Introduction
Reading and writing data is an essential part of any programming task. In this article, we will explore how to use Python’s built-in libraries to read comma-separated values (CSV) files.
Python provides a powerful library called `csv` that allows you to easily read and write CSV files. The `csv` module can be used to handle various tasks such as reading and writing data from CSV files, handling missing or invalid data, and more.
To get started with the `csv` module in Python, you will need to import it into your script using the following code:
“`python
import csv
“`
Once imported, you can use the `reader()` function to read a CSV file. The `reader()` function returns an iterator that allows you to iterate over each row of data in the CSV file.
Here is an example of how to use the `reader()` function:
“`python
with open(‘data.csv’, ‘r’) as csvfile:
reader = csv.reader(csvfile)
for row in reader:
print(row)
“`
In this example, we are reading a CSV file named `data.csv` and printing each row of data. The `csv.reader()` function returns an iterator that allows us to iterate over each row of data.
You can also use the `DictReader()` class from the `csv` module to read a CSV file into a dictionary where the keys are the column names and the values are the corresponding cell values in the CSV file.
“`python
with open(‘data.csv’, ‘r’) as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
print(row[‘column1’], row[‘column2’])
“`
In this example, we are reading a CSV file named `data.csv` and printing the values of two specific columns.
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Conclusion
In this article, we have explored how to use Python’s `csv` module to read comma-separated values (CSV) files. We have covered the basics of using the `reader()` function and the `DictReader()` class from the `csv` module.
Whether you are a beginner or an experienced programmer, understanding how to work with CSV files is essential for any programming task. With Python’s built-in libraries, reading and writing data has never been easier.