Python 2.7.1 : How to Open, 编辑并关闭 CSV 文件

Question

我在打开文件 (amount2.csv) 进行更改、保存并关闭文件时遇到问题。

如何打开一个文件编辑、保存和关闭它？

import csv

changes = {
    '1 dozen' : '12'
    }
with open('amount2.csv', 'r') as f:
reader = csv.reader(f)
print f
f.close()

我的错误:打开文件“amount2.csv”，模式“r”位于 0x1004656f0(<> 已删除)

Answer 1

<open file 'amount2.csv', mode 'r' at 0x1004656f0>

您看到的不是错误，而是“print f”的结果。要改为查看文件的内容，您可以这样做

with open('test.csv', 'rb') as f:
    reader = csv.reader(f)
    for row in reader:
        # row is a list of strings
        # use string.join to put them together
        print ', '.join(row)

要将行附加到您的文件，请执行

changes = [    
    ['1 dozen','12'],                                                            
    ['1 banana','13'],                                                           
    ['1 dollar','elephant','heffalump'],                                         
    ]                                                                            

with open('test.csv', 'ab') as f:                                    
    writer = csv.writer(f)                                                       
    writer.writerows(changes)

更多信息请访问 Python CSV Docs

编辑:

起初我误解了，您想将 csv 文件中的所有条目“1 打”更改为“12”。我首先要说的是，不使用 csv 模块更容易做到这一点，但这里有一个使用它的解决方案。

import csv

new_rows = [] # a holder for our modified rows when we make them
changes = {   # a dictionary of changes to make, find 'key' substitue with 'value'
    '1 dozen' : '12', # I assume both 'key' and 'value' are strings
    }

with open('test.csv', 'rb') as f:
    reader = csv.reader(f) # pass the file to our csv reader
    for row in reader:     # iterate over the rows in the file
        new_row = row      # at first, just copy the row
        for key, value in changes.items(): # iterate over 'changes' dictionary
            new_row = [ x.replace(key, value) for x in new_row ] # make the substitutions
        new_rows.append(new_row) # add the modified rows

with open('test.csv', 'wb') as f:
    # Overwrite the old file with the modified rows
    writer = csv.writer(f)
    writer.writerows(new_rows)

如果您不熟悉编程和 python，最麻烦的行可能是

new_row = [ x.replace(key, value) for x in new_row ]

但这只是一个有效等价于

的列表理解

temp = []
for x in new_row:
    temp.append( x.replace(key, value) )
new_row = temp