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python之识别 csv 文件中的排列(并计算它们)

2025年05月04日11三少

尝试从 csv 文件中获取数据 这是我的 csv 文件的样子:

a,0,b,2,c,6,G,4,l,6,mi,2,m,0,s,4 
a,2,b,2,c,0,G,4,l,6,mi,4,m,0,s,6 
a,4,b,2,c,6,G,6,l,2,mi,4,m,0,s,0 
a,2,b,0,c,2,G,6,l,4,mi,4,m,0,s,6 
a,2,b,2,c,6,G,4,l,0,mi,6,m,0,s,4 
a,2,b,6,c,0,G,6,l,0,mi,4,m,2,s,4 
a,0,b,6,c,4,G,2,l,0,mi,6,m,4,s,2 
a,6,b,6,c,4,G,0,l,0,mi,2,m,4,s,2 

因此,例如在行 [0] 中, 取决于第1,3,5,7,9,11,13,15行中的数值 我需要获取 0,2,4,6,10,12,14

中的值

更深层次的例子: 从第 1 行开始: 我需要得到

 a,m = 0 
b,mi = 2 
c,l = 6 
G,s =4 

最后,我要补充一下,哪两个的组合最高。所以本质上是每个的总和。

为了做到这一点:

# Sanitize filelist to keep only *.csv files     
def sanitize_filelist(filelist): 
 
    sanitized_filelist = [] 
 
    # Keep only the log file 
    for file in range(len(filelist)): 
        if string.lower(filelist[file][-4:]) == '.csv': 
            sanitized_filelist += [filelist[file]] 
#    print sanitized_filelist 
    return sanitized_filelist 
 
 
def parse_files(dataset_path,file): 
    threads = [0,2,4,6,10,12,14] 
    coreid  = [1,3,5,7,9,11,13,15] 
    cores = [0,2,4,6] 
    thread_data = [[],[],[],[],[],[],[]] 
    #core = [[],[],[],[],[],[],[]] 
        threadcorecount = [[0 for a in range(0,4)] for b in range(0,8)] 
    dataset = csv.reader(open(dataset_path, 'rb'), delimiter=',') 
    for line in dataset: 
        #print line 
        for thread in range(len(threads)): 
            thread_data[thread] = line[threads[thread]] 
        for core in range(len(threads)): 
            if line[coreid[core]] == cores[0]: 
                sub = core - 1 
                print thread_data[sub],cores[0] 

我写了这个片段 - 仍然是一个测试版本。 我无法获取这些值并进行打印。没有错误..我不明白错误是什么。

请您参考如下方法:

如果我理解了您的所有请求,下面的代码应该可以解决问题:如果您想访问每一行中的值(或保存 counter 变量)和 sorted_results 来获取可能排列的计数。

一些引用:

代码如下:

import csv 
from collections import Counter 
import operator 
 
def parse_files(dataset_path,f):  # please avoid using reserved words like file 
    threads = range(0,16,2) 
    dataset = csv.reader(open(dataset_path,'rb'), delimiter=',') 
    results = [] 
    for line in dataset: 
        counter = {str(x):[] for x in range(0,8,2)} 
        # map(lambda x:counter[line[x+1]].append(line[x]), threads) 
        # map(lambda ...) is just a more pythonic way to write the following two lines 
        for index in threads: 
            counter[line[index+1]].append(line[index]) 
        # now counter is something like  
        #{'0': ['c', 'l'], '2': ['a', 'm'], '4': ['mi', 's'], '6': ['b', 'G']} 
 
        results.extend([','.join(v)+'='+k for k,v in counter.items()]) 
        # in results, I'm appending something like this: 
        # {'c,l=6', 'a,m=0', 'b,mi=2', 'G,s=4'} 
 
    sorted_results = sorted(dict(Counter(results)).iteritems(), key=operator.itemgetter(1), reverse=True) 
    print '\n'.join(['The couple %s appears %d times'%el for el in sorted_results]) 
 
    # >>> The couple a,b=2 appears 2 times 
    # >>> The couple c,m=4 appears 2 times 
    # >>> The couple G,s=4 appears 2 times 
    # >>> The couple c,mi=6 appears 1 times 
    # >>> The couple a,m=2 appears 1 times 
    # >>> ...