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Writing to Excel Spreadsheets with Python: A Comprehensive Guide
You may have encountered the need to export data from your Python program to an Excel spreadsheet. This article explores the various methods and considerations involved in achieving this task.
Available Options
Python offers several libraries for working with Excel spreadsheets, including xlwt, XlsXcessive, and openpyxl. Each library provides its own unique set of features.
CSV Format
Alternatively, you can consider writing to a .csv file. CSV (Comma-Separated Values) format is a simple, text-based format that stores data in columns. However, you may need to format the data appropriately to match the desired layout in Excel.
Formatting with xlwt
In your example, you have used xlwt to create an Excel spreadsheet. To format the cells in the for loop (list1 values), you can use the style module. Here's a modified version of your code:
import xlwt from xlwt import Style, easyxf # Create workbook and sheet book = xlwt.Workbook(encoding="utf-8") sheet1 = book.add_sheet("Sheet 1") # Create styles for different cell types style_title = easyxf('font: bold 1') style_values = easyxf(num_format_str='0.0000000000') # Write headers sheet1.write(0, 0, "Display",>
This updated code uses the easyxf function to define custom cell styles, allowing you to format the list1 values as numbers with a specified number of decimal places.
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