3aa4161 Mon Sep 17 00:00:00 2001
From: Nikhil Choudhary <49715980+Nikhil1O1@users.noreply.github.com>
Date: Wed, 9 Sep 2020 09:20:57 +0530
Subject: [PATCH 2/5] Update groupby.rst

attempt to fix trailing white spaces
---
 doc/source/user_guide/groupby.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/source/user_guide/groupby.rst b/doc/source/user_guide/groupby.rst
index 0b3c9a3ddd7f6..e76d66e323b6b 100644
--- a/doc/source/user_guide/groupby.rst
+++ b/doc/source/user_guide/groupby.rst
@@ -87,8 +87,8 @@ The mapping can be specified many different ways:
 * A Python function, to be called on each of the axis labels.
 * A list or NumPy array of the same length as the selected axis.
 * A dict or ``Series``, providing a ``label -> group name`` mapping.
-* For ``DataFrame`` objects, a string indicating either a column name 
-  or an index level name to be used to group.
+* For ``DataFrame`` objects, a string indicating either a column name or
+an index level name to be used to group.
 * df.groupby('A') is just syntactic sugar for df.groupby(df['A']),
   but it feels more pythonic.
 * A list of any of the above things.

From 4bfd49b4c7aeba8c6f64e5162b9ac32f4bfcc6ec Mon Sep 17 00:00:00 2001
From: Nikhil Choudhary <49715980+Nikhil1O1@users.noreply.github.com>
Date: Wed, 9 Sep 2020 17:20:25 +0530
Subject: [PATCH 3/5] Update groupby.rst

indentations removed
---
 doc/source/user_guide/groupby.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/user_guide/groupby.rst b/doc/source/user_guide/groupby.rst
index e76d66e323b6b..4bb5273c27870 100644
--- a/doc/source/user_guide/groupby.rst
+++ b/doc/source/user_guide/groupby.rst
@@ -88,7 +88,7 @@ The mapping can be specified many different ways:
 * A list or NumPy array of the same length as the selected axis.
 * A dict or ``Series``, providing a ``label -> group name`` mapping.
 * For ``DataFrame`` objects, a string indicating either a column name or
-an index level name to be used to group.
+  an index level name to be used to group.
 * df.groupby('A') is just syntactic sugar for df.groupby(df['A']),
   but it feels more pythonic.
 * A list of any of the above things.

From 0043d1ed0063a4bdb7652918432452330e52bbf5 Mon Sep 17 00:00:00 2001
From: Nikhil Choudhary <49715980+Nikhil1O1@users.noreply.github.com>
Date: Wed, 9 Sep 2020 17:22:04 +0530
Subject: [PATCH 4/5] Update groupby.rst

backticks added
---
 doc/source/user_guide/groupby.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/user_guide/groupby.rst b/doc/source/user_guide/groupby.rst
index 4bb5273c27870..1cda18ffa6a82 100644
--- a/doc/source/user_guide/groupby.rst
+++ b/doc/source/user_guide/groupby.rst
@@ -89,7 +89,7 @@ The mapping can be specified many different ways:
 * A dict or ``Series``, providing a ``label -> group name`` mapping.
 * For ``DataFrame`` objects, a string indicating either a column name or
   an index level name to be used to group.
-* df.groupby('A') is just syntactic sugar for df.groupby(df['A']),
+* ``df.groupby('A')`` is just syntactic sugar for ``df.groupby(df['A'])``,
   but it feels more pythonic.
 * A list of any of the above things.
 

From 320c9ba36706cef333f9ed0f815b6a792f434ac1 Mon Sep 17 00:00:00 2001
From: Nikhil Choudhary <49715980+Nikhil1O1@users.noreply.github.com>
Date: Fri, 11 Sep 2020 11:43:42 +0530
Subject: [PATCH 5/5] DOC: Update groupby.rst

removed the vague description
---
 doc/source/user_guide/groupby.rst | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/doc/source/user_guide/groupby.rst b/doc/source/user_guide/groupby.rst
index 1cda18ffa6a82..f745dab00bab8 100644
--- a/doc/source/user_guide/groupby.rst
+++ b/doc/source/user_guide/groupby.rst
@@ -89,8 +89,7 @@ The mapping can be specified many different ways:
 * A dict or ``Series``, providing a ``label -> group name`` mapping.
 * For ``DataFrame`` objects, a string indicating either a column name or
   an index level name to be used to group.
-* ``df.groupby('A')`` is just syntactic sugar for ``df.groupby(df['A'])``,
-  but it feels more pythonic.
+* ``df.groupby('A')`` is just syntactic sugar for ``df.groupby(df['A'])``.
 * A list of any of the above things.
 
 Collectively we refer to the grouping objects as the **keys**. For example,