xlsxwriter on python, Using conditional_format function with '3_color_scale' -


i have pandas dataframe write excel sheet. want format shows heatmap of dataframe.

i figured best way go use worksheet.conditional_format() function {'type': '3_color_scale'} argument.

however, noticed only colors in cells holds integers. wont color has float in it. know how fix issue?

here sample of code. 

writer = pd.excelwriter(file_name, engine='xlsxwriter') df.to_excel(writer, sheet_name=selected_factor, startrow=row_location, startcol=col_location) worksheet = writer.sheets['sheet 1 testing'] worksheet.conditional_format('b8:e17',{'type': '3_color_scale'})

i on python 2.7 , using pandas version 0.15.2.

edit

i figured out why giving me trouble, numbers being saved strings spread sheet not floats.

i don't see issue when run following example. highlights integers , floats:

import pandas pd  # create pandas dataframe data. df = pd.dataframe({'data': [10, 20.5, 30, 40, 50.7, 62, 70]})  # create pandas excel writer using xlsxwriter engine. writer = pd.excelwriter('pandas_conditional.xlsx', engine='xlsxwriter')  # convert dataframe xlsxwriter excel object. df.to_excel(writer, sheet_name='sheet1')  # xlsxwriter workbook , worksheet objects. workbook  = writer.book worksheet = writer.sheets['sheet1']  # apply conditional format cell range. worksheet.conditional_format('b2:b8', {'type': '3_color_scale'})  # close pandas excel writer , output excel file. writer.save()

output:

enter image description here


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