本文介绍了将多个文件的列合并到一个文件中-Python的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有数百个包含许多信息的文本文件.每个文件都有3列(所有文件的前两列都相同).我需要将所有文件的第三列合并到一个新文件中.并插入列标题以及该列所属文件的名称.

I have several hundred text files that contain a lot of information. Each file has 3 columns (the first two are the same for all the files).I need to merge the third column of all the files in a new file. And insert a column header with the name of the file from where the column belongs.

具有以下三列的txt文件:

The txt files that have the three columns like this:

-118.33333333333279 40.041666666667908 11.409999847412109
-118.29166666666612 40.041666666667908 11.090000152587891
-118.24999999999946 40.041666666667908 10.920000076293945
-118.20833333333279 40.041666666667908 10.949999809265137

我要创建的txt文件应如下所示:

The txt file I am trying to create should look like this:

Name_of_file_1 Name_of_file_2 Name_of_file_3
3rd_Column_File_1 3rd_Column_File_2 3rd_Column_File_3
3rd_Column_File_1 3rd_Column_File_2 3rd_Column_File_3
3rd_Column_File_1 3rd_Column_File_2 3rd_Column_File_3
3rd_Column_File_1 3rd_Column_File_2 3rd_Column_File_3

这可能吗?我找不到办法.请帮忙!!!

Is this possible? I can't find a way to do so. Please help!!!

Pepo

推荐答案

这是一种实现方法.内联代码注释:

This is one way to do it. Comments on the code in-line:

import csv

# List of your files
file_names = ['file1', 'file2']

# Output list of generator objects
o_data = []

# Open files in the succession and
# store the file_name as the first
# element followed by the elements of
# the third column.
for afile in file_names:
    file_h = open(afile)
    a_list = []
    a_list.append(afile)
    csv_reader = csv.reader(file_h, delimiter=' ')
    for row in csv_reader:
        a_list.append(row[2])
    # Convert the list to a generator object
    o_data.append((n for n in a_list))
    file_h.close()

# Use zip and csv writer to iterate
# through the generator objects and
# write out to the output file
with open('output', 'w') as op_file:
    csv_writer = csv.writer(op_file, delimiter=' ')
    for row in list(zip(*o_data)):
        csv_writer.writerow(row)
op_file.close()

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07-23 12:09
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