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How to read data from csv file in python

Mar 28, 2024 pm 10:33 PM
csv file standard library

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 read data from csv file in python

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:

    import csv
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  2. Open CSV file:

    with open('file.csv', 'r') as f:
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  3. Create CSV reader:

    reader = csv.reader(f)
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  4. Read each line:

    for row in reader:
     # 行数据存储在 row 中
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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:

    import pandas as pd
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  2. Read CSV file:

    df = pd.read_csv('file.csv')
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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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