如何使用python将.dat转换为.csv？

Question

我有一个file.dat,看起来像:

id       | user_id | venue_id | latitude  | longitude | created_at

---------+---------+----------+-----------+-----------+-----------------

984301   |2041916  |5222      |           |           |2012-04-21 17:39:01

984222   |15824    |5222      |38.8951118 |-77.0363658|2012-04-21 17:43:47

984315   |1764391  |5222      |           |           |2012-04-21 17:37:18

984234   |44652    |5222      |33.800745  |-84.41052  | 2012-04-21 17:43:43

我需要获取带有删除的空纬度和经度行的csv文件,例如:

id,user_id,venue_id,latitude,longitude,created_at

984222,15824,5222,38.8951118,-77.0363658,2012-04-21T17:43:47

984234,44652,5222,33.800745,-84.41052,2012-04-21T17:43:43

984291,105054,5222,45.5234515,-122.6762071,2012-04-21T17:39:22

我尝试使用下一个代码:

with open('file.dat', 'r') as input_file:
    lines = input_file.readlines()
    newLines = []
    for line in lines:
        newLine = line.strip('|').split()
        newLines.append(newLine)

with open('file.csv', 'w') as output_file:
    file_writer = csv.writer(output_file)
    file_writer.writerows(newLines)

但是我得到一个带有"|"的csv文件 符号和空纬度/经度行.哪里出错？一般来说,我需要在DateFrame中使用生成的csv文件,因此可能有一些方法可以减少操作次数.

Answer 1

str.strip()从字符串中删除前导和尾随字符.
您想要拆分行"|",然后删除结果列表的每个元素:

import csv

with open('file.dat') as dat_file, open('file.csv', 'w') as csv_file:
    csv_writer = csv.writer(csv_file)

    for line in dat_file:
        row = [field.strip() for field in line.split('|')]
        if len(row) == 6 and row[3] and row[4]:
            csv_writer.writerow(row)