Working with CSV files is crucial in data analysis and Python provides the CSV module specifically for reading and writing data in this format. This tutorial will walk you through how to install and how to use the CSV module in Python 3.
Step 1: Verify Your Python Installation
The first step is to verify that Python is installed on your computer. You can check which version of Python is installed by typing the following command into your terminal:
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python --version |
If Python is installed correctly, it should display the current version of Python that’s running on your machine.
Step 2: Load the CSV module
The CSV module in Python 3 does not require any separate installation. It comes as a standard library with Python. All you need to do is import the CSV library into your Python script.
Below is the code to import CSV module:
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import csv |
Step 3: Reading A CSV File
To read a CSV file using Python, we use the csv.reader() function. It reads the CSV file into a list of strings where each string represents a row in the file.
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import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for row in reader: print(row) |
In the above code, each row in file.csv is printed as a list of strings.
Whole Code Up To This Point
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import csv with open('file.csv', 'r') as file: reader = csv.reader(file) for row in reader: print(row) |
Conclusion
This tutorial provided a quick guide on how to install and use the CSV module in Python 3. Remember, the CSV module does not require manual installation as it’s included in the standard Python library. Now you can read and write CSV files in your Python applications.