How to highlight rows based on content in Excel Dataframe?
You can do it with different excel library, like openpyxl
You can format each cell separatelyFor example:
from openpyxl import Workbookfrom openpyxl.styles import Font, Color, colors, fillsfrom openpyxl.utils.dataframe import dataframe_to_rowswb = Workbook()ws = wb.activefor r in dataframe_to_rows(df, index=False, header=True): ws.append(r)a1 = ws['A1']a1.font = Font(color="FF0000")a1.fill = fills.PatternFill(patternType='solid', fgColor=Color(rgb='00FF00'))wb.save("pandas_openpyxl.xlsx")They have great documentation here: https://openpyxl.readthedocs.io/en/stable/pandas.html
If you want to continue using the xlsxwriter Python module you may use the write(…) method on the worksheet object to set the contents and formatting of a cell in one step.
You will have to break up your to_excel() method and write each DataFrame value individually in a loop.
Example cell creation and formatting call:
cell_format = workbook.add_format({'bold': True, 'italic': True})# inside a loop iterating over your DataFrameworksheet.write(row, column, value, cell_format) # Cell is bold and italic.