Question

假设我有一个包含以下标题和数据的'test.csv'文件：

h1  c1  h2  h3  c2
1   0   2   3   1
3   0   2   1   0
0   1   2   3   3

python中最好的选择是只选择并保存感兴趣的列并丢弃所有其他列？

假设我只对保存h列感兴趣，我想到了以下几点：

f = open('test.csv')
s = save('new_test.csv', data = f, saveColumns=['h1','h2','h3'])´

n = load('new_test.csv')
print n

h1  h2  h3
1   2   3
3   2   1
0   2   3

Answer 1

f = open("test.csv")
header = {i: x for i, x in enumerate(f.readline().split())}
columns = ('h1','h2','h3')
for l in f:
    print [x for i, x in enumerate(l.split()) if header[i] in columns]

Answer 2

我找到了一种非常简单的方法：

import pandas as pd
selectColumns = ['h1','h2','h3']
table = pd.read_csv('test.csv')
tableNew = table[selectColumns]
pd.to_csv('tableNew')

Answer 3

>>> d=csv.DictReader(open("some.csv"),delimiter="\t")
>>> fields = ["h1","h2","h3"]
>>> new_rows = [[row[f] for f in fields] for row in d]
>>> d=csv.DictWriter(open("new_csv.csv","w"),fields,delimiter="\t")
>>> d.writerows(new_rows)

只选择文件中的相关列 - python

3 个答案: