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Opening and reading CSV files in Python can be done efficiently using either the built-in csv module or the pandas library, depending on your needs.
Using the csv Module
Step 1: Import and Open File Use Python’s built-in csv module for lightweight CSV reading.
import csvwith open('data.csv', mode='r', newline='', encoding='utf-8') as file:csv_reader = csv.reader(file)for row in csv_reader:print(row)Copied!âś•Copynewline='' ensures correct handling of line breaks.
Each row is returned as a list of strings.
Step 2: Read as Dictionary If you want column names as keys:
import csvwith open('data.csv', mode='r', encoding='utf-8') as file:dict_reader = csv.DictReader(file)for row in dict_reader:print(row) # Each row is a dictionaryCopied!âś•CopyThis is useful for structured data access.
Using the pandas Library
For large datasets or advanced analysis, pandas is more powerful.
import pandas as pddf = pd.read_csv('data.csv')print(df)Copied!âś•Copy Reading CSV files in Python - GeeksforGeeks
Jul 12, 2025 · Example: This code reads and prints the contents of a CSV file named 'Giants.csv' using the csv module in Python. It opens the file in read mode, reads the lines, and prints them one by one …
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