如何在 Python 中按单列对 CSV 进行排序?
pythonserver side programmingprogramming更新于 2025/11/17 0:44:17
要按单列对 CSV 进行排序，请使用 sort_values() 方法。在 sort_values() 方法中设置要排序的列。
首先，让我们使用 DataFrame − 读取我们的 CSV 文件"SalesRecords.csv"
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesRecords.csv")
根据单列"Car"排序−
dataFrame.sort_values("Car", axis=0, accending=True,inplace=True, na_position='first')
接下来，根据单个列"Reg_Price"进行排序−
dataFrame.sort_values("Reg_Price", axis=0, accending=True,inplace=True, na_position='first')
示例
以下是代码
import pandas as pd
# DataFrame 读取我们的输入 CS 文件
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesRecords.csv")
print("\nInput CSV file = \n", dataFrame)
# 根据 Car 列排序
dataFrame.sort_values("Car", axis=0, ascending=True,inplace=True, na_position='first')
print("\nSorted CSV file (according to Car Names) = \n", dataFrame)
# 根据 Reg_Price 列排序
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
这将产生以下输出
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
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python 参考教程 - 该教程包含有关 python 的更多信息:https://www.cainiaomax.com/python/
