From 42abe3c5d6a1b99b4460998249d7b12cd5b4f0e5 Mon Sep 17 00:00:00 2001
From: Emmanuelle Gouillart <emma@plot.ly>
Date: Tue, 4 Feb 2020 22:19:05 -0500
Subject: [PATCH] fixed pandas 1.0 pb in sunburst/treemap example

---
 doc/python/sunburst-charts.md | 4 ++--
 doc/python/treemaps.md        | 8 ++++----
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/doc/python/sunburst-charts.md b/doc/python/sunburst-charts.md
index 69f89133c35..26ad08fbf1a 100644
--- a/doc/python/sunburst-charts.md
+++ b/doc/python/sunburst-charts.md
@@ -5,7 +5,7 @@ jupyter:
     text_representation:
       extension: .md
       format_name: markdown
-      format_version: "1.2"
+      format_version: '1.2'
       jupytext_version: 1.3.0
   kernelspec:
     display_name: Python 3
@@ -314,7 +314,7 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None):
     df_all_trees = pd.DataFrame(columns=['id', 'parent', 'value', 'color'])
     for i, level in enumerate(levels):
         df_tree = pd.DataFrame(columns=['id', 'parent', 'value', 'color'])
-        dfg = df.groupby(levels[i:]).sum(numerical_only=True)
+        dfg = df.groupby(levels[i:]).sum()
         dfg = dfg.reset_index()
         df_tree['id'] = dfg[level].copy()
         if i < len(levels) - 1:
diff --git a/doc/python/treemaps.md b/doc/python/treemaps.md
index 36dd866e008..e399ce07163 100644
--- a/doc/python/treemaps.md
+++ b/doc/python/treemaps.md
@@ -5,8 +5,8 @@ jupyter:
     text_representation:
       extension: .md
       format_name: markdown
-      format_version: "1.2"
-      jupytext_version: 1.3.1
+      format_version: '1.2'
+      jupytext_version: 1.3.0
   kernelspec:
     display_name: Python 3
     language: python
@@ -20,7 +20,7 @@ jupyter:
     name: python
     nbconvert_exporter: python
     pygments_lexer: ipython3
-    version: 3.6.8
+    version: 3.7.3
   plotly:
     description: How to make Treemap Charts with Plotly
     display_as: basic
@@ -266,7 +266,7 @@ def build_hierarchical_dataframe(df, levels, value_column, color_columns=None):
     df_all_trees = pd.DataFrame(columns=['id', 'parent', 'value', 'color'])
     for i, level in enumerate(levels):
         df_tree = pd.DataFrame(columns=['id', 'parent', 'value', 'color'])
-        dfg = df.groupby(levels[i:]).sum(numerical_only=True)
+        dfg = df.groupby(levels[i:]).sum()
         dfg = dfg.reset_index()
         df_tree['id'] = dfg[level].copy()
         if i < len(levels) - 1: