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我有一個2個數據框 用於打分學生分數的單一分數卡 Second One-Student數據集。引用列表中的列表
我想在給定的學生數據集上應用記分卡來計算分數並聚合它們。我試圖devlop一個通用的函數,它的 記分卡,適用於任何studentmarks數據集
import pandas as pd
score_card_data = {
'subject_id': ['MATHS', 'SCIENCE', 'ARTS'],
'bin_list': [[0,25,50,75,100], [0,20,40,60,80,100], [0,20,40,60,80,100]],
'bin_value': [[1,2,3,4], [1,2,3,4,5], [3,4,5,6,7] ]}
score_card_data = pd.DataFrame(score_card_data, columns = ['subject_id', 'bin_list', 'bin_value'])
score_card_data
student_scores = {
'STUDENT_ID': ['S1', 'S2', 'S3','S4','S5'],
'MATH_MARKS': [10,15,25,65,75],
'SCIENCE_MARKS': [8,15,20,35,85],
'ARTS_MARKS':[55,90,95,88,99]}
student_scores = pd.DataFrame(student_scores, columns = ['STUDENT_ID', 'MATH_MARKS', 'SCIENCE_MARKS','ARTS_MARKS'])
student_scores
功能 定義箱 應用垃圾箱超過列
bins = list(score_card_data.loc[score_card_data['subject_id'] == 'MATHS', 'bin_list'])
student_scores['MATH_SCORE'] = pd.cut(student_scores['MATH_MARKS'],bins, labels='MATHS_MARKS')
Error:ValueError: object too deep for desired array
我想將cellvalue轉換爲字符串,並將其作爲對象進行檢測。任何方式來解決
如何使該功能更通用?
感謝 帕裏