How Can I Export Python Data to Excel Without Office?

Using Python to Export Data to an Excel Spreadsheet

Exchanging data between programs and Excel spreadsheets is a common task in software development. In Python, there are several modules available for this purpose, including xlwt, XlsXcessive, and openpyxl. However, these modules require Office to be installed, which may not always be feasible.

Achieving Cross-Platform Compatibility

To ensure compatibility across various platforms, we suggest using pandas' DataFrame.to_excel method. This method allows you to export a DataFrame to an Excel spreadsheet without the need for Office.

Converting Data to a DataFrame

Before exporting, convert your data into a DataFrame. A DataFrame is a data structure that stores data in a tabular form and offers various data manipulation capabilities.

import pandas as pd
l1 = [1, 2, 3, 4]
l2 = [1, 2, 3, 4]
df = pd.DataFrame({'Stimulus Time': l1, 'Reaction Time': l2})

Exporting the DataFrame to Excel

Once the data is in a DataFrame, you can export it to Excel using the to_excel method.

df.to_excel('test.xlsx', sheet_name='sheet1', index=False)

Formatting Cells (Optional)

By default, the exported data will be in a text format. If you want to format specific cells, such as applying scientific notation, you can use the num_format parameter.

df.to_excel('test.xlsx', sheet_name='sheet1', index=False, num_format={'Stimulus Time': '0.0000000000', 'Reaction Time': '0.0000000000'})

Conclusion

Using the pandas' DataFrame.to_excel method is an effective and cross-platform solution for exporting data from Python to Excel spreadsheets.

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