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Hello everyone , I'm Pippi .
A few days ago Python The strongest King exchange group 【 Chen Ma Chen Cheng 】 Asked a question Pandas Issues dealt with , As shown in the figure below .

The raw data are as follows :
df = pd.DataFrame({
'student_id': ['S001','S002','S003'],
'marks': [[88,89,90],[78,81,60],[84,83,91]]})
dfThe expected results are shown in the following figure :

here 【 Mr. Yu Liang 】 Give a feasible code , We met later , You can modify it accordingly , Yield twice the result with half the effort , The code is as follows :
df['dmean'] = df['marks'].map(lambda x: np.mean(x))After running , The result is what you want .

later 【 Mr. Yu Liang 】 Another optimized code is given as follows :
df['dmean'] = df['marks'].map(np.mean)
perhaps
df['dmean'] = df['marks'].apply(np.mean)After running , The result is what you want .

It perfectly solves the problem of fans !

Hello everyone , I'm Pippi . This article mainly reviews the use of Pandas Dealing with data , In this paper, the specific analysis and code implementation are given , There are two ways , Help the fans solve the problem smoothly .
Finally, thank the fans 【 Chen Ma Chen Cheng 】 put questions to , thank 【 Luna 】、【 Mr. Yu Liang 】 Given the idea and code analysis , thank 【dcpeng】 And others participate in learning and communication .
friends , Practice it quickly ! If in the process of learning , Any problems encountered , Welcome to add my friend , I'll pull you in Python The learning exchange group discusses learning together .

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