如何逐行合并多个 csv 文件 python

Question

I would expect the code to merge the output csv files line by line. It will write the first lines one after another, then the second lines one after another.

import numpy as np, pandas as pd, os, glob
path = (r'E:\csvfile')
all_files = glob.glob(path + "/*.csv")
li = []

for filename in all_files:
    df = pd.read_csv(filename, index_col=False, header=0)
    li.append(df)

frame = pd.concat(li,axis=0,names=None)
frame.to_csv (r'E:\csvfile\exportC.csv', mode = 'w', index=False)

I tried the shorter code with different parameters. >

import pandas as pd, glob
df = pd.concat(map(pd.read_csv, glob.glob(r'E:\csvfile/*.csv')),axis=0)
df.to_csv (r'E:\csvfile\exportC.csv',mode = 'w', index=False) 

file1.csv

0, 10,12
0,11,12
1,15,12

file2.csv

0, 2, 1
1,22, 1
3, 11, 1

file3.csv

0, 4, 6
9, 14, 13
5, 6, 2

The expected output.

0, 10,12
0, 2, 1
0, 4, 6
0,11,12
1,22, 1
9, 14, 13
1,15,12
3, 11, 1
5, 6, 2

Thank you from now.

Answer 1

You can first concatenate your three individual dataframes df1 , df2 and df3 and then use the sort_index pandas method to reorganize your dataframe based on the index number:

import pandas as pd
df1=pd.read_csv(file1.csv)
df2=pd.read_csv(file2.csv)
df3=pd.read_csv(file3.csv)
df=pd.concat([df1, df2, df3], axis=0).sort_index() 

This will return:

   0   1   2
0  0  10  12
0  0   2   1
0  0   4   6
1  0  11  12
1  1  22   1
1  9  14  13
2  1  15  12
2  3  11   1
2  5   6   2

Answer 2

You could make a dataframe for each CSV, and write a function that loops and appends rows. If the CSVs are big, you can read them in chunks.

while i < df_length:
  df = df.append(df1.iloc[[i],:]).append(df2.iloc[i,:]).append(df3.iloc[i,:])
  i += 1