如何根據(jù)其他兩列的條件文本值在 pandas 中創(chuàng)建新列？初始表 -Specialty Category Spec A Cat A Spec A Cat B Spec A Cat CSpec A Cat DSpec B Cat A Spec B Cat B Spec B Cat C Spec B Cat D 條件邏輯 = Cat A 和 Cat D 未重命名為“其他” Cat B 和 Cat C 重命名為“其他” 專業(yè)沒有變化。新列用于根據(jù)上述邏輯連接專業(yè)和類別。該表將輸出到 -Specialty Category Specialty_groupSpec A Cat A Spec A Cat A Spec A Cat B Spec A OtherSpec A Cat C Spec A OtherSpec A Cat D Spec A Cat D Spec B Cat A Spec B Cat ASpec B Cat B Spec B OtherSpec B Cat C Spec B OtherSpec B Cat D Spec B Cat D
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江戶川亂折騰
TA貢獻(xiàn)1851條經(jīng)驗 獲得超5個贊
# create a mask based on your logic
mask = (df['Category'] == 'Cat A') | (df['Category'] == 'Cat D')
# assign a values to a new column using loc and join
df.loc[mask, 'Specialty_group'] = df[mask].agg(' '.join, axis=1)
# assign values to a column using loc with the opposite of your logic
df.loc[~mask, 'Specialty_group'] = df[~mask]['Specialty']+' Other'
Specialty Category Specialty_group
0 Spec A Cat A Spec A Cat A
1 Spec A Cat B Spec A Other
2 Spec A Cat C Spec A Other
3 Spec A Cat D Spec A Cat D
4 Spec B Cat A Spec B Cat A
5 Spec B Cat B Spec B Other
6 Spec B Cat C Spec B Other
7 Spec B Cat D Spec B Cat D
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