以第二列作為分隔符拆分 dataframe 列

Question

我想通過使用同一行中第二列的值將一列拆分為兩列，因此第二列值用作拆分分隔符。

我收到錯誤TypeError: 'Series' objects are mutable, thus they cannot be hashed這使得它接收一個系列，而不是單個值，但我不確定如何隔離到第二列的單行值.

樣本數據：

    title_location                    delimiter
0   Doctor - ABC - Los Angeles, CA    - ABC -
1   Lawyer - ABC - Atlanta, GA        - ABC -
2   Athlete - XYZ - Jacksonville, FL  - XYZ -

代碼：

bigdata[['title', 'location']] = bigdata['title_location'].str.split(bigdata['delimiter'], expand=True)

所需的 output：

    title_location                    delimiter    title    location
0   Doctor - ABC - Los Angeles, CA    - ABC -      Doctor   Los Angeles, CA
1   Lawyer - ABC - Atlanta, GA        - ABC -      Lawyer   Atlanta, GA
2   Athlete - XYZ - Jacksonville, FL  - XYZ -      Athlete  Jacksonville, FL

Answer 1

讓我們試試zip然后再join

df = df.join(pd.DataFrame([x.split(y) for x ,y in zip(df.title_location,df.delimiter)],index=df.index,columns=['Title','Location']))
df
Out[200]: 
                     title_location delimiter     Title           Location
0    Doctor - ABC - Los Angeles, CA   - ABC -   Doctor     Los Angeles, CA
1        Lawyer - ABC - Atlanta, GA   - ABC -   Lawyer         Atlanta, GA
2  Athlete - XYZ - Jacksonville, FL   - XYZ -  Athlete    Jacksonville, FL

Answer 2

嘗試apply 。

bigdata[['title', 'location']]=bigdata.apply(func=lambda row: row['title_location'].split(row['delimiter']), axis=1, result_type="expand")