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Data Analysis & Processing with Pandas

Creating a DataFrame From a File

Explore how to create DataFrames from files using Pandas by reading CSVs and other formats. Learn to customize data import with options like headers, column selection, and row limits to better manage your datasets for analysis.

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Read a CSV file

In the real world, most data is stored in a file. The most common file type is a CSV. If you want to analyze the data, the first step is to read the data from the file. pandas supports multiple file types, like CSV, TSV, and Excel.

There are some commonly used parameters in the read_csv function.

  • sep
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