Add a Column to Existing CSV File in Python Last Updated : 28 Apr, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report Working with CSV files is a common task in data manipulation and analysis, and Python provides versatile tools to streamline this process. Here, we have an existing CSV file and our task is to add a new column to the existing CSV file in Python. In this article, we will see how we can add a column to a CSV file in Python. Add a New Column to Existing CSV File in PythonBelow, are examples of how to Add a New Column to an Existing CSV File in Python. Let's consider an example of an existing CSV file with some sample data. Suppose your existing CSV file, named mon.csv, looks like this: mon.csv mon.csvExample 1: Add New Column to Existing CSV Using PandasPandas is a powerful data manipulation library in Python that makes working with tabular data seamless. Here's how you can use Pandas to add a new column to an existing CSV file: In this example, below Python code utilizes the Pandas library to add a new 'City' column with predefined values to an existing CSV file ('mon.csv'). It reads the CSV into a DataFrame, appends the new column, and writes the updated DataFrame back to the same CSV file. Python3 import pandas as pd # Step 1: Read the CSV file into a DataFrame csv_file_path = 'mon.csv' df = pd.read_csv(csv_file_path) # Step 2: Define the values for the new "City" column new_city_values = ['New York', 'Los Angeles', 'Chicago', 'San Francisco'] # Step 3: Add the new "City" column to the DataFrame df['City'] = new_city_values # Step 4: Write the DataFrame back to the CSV file df.to_csv(csv_file_path, index=False) Output: updatedExample 2: Add New Column to Existing CSV Using CSV ModuleThe built-in csv module in Python also allows us to work with CSV files. Here's how you can add a new column using the csv module: In this example, below code reads the content of an existing CSV file named 'mon.csv' into a list of lists using the CSV module. It then adds a new column header 'City' to the first row and appends corresponding values to each subsequent row from the 'new_city_values' list Python3 import csv # Step 1: Read the existing CSV file and store its content csv_file_path = 'mon.csv' with open(csv_file_path, 'r') as file: reader = csv.reader(file) data = list(reader) # Step 2: Define the values for the new "City" column new_city_values = ['New York', 'Los Angeles', 'Chicago', 'San Francisco'] # Step 3: Add the new "City" column header to the first row of the data data[0].append('City') # Step 4: Add the new "City" column values to the remaining rows of the data for i in range(1, len(data)): data[i].append(new_city_values[i - 1]) # Step 5: Write the updated data back to the CSV file with open(csv_file_path, 'w', newline='') as file: writer = csv.writer(file) writer.writerows(data) Output: updated Comment More infoAdvertise with us Next Article Exporting variable to CSV file in Python J jaditi930 Follow Improve Article Tags : Python Python-pandas python-csv Practice Tags : python Similar Reads Delete a CSV Column in Python The comma-separated values ââ(CSV) file is a delimited text file that uses commas for individual values. 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