追加额外列的熊猫数据框

Question

I have a pandas.DataFrame that have the following columns: ['agent', 'agentid', 'agentname', 'agentaddress'] .

When I concat this data frame with another data frame of same cardinality, it appends an extra column at the end with same name.

>>> print(df1)
   agent  agentid agentname agentaddress
0      1     1001      test        delhi
>>> print(df2)
   agent  agentid agentname agentaddress
0      2     1002     test1     vadodara

When I concat these two data frames, it gives me the following result:

>>> print(pd.concat([df1, df2], sort=False))
   agent  agentid agentname agentaddress   agentid
0      1   1001.0      test        delhi       NaN
0      2      NaN     test1     vadodara    1002.0

Answer 1

我创建了单独的 csv 文件并尝试了你在这里所做的：它工作得很好，检查列的名称是否在两个文件中都是正确的。

Answer 2

Try to check the dtypes of entire colums in both dataframes. Sometimes ids can be of categorical dtype

Answer 3

The column names 'agentid' is different in df1 and df2, so you get this result. Please recheck the column names 'agentid', ensure they are the same character string.