在python中使用panda操作大型文本文件的问题

Question

我有一个文本文件，如下面的小示例：

small example:

0,1,2,3,4,5,6
chr1,144566,144597,30,chr1,120000,210000
chr1,154214,154245,34,chr1,120000,210000
chr1,228904,228935,11,chr1,210000,240000
chr1,233265,233297,13,chr1,210000,240000
chr1,233266,233297,58,chr1,210000,240000
chr1,235438,235469,36,chr1,210000,240000
chr1,262362,262393,16,chr1,240000,610000
chr1,347253,347284,12,chr1,240000,610000
chr1,387022,387053,38,chr1,240000,610000

我想删除第一行，而不是comma separated，制作一个tab separated文件。类似于预期输出：

expected output:

chr1    144566  144597  30  chr1    120000  210000
chr1    154214  154245  34  chr1    120000  210000
chr1    228904  228935  11  chr1    210000  240000
chr1    233265  233297  13  chr1    210000  240000
chr1    233266  233297  58  chr1    210000  240000
chr1    235438  235469  36  chr1    210000  240000
chr1    262362  262393  16  chr1    240000  610000
chr1    347253  347284  12  chr1    240000  610000
chr1    387022  387053  38  chr1    240000  610000

我正在尝试使用pandas在python中执行此操作。我写了这个代码，但没有返回我想要的内容。你知道怎么修吗？

import pandas
file = open('myfile.txt', 'rb')
new =[]
for line in file:
new.append(line.split(','))
df = pd.DataFrame(new)
df.to_csv('outfile.txt', index=False)

Answer 1

import pandas as pd    
df = pd.read_csv('myfile.txt', header=0)
df.to_csv('outfile.txt', sep='t', index=None, header=False)

Answer 2

根据文件的大小，避免Pandas和使用基本Python I/O可能是一个更有效的想法。这样，您就不必将整个文件读取到内存中，而是逐行读取并转储到带有制表符分隔的新文件中：

with open("myfile.txt", "r") as r:
with open("myfile2.txt", "w") as w:
for line in r:
w.write("t".join(line.split(',')))

myfile2.txt现在是myfile.txt的制表符分离版本。