text: #######################################################################
  #
  # An example of creating Excel Column charts with Python and XlsxWriter.
  #
  # Copyright 2013-2016, John McNamara, jmcnamara@cpan.org
  #
  import xlsxwriter
  
  workbook = xlsxwriter.Workbook('chart_column.xlsx')
  worksheet = workbook.add_worksheet()
  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],
  ]
  
  worksheet.write_row('A1', headings, bold)
  worksheet.write_column('A2', data[0])
  worksheet.write_column('B2', data[1])
  worksheet.write_column('C2', data[2])
  
  #######################################################################
  #
  # Create a new column chart.
  #
  chart1 = workbook.add_chart({'type': 'column'})
  
  # Configure the first series.
  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.
  chart1.add_series({
      'name':       ['Sheet1', 0, 2],
      'categories': ['Sheet1', 1, 0, 6, 0],
      'values':     ['Sheet1', 1, 2, 6, 2],
  })
  
  # Add a chart title and some axis labels.
  chart1.set_title ({'name': 'Results of sample analysis'})
  chart1.set_x_axis({'name': 'Test number'})
  chart1.set_y_axis({'name': 'Sample length (mm)'})
  
  # Set an Excel chart style.
  chart1.set_style(11)
  
  # Insert the chart into the worksheet (with an offset).
  worksheet.insert_chart('D2', chart1, {'x_offset': 25, 'y_offset': 10})
  
  #######################################################################
  #
  # Create a stacked chart sub-type.
  #
  chart2 = workbook.add_chart({'type': 'column', 'subtype': 'stacked'})
  
  # Configure the first series.
  chart2.add_series({
      'name':       '=Sheet1!$B$1',
      'categories': '=Sheet1!$A$2:$A$7',
      'values':     '=Sheet1!$B$2:$B$7',
  })
  
  # Configure second series.
  chart2.add_series({
      'name':       '=Sheet1!$C$1',
      'categories': '=Sheet1!$A$2:$A$7',
      'values':     '=Sheet1!$C$2:$C$7',
  })
  
  # Add a chart title and some axis labels.
  chart2.set_title ({'name': 'Stacked Chart'})
  chart2.set_x_axis({'name': 'Test number'})
  chart2.set_y_axis({'name': 'Sample length (mm)'})
  
  # Set an Excel chart style.
  chart2.set_style(12)
  
  # Insert the chart into the worksheet (with an offset).
  worksheet.insert_chart('D18', chart2, {'x_offset': 25, 'y_offset': 10})
  
  #######################################################################
  #
  # Create a percentage stacked chart sub-type.
  #
  chart3 = workbook.add_chart({'type': 'column', 'subtype': 'percent_stacked'})
  
  # Configure the first series.
  chart3.add_series({
      'name':       '=Sheet1!$B$1',
      'categories': '=Sheet1!$A$2:$A$7',
      'values':     '=Sheet1!$B$2:$B$7',
  })
  
  # Configure second series.
  chart3.add_series({
      'name':       '=Sheet1!$C$1',
      'categories': '=Sheet1!$A$2:$A$7',
      'values':     '=Sheet1!$C$2:$C$7',
  })
  
  # Add a chart title and some axis labels.
  chart3.set_title ({'name': 'Percent Stacked Chart'})
  chart3.set_x_axis({'name': 'Test number'})
  chart3.set_y_axis({'name': 'Sample length (mm)'})
  
  # Set an Excel chart style.
  chart3.set_style(13)
  
  # Insert the chart into the worksheet (with an offset).
  worksheet.insert_chart('D34', chart3, {'x_offset': 25, 'y_offset': 10})
  
  workbook.close()
  