[Xlsxwriter] Create conditional formatting Excel sheet with pandas + xlsxwriter [pandas] Memo

Overview

• The customer wanted to see the heat map on the Excel sheet.
• I couldn't implement it with openpyxl. (Is it wrong?)
• Use xlsxwriter as engine for pandas to_excel
• Conditional formatting with xlsxwriter
• Use xl_range to specify the cell. (Specify the cell numerically)

Source code

The entire

# xl_If you use range,"B2:C3"Xl_range(2,2,3,3)Can be expressed as.
from xlsxwriter.utility import xl_range
import xlsxwriter
import pandas as pd
import numpy as np

#Data frame for test
df = pd.DataFrame(np.arange(0,9,1).reshape(3,3))

#workbook generation
workbook = xlsxwriter.Workbook(r'./output_storage/hoge.xlsx')
#In xlsxwriter, mode='a'Cannot be used.
writer = pd.ExcelWriter(r'./output_storage/hoge.xlsx',mode='w',engine='xlsxwriter')
sheet_name = 'hoge'

#Write a data frame to a sheet
df.to_excel(writer,sheet_name=sheet_name,startrow=0,index_label='huga')

#Conditional formatting
ws = writer.sheets[sheet_name]
ws.conditional_format(xl_range(2,2,3,3),
                {'type': '3_color_scale',
                       'min_color': "#44c242",
                       'mid_color': "#ebeb44",
                       'max_color': "#eb4444"})
writer.close()

• You can do conditional formatting in Excel like this.

Summary

• There are still many customers who want Excel, so it may be necessary to study.
• It has a good affinity with pandas and seems to be able to respond relatively flexibly.