From e813683a7726f6f7f7d3a855458d0b341dc4cc50 Mon Sep 17 00:00:00 2001
From: Jen Looper <jen.looper@gmail.com>
Date: Wed, 4 Aug 2021 21:34:22 -0400
Subject: [PATCH] fixing a missing comma

---
 4-Classification/1-Introduction/translations/README.zh-cn.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/4-Classification/1-Introduction/translations/README.zh-cn.md b/4-Classification/1-Introduction/translations/README.zh-cn.md
index ae8d123b1..df585e3f5 100644
--- a/4-Classification/1-Introduction/translations/README.zh-cn.md
+++ b/4-Classification/1-Introduction/translations/README.zh-cn.md
@@ -158,7 +158,7 @@ Scikit-learn项目提供多种对数据进行分类的算法，你需要根据
     def create_ingredient_df(df):
         ingredient_df = df.T.drop(['cuisine','Unnamed: 0']).sum(axis=1).to_frame('value')
         ingredient_df = ingredient_df[(ingredient_df.T != 0).any()]
-        ingredient_df = ingredient_df.sort_values(by='value', ascending=False
+        ingredient_df = ingredient_df.sort_values(by='value', ascending=False,
         inplace=False)
         return ingredient_df
     ```