如何在 Python 中按多列对 CSV 进行排序？
要按多列对CSV进行排序，请使用sort_values()方法。按多列排序意味着如果其中一列具有重复值，则排序顺序取决于方法中提到的第二列sort_values()。
首先，让我们阅读我们的输入CSV文件“SalesRecords.csv”-
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\SalesRecords.csv")现在让我们根据多列进行排序，即“Reg_Price”和“Car”-
dataFrame.sort_values(["Reg_Price","Car"],axis=0, ascending=True,inplace=True,na_position='first')
示例
以下是代码-
import pandas as pd
#DataFrametoreadourinputCSfile
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\SalesRecords.csv")
print("\nInput CSV file = \n", dataFrame)
#sortingaccordingtomultiplecolumns
dataFrame.sort_values(["Reg_Price","Car"],axis=0, ascending=True,inplace=True,na_position='first')
print("\nSorted CSV file (according to multiple columns) = \n", dataFrame)输出结果这将产生以下输出-
Input CSV file =
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
Sorted CSV file (according to multiple columns) =
Car Date_of_Purchase Reg_Price
2 Audi 10/17/2020 750
1 Lexus 10/12/2020 750
0 BMW 10/10/2020 1000
5 Lamborghini 10/22/2020 1000
4 Mustang 10/19/2020 1100
3 Jaguar 10/16/2020 1500