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01,5,01110000000000
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02,0,0000111100
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02,2,1111111001
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02,4,0000000111
02,5,0000000111
02,6,0010000100
02,7,0001000100
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02,9,0000000100
03,0,0111111111110000
03,1,0111111111110000
03,2,0111111111110000
03,3,0111111111110000
03,4,1110000000101111
03,5,1110000000011111
03,6,1110000000001111
03,7,1110000000001111
03,8,0001111000001111
03,9,0000000100001111
03,10,0000000100001111
03,11,0000000100001111
03,12,0000000100001111
03,13,0000000011111111
03,14,0000000011111111
03,15,0000000011110000
04,0,011111111110000
04,1,011111111110000
04,2,011111111110000
04,3,011111111110000
04,4,111000000001111
04,5,111000000001111
04,6,111000000001111
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04,8,000000010001111
04,9,000000010001111
04,10,000000010001111
04,11,000000010001111
04,12,000000001111111
04,13,000000001111111
04,14,000000001110000
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05,3,000001111000000000
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05,5,111111111000000111
05,6,111111111000000111
05,7,111111111000000111
05,8,000000000000000111
05,9,000000000011111111
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09,2,00011100000
09,3,11111100000
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11,3,11111100011111111000000011
11,4,11111100011111111000000011
11,5,11111100011111111000000011
11,6,11111100011111111000000011
11,7,11100011111111111000000011
11,8,00000011000000000000000011
11,9,00001111000000010011111111
11,10,00001111000000001011111111
11,11,00001111000000000011111111
11,12,00001111000000000011111111
11,13,11111111000000000011111000
11,14,11111111000000000011111000
11,15,11111111000000000011111000
11,16,11111111000000000011111000
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11,22,00000000011110000001111000
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11,25,00001111111110000011111000
12,0,000010000000
12,1,111110000000
12,2,111110000000
12,3,111110000000
12,4,111000000000
12,5,111000000000
12,6,111000000000
12,7,111000001111
12,8,000000001110
12,9,000011111110
12,10,000011111110
12,11,000011111110
13,0,0111111110000111111000000
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13,2,0111111110000111111000000
13,3,0111000001111111111000000
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13,5,0100000001110000000000000
13,6,1100001111110000000011111
13,7,1100001111110000000011111
13,8,1100001111110000000011111
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13,10,0011111111110000000011111
13,11,0011111111110000000011111
13,12,0011000000000000000011000
13,13,0111000000000111111111000
13,14,0111000000000111111111000
13,15,0111000000000111111111000
13,16,1111000000000111111000111
13,17,1111000000000111111000111
13,18,1111000000000111111000111
13,19,0000000000000111000000111
13,20,0000000000000111000000111
13,21,0000001111111111000011111
13,22,0000001111111111000011111
13,23,0000001111110000111111111
13,24,0000001110000000111000000
14,0,01111110001111000
14,1,01111110001111000
14,2,01111001111111000
14,3,11100011100000111
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14,6,00011111100100111
14,7,00011000000000100
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14,10,11111000001111011
14,11,00000000001100011
14,12,00000011111100111
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14,16,00000010000011000
15,0,011111111100000111110000
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15,2,011111111100000111110000
15,3,011111111100000111110000
15,4,110000011111111000001111
15,5,110000011111111000001111
15,6,110000011111111000001111
15,7,001111111111111000001111
15,8,001111111111111000001111
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15,10,010000000001100111110000
15,11,010000000001010111110000
15,12,010000000000110111110000
15,13,010000000000000111110000
15,14,110000000000000111111111
15,15,110000000000000111111111
15,16,110000000000000111111111
15,17,001111000000000110001111
15,18,000000100000000110001111
15,19,000000100000000110001111
15,20,000000100000000110001111
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15,22,000000011111111001111111
15,23,000000011100000001110000
16,0,11110001110000
16,1,11110001110000
16,2,11101111110000
16,3,11101111110000
16,4,10011110001111
16,5,10011110001111
16,6,01111110001111
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19,5,00000000
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20,0,000011111110000
20,1,000011111110000
20,2,000011111110000
20,3,000011100000000
20,4,111111100000111
20,5,111111100000111
20,6,111111100000111
20,7,000000000000111
20,8,000000001111111
20,9,000000001111111
20,10,000000001111111
这是我的整个mon.csv文件。我想通过使用列0进行分组。 也就是说，对于00，第2列中的值将添加到数组中
[000011110000111111110000,000011110000111111110000,000010000000111000000000,111110000111111000000111,111110000111111000000111,111110000111111000000111,111001111111111000000111,000001110000000000000111,000011110000000011111111,000011110000000011111111,000011110000000011111111,111111110000000011110000,111111110000000011110000,111111110000000011110000,111000000000000010000000,111000000111111110000111,111000000111111110000111,111000000111111110000111,111000000111111001111111,000000000111000001110000,000011111111000011110000,000011111111000011110000,000011111111000011110000]
对于01，将第2列中的值添加到另一个数组中 对于02，将第2列中的值添加到另一个数组中，依此类推。 这是我在下面尝试过的：
def main():
import csv
from itertools import groupby
with open("mon.txt") as file:
reader = csv.reader(file)
rows = [[row[0]] + [int(item) for item in row[1:]] for row in reader]
groups = {}
for key, group in groupby(rows, lambda row: row[0]):
groups[key] = [row[2] for row in group]
print(groups)
return 0
if __name__ == "__main__":
import sys
sys.exit(main())
此代码输出错误，即第2列的值混合在一起。
答案 0 :(得分：1)
使用csv.reader（使用默认的 dialect 替换 csv 文件）和coolections.defaultdict（使用类似字典的对象对值进行分组/累加）模块：
from collections import defaultdict
import csv
import pprint
with open('mon.txt') as f:
groups = defaultdict(list)
reader = csv.reader(f)
for line in reader:
groups[line[0]].append(line[2])
pprint.pprint(dict(groups))
输出：
{'00': ['000011111111000011110000',
'000011111111000011110000',
'000011111111000011110000'],
'01': ['01111111000000', '01111111000000', '01111111000000'],
'02': ['0000111100', '0000111000', '1111111001', '0000000111', '0000000111'],
'03': ['0111111111110000',
'0111111111110000',
'0111111111110000',
'0111111111110000',
'1110000000101111'],
'04': ['011111111110000',
'011111111110000',
'011111111110000',
'011111111110000']}
答案 1 :(得分：0)
您可以使用pandas。我添加了标头以将csv读取到pandas DataFrame中。我们在groupby列“ A”中使用apply将“ C”中的分组值组成一个列表。最后，我们使用to_dict()将此分组的DataFrame转换为字典。
In [53]: import pandas as pd
In [54]: df = pd.read_csv('test.csv')
In [55]: df.head()
Out[55]:
A B C
0 0 21 11111111000011110000
1 0 22 11111111000011110000
2 0 23 11111111000011110000
3 1 0 1111111000000
4 1 1 1111111000000
In [56]: df_raw = df.groupby('A')['C'].apply(list)
In [57]: df_raw.to_dict()
Out[57]:
{0: [11111111000011110000, 11111111000011110000, 11111111000011110000],
1: [1111111000000, 1111111000000, 1111111000000],
2: [111100, 111000, 1111111001, 111, 111],
3: [111111111110000,
111111111110000,
111111111110000,
111111111110000,
1110000000101111],
4: [11111111110000, 11111111110000, 11111111110000, 11111111110000]}