Скачать или смотреть How to split csv file keeping its header in each smaller files in Python

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Certainly! Below is an informative tutorial on how to split a CSV file into smaller files while keeping the header in each smaller file using Python. The tutorial includes code examples using the pandas library, a popular data manipulation library in Python.
CSV (Comma-Separated Values) files are commonly used for storing tabular data. In some cases, you may need to split a large CSV file into smaller files for easier handling or processing. This tutorial will guide you through the process of splitting a CSV file into smaller files while ensuring that each smaller file retains the original header.
Before you start, make sure you have Python installed on your system. Additionally, install the pandas library if you haven't already:
Start by importing the pandas library, which will be used for reading and manipulating the CSV file.
Use pandas to read the CSV file into a DataFrame.
Specify the number of rows you want in each smaller file. For example, if you want each smaller file to contain 1000 rows:
Iterate through the DataFrame, creating smaller DataFrames with the specified number of rows and saving them as separate CSV files.
By following these steps, you can easily split a large CSV file into smaller files in Python, with each smaller file containing the original header. Adjust the rows_per_file variable to control the number of rows in each smaller file according to your requirements.
Feel free to customize the code to suit your specific needs or integrate it into your data processing pipeline.
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