Python | Adding a Chartsheet in an excel sheet using XlsxWriter module

Prerequisite: Create and Write on an excel sheet

XlsxWriter is a Python library using which one can perform multiple operations on excel files like creating, writing, arithmetic operations and plotting graphs. Let’s see how to add a chartsheet in an excel sheet and plot line chart on it, using realtime data.

Charts are composed of at least one series of one or more data points. Series themselves are comprised of references to cell ranges. For plotting the charts on an chartsheet, firstly, create chart object of specific chart type( i.e Line chart etc.). After creating chart objects, insert data in it and lastly, add that chart object in the chartsheet object.

Code : Adding the chartsheet in an excel sheet.
For creating a worksheet that only holds a chart we are using add_chartsheet() method of workbook object.

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# Python3 program for adding a chartsheet 
# in an excel sheet using xlsxwriter
  
# we import xlsxwriter module 
import xlsxwriter
  
# Workbook() takes one, non-optional, argument   
# which is the filename that we want to create.
workbook = xlsxwriter.Workbook('chartsheet.xlsx')
  
# The workbook object is then used to add new   
# worksheet via the add_worksheet() method.  
worksheet = workbook.add_worksheet()
  
# create a worksheet that only holds a chart
# using add_chartsheet() method of workbook object.
chartsheet = workbook.add_chartsheet()
  
# Create a new Format object to formats cells 
# in worksheets using add_format() method . 
    
# here we create bold format object 
bold = workbook.add_format({'bold': 1})
  
# Add the worksheet data that the charts will refer to.
headings = ['Number', 'Batch 1', 'Batch 2']
data = [
    [2, 3, 4, 5, 6, 7],
    [10, 40, 50, 20, 10, 50],
    [30, 60, 70, 50, 40, 30],
]
  
# Write a row of data starting from 'A1' 
# with bold format . 
worksheet.write_row('A1', headings, bold)
  
# Write a column of data starting from  
# 'A2', 'B2', 'C2' respectively . 
worksheet.write_column('A2', data[0])
worksheet.write_column('B2', data[1])
worksheet.write_column('C2', data[2])
  
  
# Create a chart object that can be added 
# to a worksheet using add_chart() method. 
  
# here we create a line chart object . 
chart1 = workbook.add_chart({'type': 'line'})
  
# Add a data series to a chart 
# using add_series method. 
    
# Configure the first series. 
# = Sheet1 !$A$1 is equivalent to ['Sheet1', 0, 0].
  
# note : spaces is not inserted in b / w
# = and Sheet1, Sheet1 and !
# if space is inserted it throws warning.
chart1.add_series({
    'name':       '= Sheet1 !$B$1',
    'categories': '= Sheet1 !$A$2:$A$7',
    'values':     '= Sheet1 !$B$2:$B$7',})
  
  
# Configure a second series. 
# Note use of alternative syntax to define ranges. 
# [sheetname, first_row, first_col, last_row, last_col]. 
chart1.add_series({
    'name':       ['Sheet1', 0, 2],
    'categories': ['Sheet1', 1, 0, 6, 0],
    'values':     ['Sheet1', 1, 2, 6, 2],})
  
# Add a chart title  
chart1.set_title ({'name': 'Results of sample analysis'})
  
# Add x-axis label 
chart1.set_x_axis({'name': 'Test number'})
  
# Add y-axis label 
chart1.set_y_axis({'name': 'Sample length (mm)'})
  
# Set an Excel chart style.
chart1.set_style(11)
  
# Add the chart to the chartsheet.
chartsheet.set_chart(chart1)
  
# Display the chartsheet as the
# active sheet when the workbook is opened.
chartsheet.activate();
  
# Finally, close the Excel file  
# via the close() method. 
workbook.close()

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Output :
output1
output1



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