Python - 在 Pandas 数据框中创建一个新列
要创建新列，我们将使用已创建的列。首先，让我们创建一个DataFrame并读取我们的CSV-
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\SalesRecords.csv")现在，我们将从已经创建的列“Reg_Price”创建一个新列“New_Reg_Price”，并为每个值添加100，形成一个新列-
dataFrame['New_Reg_Price'] = (dataFrame['Reg_Price'] + 100)
示例
以下是代码-
import pandas as pd
#readingcsvfile
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\SalesRecords.csv")
print("DataFrame...\n",dataFrame)
#counttherowsandcolumnsinaDataFrame
print("\nNumber of rows and column in our DataFrame = ",dataFrame.shape)
dataFrame['New_Reg_Price'] = (dataFrame['Reg_Price'] + 100)
print("Updated DataFrame with a new column...\n",dataFrame)
print("\n[Updated] Number of rows and column in our DataFrame = ",dataFrame.shape)输出结果这将产生以下输出-
DataFrame...
Car Date_of_Purchase Reg_Price
0 BMW 10/10/2020 1000
1 Lexus 10/12/2020 750
2 Audi 10/17/2020 750
3 Jaguar 10/16/2020 1500
4 Mustang 10/19/2020 1100
5 Lamborghini 10/22/2020 1000
Number of rows and column in our DataFrame = (6, 3)
Updated DataFrame with a new column ...
Car Date_of_Purchase Reg_Price New_Reg_Price
0 BMW 10/10/2020 1000 1100
1 Lexus 10/12/2020 750 850
2 Audi 10/17/2020 750 850
3 Jaguar 10/16/2020 1500 1600
4 Mustang 10/19/2020 1100 1200
5 Lamborghini 10/22/2020 1000 1100
(Updated)Number of rows and column in our DataFrame = (6, 4)热门推荐
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