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Rename column name with an index number of the CSV file in Pandas
Using columns.values(), we can easily rename column name with index number of a CSV file.
Let’s say the following are the contents of our CSV file opened in Microsoft Excel −
We will rename the column names. At first, load data from a CSV file into a Pandas DataFrame −
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesData.csv")Display all the column names from the CSV −
dataFrame.columns
Now, rename column names −
dataFrame.columns.values[0] = "Car Names" dataFrame.columns.values[1] = "Registration Cost" dataFrame.columns.values[2] = "Units Sold"
Example
Following is the code −
import pandas as pd
# Load data from a CSV file into a Pandas DataFrame:
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\SalesData.csv")
print("Reading the CSV file...\n",dataFrame)
# displaying column names
res = dataFrame.columns
# displaying another subset
print("\nDisplaying column names : \n",res)
# rename column names from the CSV file
dataFrame.columns.values[0] = "Car Names"
dataFrame.columns.values[1] = "Registration Cost"
dataFrame.columns.values[2] = "Units Sold"
print("\nDisplaying updated column names : \n",res)Output
This will produce the following output −
Reading the CSV file... Car Reg_Price Units 0 BMW 2500 100 1 Lexus 3500 80 2 Audi 2500 120 3 Jaguar 2000 70 4 Mustang 2500 110 Displaying column names : Index(['Car','Reg_Price','Units'], dtype='object') Displaying updated column names : Index(['Car Names','Registration Cost','Units Sold'], dtype='object')
Updated on: 30-Sep-2021
2K+ Views
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