To sort CSV by a single column, use the sort_values() method. Set the column using which you want to sort in the sort_values() method.
At first, let’s read our CSV file “SalesRecords.csv”with DataFrame −
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\SalesRecords.csv")Sort according to a single column “Car” −
dataFrame.sort_values("Car", axis=0, ascending=True,inplace=True, na_position='first')Next, sort according to a single column “Reg_Price” −
dataFrame.sort_values("Reg_Price", axis=0, ascending=True,inplace=True, na_position='first')Example
Following is the code
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)Output
This will produce the following output
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