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Sorting by max of two columns in pandas

I have a DataFrame that includes two columns. The two columns have different data types.

What I want is to sort the DataFrame by the largest value of the 2 columns but I do not want the first column to be sorted before the second. I have attempted to sort the DataFrame by the second column first, and then by the first column but I am getting the error message: TypeError: unhashable type: 'list'. Can someone help me?

if pd.notnull(df['score']) and pd.notnull(df['grade']):

sc = df['score'].max()

gs = df['grade'].max()

df.sort_values(by=['grade','score'])

df = df.drop('score', 1)

A:

I think you can use.groupby for group by max values in columns and then sort_values:

df = df.sort_values(by=['grade','score'],ascending=[True,False])

Or:

df = df.sort_values(by=['grade','score'],ascending=[True,False])

df = df[['score','grade']].reset_index(drop=True)

df = df.sort_values(by=['score','grade'])

print (df)

score grade

0

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