You can try this, simply using the builtin csv module and dictionary comprehension: import csv data = list(csv.reader(open('file.csv'))) final_data = {i[0]:map(int, i[1:]) for i in zip(*data)} Output: …

Mar 1, 2024 · This snippet uses the csv.reader to read the CSV, then uses zip to combine the header row with each subsequent row, creating a list of dictionaries—one per row—mapping …

Apr 25, 2025 · We can convert data into lists or dictionaries or a combination of both either by using functions csv.reader and csv.dictreader or manually directly and in this article, we will …

Nov 10, 2024 · Learn how to use Python's csv.DictReader to process CSV files using dictionary structures. Handle CSV data efficiently with column headers as dictionary keys.

Using the CSV module: import csv dict1 = {} with open("test.csv", "rb") as infile: reader = csv.reader(infile) headers = next(reader)[1:] for row in reader: dict1[row[0]] = {key: int(value) …

Feb 13, 2024 · Let’s start with the basics by using Python’s built-in csv module to read a CSV file and convert it into a dictionary. # create a csv reader object from the file object . csvreader = …

Dec 21, 2022 · For example, you can read CSV files to Python lists, including readings headers and using custom delimiters. Likewise, you can read CSV files to Python dictionaries. By the …

To read CSV files in Python, we can use the csv.DictReader class from the built-in csv module. The DictReader reads each row into an ordered dictionary where the keys correspond to the …

Apr 7, 2025 · In this article, we will explore the following three methods to extract column names from a CSV file. Using Python's CSV library to read the CSV file line and line and printing the …

Jan 29, 2025 · The csv.DictReader class in Python's csv module is designed to read rows of a CSV file as dictionaries. Each dictionary represents a row in the CSV file, where the keys are …