Python 如何通过熊猫中的循环连接多个数据帧?

Python 如何通过熊猫中的循环连接多个数据帧?,python,pandas,Python,Pandas,我需要通过一个循环合并多个数据帧 df1: Id Name 101 Rick 102 Nick 103 Jerry df2: Id Class 101 A 102 B 103 C df3: Id Grade 101 1 102 2 103 3 输出: I tried: data_frames= [] for file in os.listdir(folder_path): file.append(data_frames) final_df

我需要通过一个循环合并多个数据帧

df1: 

Id   Name
101  Rick
102  Nick
103  Jerry

df2:

Id   Class
101  A
102  B
103  C

df3:

Id   Grade
101  1
102  2
103  3
输出:

I tried:

data_frames= []
for file in os.listdir(folder_path):
    file.append(data_frames)

final_df = pd.merge(data_frames, how='left', on='Id')
TypeError: merge() missing 1 required positional argument: 'right'
from functools import reduce

reduce(lambda x,y: x.merge(y,on='Id', how='left'), dataframes )

方法是使用
functools.reduce

    Id   Name  Class Grade
    101  Rick  A     1
    102  Nick  B     2
    103  Jerry C     3
输出:

I tried:

data_frames= []
for file in os.listdir(folder_path):
    file.append(data_frames)

final_df = pd.merge(data_frames, how='left', on='Id')
TypeError: merge() missing 1 required positional argument: 'right'
from functools import reduce

reduce(lambda x,y: x.merge(y,on='Id', how='left'), dataframes )

您可以使用
concat
合并索引上的多个数据帧

    Id   Name Class  Grade
0  101   Rick     A      1
1  102   Nick     B      2
2  103  Jerry     C      3