如何使用另一列的字典计数创建熊猫列？

如何解决如何使用另一列的字典计数创建熊猫列？

我有一个示例数据：

date        product campaign_type             total_monthly_sale
2019-01-01. Dell      [call,email,call].       5
2019-01-01. Apple     [fax,fax,visit,visit]   4
2019-02-01. Dell      [call,call]          6
2019-02-01. Apple     [email,visit]      7

我想创建一个名为“campaign_dict”的新列，它给出了来自 campaign_type 列的值的计数。

示例输出如下：

date        product campaign_type             total_monthly_sale. campaign_dict
2019-01-01. Dell      [call,call].       5.               {'call':2,'email':1} 
2019-01-01. Apple.    [fax,visit].  4.               {'fax':2,'visit':2}
2019-02-01. Dell.     [call,call]          6.               {'call':2,'fax':1}
2019-02-01. Apple.    [email,visit].     7                {'email':2,'visit':1}

解决方法

尝试这样的事情

from collections import Counter

df["campaign_dict"] = df["campaign_type"].apply(Counter)

,

您需要的是一个 collections.Counter

import pandas as pd
from collections import Counter

df: pd.DataFrame = pd.DataFrame([
    [["call","email","call"],5],[["fax","fax","visit","visit"],4],[["call",6],[["email",7]
],columns=['campaign_type','total_monthly_sale'])

df['campaign_dict'] = df['campaign_type'].apply(Counter)
print(df) 

              campaign_type  total_monthly_sale             campaign_dict
0       [call,email,call]                   5   {'call': 2,'email': 1}
1  [fax,fax,visit,visit]                   4    {'fax': 2,'visit': 2}
2         [call,call]                   6     {'call': 2,'fax': 1}
3     [email,visit]                   7  {'email': 2,'visit': 1}