我一直在网上搜索并发现了类似的问题,但仍无法找到我正在寻找的答案。 我有2个excel文件:
data1
ColumnA columnB columnC columnD
A B C D
A B C D
A B C D
DATA2
ColumnE columnF columnG
E F G
E F G
E F G
我想将data2中的列F添加到data1:
ColumnA columnB columnC columnD columnF
A B C D F
A B C D F
A B C D F
我试过
data2['columnF'] = data1['columnF'] #doesn't work
也尝试了
data1['columnF'] = '' #adding a columnF to data1
merg_left = pd.merge(left=data1,right=data2, how='left',
left_on='columnF', right_on='columnF')
#gave me a weird output file
答案 0 :(得分:1)
import pandas as pd
import io
data = """
ColumnA columnB columnC columnD
A B C D
A B C D
A B C D
"""
data1 = """
ColumnE columnF columnG
E F G
E F G
E F G
"""
df = pd.read_csv(io.StringIO(data), delimiter='\s+')
df1 = pd.read_csv(io.StringIO(data1), delimiter='\s+')
df['columnF'] = pd.Series(df1['columnF'])
print(df)
会给你:
ColumnA columnB columnC columnD columnF
0 A B C D F
1 A B C D F
2 A B C D F
答案 1 :(得分:0)
import pandas as pd
f_column = data2["columnF"]
data1 = pd.concat([data1,f_column], axis = 1)
data1
columnA columnB columnC columnF
0 a b c f
1 a b c f
2 a b c f
答案 2 :(得分:0)
import pandas as pd
f_column = data2["columnF"]
data1 = pd.concat([data1,f_column], axis = 1)
data1
将提供所需的输出。