From e3bed2ba88a04a2fb2db10a0f46b5a0ed2cc21c7 Mon Sep 17 00:00:00 2001
From: Brandon Lockhart <brandon_lockhart@sfu.ca>
Date: Wed, 31 Mar 2021 23:41:28 -0700
Subject: [PATCH] docs(clean): fix clean documentation

---
 dataprep/clean/clean_duplication.py             | 6 +++---
 docs/source/user_guide/clean/introduction.ipynb | 3 ++-
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/dataprep/clean/clean_duplication.py b/dataprep/clean/clean_duplication.py
index 31cae4226..ecce58ff7 100644
--- a/dataprep/clean/clean_duplication.py
+++ b/dataprep/clean/clean_duplication.py
@@ -40,11 +40,11 @@ def clean_duplication(
     Examples
     --------
 
-    >>> df = pd.DataFrame({'city': ['New York', 'new york']})
-    >>> clean_duplication(df, 'city')
-
+    After running clean_duplication(df, 'city') below in a notebook, a GUI will appear.
     Select the merge checkbox, press merge and re-cluster, then press finish.
 
+    >>> df = pd.DataFrame({'city': ['New York', 'new york']})
+    >>> clean_duplication(df, 'city')
           city
     0    New York
     1    New York
diff --git a/docs/source/user_guide/clean/introduction.ipynb b/docs/source/user_guide/clean/introduction.ipynb
index b73b70650..b3c31b703 100644
--- a/docs/source/user_guide/clean/introduction.ipynb
+++ b/docs/source/user_guide/clean/introduction.ipynb
@@ -32,6 +32,7 @@
     "\n",
     " * [Column Headers](clean_headers.ipynb)\n",
     " * [Country Names](clean_country.ipynb)\n",
+    " * [Dates and Times](clean_date.ipynb)\n",
     " * [Email Addresses](clean_email.ipynb)\n",
     " * [Geographic Goordinates](clean_lat_long.ipynb)\n",
     " * [IP Addresses](clean_ip.ipynb)\n",
@@ -58,7 +59,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7"
+   "version": "3.9.1"
   }
  },
  "nbformat": 4,