在Python中以不同的顺序写出CSV列 [英] write CSV columns out in a different order in Python

问题描述

我意识到这非常类似这个问题。但是，我有一个CSV文件，总是以相同的格式，我需要写出与列不同的顺序，将其下移到数据处理管道。如果我的csv文件包含标题和数据，像这样：

I realize this is very similar to this question. However, I have a CSV file that always comes in the same format that I need to write out with columns in a different order to move it down the data processing pipeline. If my csv file contains headers and data like this:

Date,Individual,Plate,Sample,test,QC
03312011,Indiv098,P342,A1,deep,passed
03312011,Indiv113,P352,C3,deep,passed

我如何写出一个与原始输入csv具有相同列的csv文件，但顺序如下：

How would I write out a csv file with the same columns as the original input csv but in the following order:

test,QC,Plate,Sample
deep,passed,P342,A1
deep,passed,P352,C3

我最初的想法是做这样的事情：

My initial thought was to do something like this:

f = open('test.csv')
lines = f.readlines()
for l in lines:
    h = l.split(",")
    a, b, c, d, e, f  = h
    for line in h:
        print e, f, c, d, 

推荐答案

如果输入文件或输出文件每次不会有相同的布局，这里有一个更通用的方法来获得你的reorderfunc：

If there's the slightest chance that the input file or the output file won't have the same layout each time, here's a more general way to get your "reorderfunc":

writenames = "test,QC,Plate,Sample".split(",") # example
reader = csv.reader(input_file_handle)
writer = csv.writer(output_file_handle)
# don't forget to open both files in binary mode (2.x)
# or with `newline=''` (3.x)
readnames = reader.next()
name2index = dict((name, index) for index, name in enumerate(readnames))
writeindices = [name2index[name] for name in writenames]
reorderfunc = operator.itemgetter(*writeindices)
writer.writerow(writenames)
for row in reader:
    writer.writerow(reorderfunc(row))

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