csv to excel python pandas
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In this tutorial, we will explore how to convert a CSV (Comma Separated Values) file to an Excel file using the powerful Python library called Pandas. Pandas provides easy-to-use data structures and functions for working with structured data, making it an excellent choice for handling CSV and Excel files.
Python Installation: Make sure you have Python installed on your system. You can download it from python.org.
Pandas Installation: Install Pandas using the following command in your terminal or command prompt:
Assuming you have a CSV file named input.csv, use the following code to load the data into a Pandas DataFrame:
Now that we have loaded the CSV data into a Pandas DataFrame, we can easily convert it to an Excel file using the to_excel function:
The index=False parameter ensures that the DataFrame index is not written to the Excel file.
Here is the complete Python script:
Save the script with a .py extension, for example, csv_to_excel.py. Run it using the following command:
This will execute the script, and you should see the message "Conversion successful. Excel file saved at {excel_file_path}" if everything went well.
Congratulations! You have successfully converted a CSV file to an Excel file using Python and Pandas. You can now use the generated Excel file for further analysis or share it with others.
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