如何在 Python 中按单列对 CSV 进行排序?
如需按单列对 CSV 进行排序,请使用 sort_values() 方法。在 sort_values() 方法中设置要按其排序的列。
首先,让我们使用 DataFrame 读取 CSV 文件“SalesRecords.csv” -
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesRecords.csv")按单列“汽车”排序 -
dataFrame.sort_values("Car", axis=0, ascending=True,inplace=True, na_position='first')接下来,按单列“Reg_Price”排序 -
dataFrame.sort_values("Reg_Price", axis=0, ascending=True,inplace=True, na_position='first')例子
以下为代码
import pandas as pd
# DataFrame to read our input CS file
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesRecords.csv")
print("\nInput CSV file = \n", dataFrame)
# sorting according to Car column
dataFrame.sort_values("Car", axis=0, ascending=True,inplace=True, na_position='first')
print("\nSorted CSV file (according to Car Names) = \n", dataFrame)
# sorting according to Reg_Price column
dataFrame.sort_values("Reg_Price", axis=0, ascending=True,inplace=True, na_position='first')
print("\nSorted CSV file (according to Registration Price) = \n", dataFrame)输出
将产生以下输出
Input CSV file = Car Date_of_Purchase Reg_Price 0 BMW 10/10/2020 1000 1 Audi 10/12/2020 750 2 Lexus 10/17/2020 1250 3 Jaguar 10/16/2020 1500 4 Mustang 10/19/2020 1100 5 Lamborghini 10/22/2020 1000 Sorted CSV file (according to Car Names) = Car Date_of_Purchase Reg_Price 1 Audi 10/12/2020 750 0 BMW 10/10/2020 1000 3 Jaguar 10/16/2020 1500 5 Lamborghini 10/22/2020 1000 2 Lexus 10/17/2020 1250 4 Mustang 10/19/2020 1100 Sorted CSV file (according to Registration Price) = Car Date_of_Purchase Reg_Price 1 Audi 10/12/2020 750 0 BMW 10/10/2020 1000 5 Lamborghini 10/22/2020 1000 4 Mustang 10/19/2020 1100 2 Lexus 10/17/2020 1250 3 Jaguar 10/16/2020 1500
广告
数据结构
网络
RDBMS
操作系统
Java
iOS
HTML
CSS
Android
Python
C 语言
C++
C#
MongoDB
MySQL
Javascript
PHP