How to read data from csv file in python

There are two ways to read CSV files using Python: use the csv module: a. Import the csv module b. Open the CSV file c. Create a CSV reader d. Loop through each row using the pandas library: a. Import pandas library b. Read CSV files

How to use Python to read data from CSV files

CSV (comma Delimited values) files are a popular data file format that can be read in a variety of ways in Python. The following are two commonly used methods:

Use the csv module

csv module is used in the Python standard library Module for handling CSV files. Here are the steps to read a CSV file using the csv module:

1. Import the csv module:

   <code class="python">import csv</code>

   Copy after login

2. Open CSV file:

   <code class="python">with open('file.csv', 'r') as f:</code>

   Copy after login

3. Create CSV reader:

   <code class="python">reader = csv.reader(f)</code>

   Copy after login

4. Read each line:

   <code class="python">for row in reader:
    # 行数据存储在 row 中</code>

   Copy after login

Using the pandas library

pandas is a powerful Python library for data analysis and processing. It provides more advanced features for working with CSV files. Here are the steps to read a CSV file using pandas:

1. Import pandas library:

   <code class="python">import pandas as pd</code>

   Copy after login

2. Read CSV file:

   <code class="python">df = pd.read_csv('file.csv')</code>

   Copy after login

Among them:

• df is a Pandas data frame that stores the data of the CSV file.
• 'file.csv' is the path to the CSV file.

Using pandas When reading a CSV file, you can specify delimiters, character encoding, and other options. See the pandas.read_csv() documentation for details.

The above is the detailed content of How to read data from csv file in python. For more information, please follow other related articles on the PHP Chinese website!