我目前有以下代碼 - 我正在嘗試根據(jù)列在一個數(shù)據(jù)框中獲取匹配的行Last Name。def rule(row): name = row['Last Name'] return rules.loc[rules['Last Name'] == name]['Type']df['Type'] = df.apply(rule, axis=1)當我運行它時，我得到一個錯誤，因為方法== name中的rule- 我該如何修復它？ValueError: ('Buffer has wrong number of dimensions (expected 1, got 0)', 'occurred at index 0')這rules看起來像： Last Name Type0 Smith A1 Doe B和df： Name First Name Last Name0 John Smith John Smith1 Jane Doe Jane Doe2 John Doe John Doe我希望決賽看起來像： Name First Name Last Name Type0 John Smith John Smith A1 Jane Doe Jane Doe B2 John Doe John Doe B編輯：添加示例rules和df
1 回答
翻過高山走不出你
TA貢獻1875條經(jīng)驗 獲得超3個贊
df1 = pd.DataFrame({'First Name': ['John', 'Jane','John'], 'Last Name': ['Smith','Doe','Doe']})
print(df1)
rules = pd.DataFrame({'Last Name':['Smith', 'Doe'], 'Type': ['A','B']})
print(rules)
輸出是：
First Name Last Name
0 John Smith
1 Jane Doe
2 John Doe
Last Name Type
0 Smith A
1 Doe B
df1.merge(規(guī)則)
輸出是：
First Name Last Name Type
0 John Smith A
1 Jane Doe B
2 John Doe B
這是你渴望的答案嗎？
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