如何向 orig_diff 添加“main_category”列,该列将指示子类别属于哪个主类别。例如,值为“电影”的 orig_df 必须将“main_category”设置为“娱乐”,将“数学”设置为“教育”。
import pandas as pd
import numpy as np
orig_df = pd.DataFrame({"sub_cat" : ["Movie", "Science", "Maths", "Music", "Songs", "Dance", "English", "Maths", "Songs"], "Student": ["Stud1", "Stud2", "Stud3", "Stud4", "Stud5", "Stud6", "Stud7", "Sud8", "Stud9"]})
sub_df = pd.DataFrame({"Education": [0,1,1,0,0,0,1], "Entertainment": [1,0,0,1,1,1,0]}, index=["Movie", "Science", "Maths", "Music", "Songs", "Dance", "English"])
print(orig_df)
print(sub_df)
最佳答案
一种方法是通过迭代行从 sub_df
创建字典。
然后在orig_df['sub_cat']
上使用字典作为 map :
d = {idx: next(k for k in sub_df if row[k]==1)
for idx, row in sub_df.iterrows()}
orig_df['main_category'] = orig_df['sub_cat'].map(d)
print(orig_df)
Student sub_cat main_category
0 Stud1 Movie Entertainment
1 Stud2 Science Education
2 Stud3 Maths Education
3 Stud4 Music Entertainment
4 Stud5 Songs Entertainment
5 Stud6 Dance Entertainment
6 Stud7 English Education
7 Sud8 Maths Education
8 Stud9 Songs Entertainment
请注意,这假设每个 sub_cat
仅映射到“教育”或“娱乐”之一。
关于python - 如何将数据帧的列值转换为另一个数据帧列的值,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/50171128/