Python 按列表对csv文件进行分组

嗨，我正在努力处理我的csv文件，希望按其模式对其进行分组。 以下是我的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,   

我希望有一个这样的输出，并使用python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']

---

python的熊猫库就是答案

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']）

或任何您想要的方式访问此groupby对象的元素，答案就是python的pandas库

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']）

或任何您想要的方式访问此groupby对象的元素