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>

2. Open CSV file:

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

3. Create CSV reader:

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

4. Read each line:

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

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>

2. Read CSV file:

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

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.

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