将 Multiindex DataFrame 的行组合成逗号分隔的列表
Combine Rows of Multiindex DataFrame into Comma Separated Lists
给定一个多索引 DataFrame,我想组合重复的索引对并将它们的值列为逗号分隔列表。比如输入:
df = pd.DataFrame({'Last Name' : ['Deere','Deere','Foo' ,'Foo' ,'Man' ],
'First Name': ['John' ,'Jane' ,'Kung' ,'Kung' ,'Karate'],
'Value1': [ 1 , 2 , 3 , 4 , 5 ],
'Value2': ['Green','Blue' ,'Yellow','Black','Purple']})
df.set_index(['Last Name','First Name'],inplace=True)
提供:
Value1 Value2
Last Name First Name
Deere John 1 Green
Jane 2 Blue
Foo Kung 3 Yellow
Kung 4 Black
Man Karate 5 Purple
我想将其转换为以下 DataFrame:
Value1 Value2
Last Name First Name
Deere John 1 Green
Jane 2 Blue
Foo Kung 3,4 Yellow,Black
Man Karate 5 Purple
您可以先通过 astype
, then groupby
by levels Last Name
and First Name
with agg
join
:
将列 Value1
转换为 string
df['Value1'] = df['Value1'].astype(str)
result = df.groupby(level=['Last Name','First Name'], sort=False).agg( ','.join)
print result
Value1 Value2
Last Name First Name
Deere John 1 Green
Jane 2 Blue
Foo Kung 3,4 Yellow,Black
Man Karate 5 Purple
给定一个多索引 DataFrame,我想组合重复的索引对并将它们的值列为逗号分隔列表。比如输入:
df = pd.DataFrame({'Last Name' : ['Deere','Deere','Foo' ,'Foo' ,'Man' ],
'First Name': ['John' ,'Jane' ,'Kung' ,'Kung' ,'Karate'],
'Value1': [ 1 , 2 , 3 , 4 , 5 ],
'Value2': ['Green','Blue' ,'Yellow','Black','Purple']})
df.set_index(['Last Name','First Name'],inplace=True)
提供:
Value1 Value2
Last Name First Name
Deere John 1 Green
Jane 2 Blue
Foo Kung 3 Yellow
Kung 4 Black
Man Karate 5 Purple
我想将其转换为以下 DataFrame:
Value1 Value2
Last Name First Name
Deere John 1 Green
Jane 2 Blue
Foo Kung 3,4 Yellow,Black
Man Karate 5 Purple
您可以先通过 astype
, then groupby
by levels Last Name
and First Name
with agg
join
:
Value1
转换为 string
df['Value1'] = df['Value1'].astype(str)
result = df.groupby(level=['Last Name','First Name'], sort=False).agg( ','.join)
print result
Value1 Value2
Last Name First Name
Deere John 1 Green
Jane 2 Blue
Foo Kung 3,4 Yellow,Black
Man Karate 5 Purple