Question

我有两个CSV文件，其中第一个csv文件包含Price列，第二个csv包含数量我试图将这两列相乘并使用第一个csv将结果保存到新列中

First.csv

Code    Description                                Unit    Price
110101  STATIONARY BICYCLE INDOOR USE               SET    120.25
110106  TREADMILL EXERCISE MACHINE, ELEC. AC110V    SET    950.22
110107  TREADMILL EXERCISE MACHINE, ELEC. AC220V    SET    1000 
110110  EXERCISER ROWING INDOOR USE                 SET    450
110120  BARBELL SET                                 SET    100

Second.csv

Code     Quantity
110106  210
110107  220
110110  230
110120  240
110122  250

预期的输出是

First.csv

Code    Description                                 Unit   Price    Total
110101  STATIONARY BICYCLE INDOOR USE               SET    120.25   25252.5
110106  TREADMILL EXERCISE MACHINE, ELEC. AC110V    SET    150.22   33048.4
110107  TREADMILL EXERCISE MACHINE, ELEC. AC220V    SET    100      23000
110110  EXERCISER ROWING INDOOR USE                 SET    40       9600
110120  BARBELL SET                                 SET    100      25000

我只能阅读文件

import pandas as pd

df = pd.read_csv("QuoteCSV.csv", parse_dates=True)
print(df)
df1=pd.read_csv("itemcode.csv",index_col="Price", parse_dates=True)
print(df1)

更新：

   import pandas as pd

    a = pd.read_csv("itemcode.csv")
    b = pd.read_csv("QuoteCSV.csv")
    b = b.dropna(axis=1)
    merged = a.merge(b, on='Code')
    merged.to_csv("result.csv", index=False)
    c = pd.read_csv("result.csv")
    c['Total'] = c['Price'] * c['Quantity']

但它没有返回任何结果

Answer 1

使用map

First.assign(
    Total=First.Price * First.Code.map(dict(zip(Second.Code, Second.Quantity))))

Answer 2

尝试这个工作

df["Total"]=df['Price'].multiply(df1['Quantity'], axis=0)
print(df)

如何使用不同的两个csv文件将两列相乘并使用Pandas将结果返回到第一个csv文件中

2 个答案: