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@ -163,7 +163,7 @@ Now you can dig deeper into the data and learn what are the typical ingredients
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def create_ingredient_df(df):
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ingredient_df = df.T.drop(['cuisine','Unnamed: 0']).sum(axis=1).to_frame('value')
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ingredient_df = ingredient_df[(ingredient_df.T != 0).any()]
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ingredient_df = ingredient_df.sort_values(by='value', ascending=False
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ingredient_df = ingredient_df.sort_values(by='value', ascending=False,
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inplace=False)
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return ingredient_df
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```
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