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How to Sort CSV by multiple columns in Python ?
To sort CSV by multiple columns, use the sort_values() method. Sorting by multiple columns means if one of the columns has repeated values, then the sort order depends on the 2nd column mentioned under sort_values() method.
At first, let us read our input CSV file “SalesRecords.csv” −
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesRecords.csv")Let us now sort according to multiple columns i.e. “Reg_Price” and “Car” −
dataFrame.sort_values(["Reg_Price","Car"],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 multiple columns
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)Output
This will produce the following output −
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
Updated on: 04-Oct-2021
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