嗨，我在处理csv文件时想按模式进行分组。 这是我的csv文件：
[温度]，[风扇]，[模式]，[百叶窗]，[摆动]
16, auto, cool, auto, auto,
16, auto, cool, auto, auto,
16, auto, cool, auto, auto,
16, auto, cool, auto, off,
16, auto, cool, auto, auto,
16, auto, cool, off, auto,
16, auto, cool, auto, auto,
16, high, cool, auto, auto,
16, med, cool, auto, auto,
16, low, cool, auto, auto,
16, auto, cool, auto, auto,
17, auto, cool, auto, auto,
18, auto, cool, auto, auto,
19, auto, cool, auto, auto,
20, auto, cool, auto, auto,
21, auto, cool, auto, auto,
22, auto, cool, auto, auto,
23, auto, cool, auto, auto,
24, auto, cool, auto, auto,
25, auto, cool, auto, auto,
26, auto, cool, auto, auto,
27, auto, cool, auto, auto,
28, auto, cool, auto, auto,
29, auto, cool, auto, auto,
30, auto, cool, auto, auto,
29, auto, cool, auto, auto,
28, auto, cool, auto, auto,
27, auto, cool, auto, auto,
2, auto, dry, auto, auto,
1, auto, dry, auto, auto,
0, auto, dry, auto, auto,
-1, auto, dry, auto, auto,
-2, auto, dry, auto, auto,
2, auto, auto, auto, auto,
1, auto, auto, auto, auto,
0, auto, auto, auto, auto,
-1, auto, auto, auto, auto,
-2, auto, auto, auto, auto,
我想要这样的输出并使用python进行编程
[模式]，[温度]，[风扇]，[百叶窗]，[摆动]
['dry'], ['2', '1', '0', '-1', '-2'], ['auto'], ['auto'], ['auto']
['auto'], ['2', '1', '0', '-1', '-2'], ['auto'], ['auto'], ['auto']
['cool'], ['16', '17', '18', '19', '20', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30'], ['auto', 'high', 'med', 'low'], ['auto', 'off'], ['auto', 'off']
答案 0 :(得分：0)
python的pandas库就是答案。
import pandas as pd
df = pd.read_csv(your_csv_path)
grouped = df.groupby([Mode]) # you can group them in the sequence you like
您可以通过grouped.get_group(['dry'])或任何您希望的方式访问此groupby对象的元素