使用 Pandas 合並來自單獨的 .csv 文件的數據

Question

我想在 job_transitions_sample.csv 中創建兩個新列，並為標題 1 和標題 2 添加來自 wage_data_sample.csv 的工資數據：

job_transitions_sample.csv：

                     Title 1                    Title 2  Count
0   administrative assistant             office manager     20
1                 accountant                    cashier      1
2                 accountant          financial analyst     22
4                 accountant          senior accountant     23
6           accounting clerk                 bookkeeper     11
7     accounts payable clerk  accounts receivable clerk      8
8   administrative assistant           accounting clerk      8
9   administrative assistant       administrative clerk     12
...

wage_data_sample.csv

                      title   wage
0                   cashier  17.00
1           sandwich artist  18.50
2                dishwasher  20.00
3                babysitter  20.00
4                   barista  21.50
5               housekeeper  21.50
6    retail sales associate  23.00
7                 bartender  23.50
8                   cleaner  23.50
9                 line cook  23.50
10               pizza cook  23.50
...

我希望最終結果看起來像這樣：

                      Title 1             Title 2  Count  Wage of Title 1  Wage of Title 2
0    administrative assistant      office manager     20              NaN              NaN
1                  accountant             cashier      1              NaN              NaN
2                  accountant   financial analyst     22              NaN              NaN
...

我正在考慮使用字典然后嘗試迭代每一列但是是否有更優雅的內置解決方案？ 到目前為止，這是我的代碼：

wage_data = pd.read_csv('wage_data_sample.csv')
dict = dict(zip(wage_data.title, wage_data.wage))

Answer 1

通過字典d使用Series.map - 不能使用dict作為變量名稱，因為 python 代號：

df = pd.read_csv('job_transitions_sample.csv')
wage_data = pd.read_csv('wage_data_sample.csv')

d = dict(zip(wage_data.title, wage_data.wage))
df['Wage of Title 1'] = df['Title 1'].map(d)
df['Wage of Title 2'] = df['Title 2'].map(d)

Answer 2

您可以隨后嘗試對 2 個不同的標題進行 2 次merge 。

例如，讓

• df1: job_transitions_sample.csv

• df2: wage_data_sample.csv

  df1.merge(df2, left_on='Title 1', right_on='title',suffixes=('', 'Wage of')).merge(df2, left_on='Title 2', right_on='title',suffixes =('', '工資'))