Prerequisite: Create and Write on an excel file.
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 plot different type of Column charts 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 excel sheet, firstly, create chart object of specific chart type( i.e Column, Stacked Column, Percent Stacked Column chart etc.). After creating chart objects, insert data in it and lastly, add that chart object in the sheet object.
Code #1 : Plot the simple Column Chart.
For plotting the simple Column chart on an excel sheet, use add_chart() method with type ‘column’ keyword argument of a workbook object.
Python3
# import xlsxwriter module import xlsxwriter # Workbook() takes one, non-optional, argument # which is the filename that we want to create. workbook = xlsxwriter.Workbook('chart_column.xlsx') # The workbook object is then used to add new # worksheet via the add_worksheet() method. worksheet = workbook.add_worksheet() # 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}) # create a data list . headings = ['Number', 'Batch 1', 'Batch 2'] data = [ [2, 3, 4, 5, 6, 7], [80, 80, 100, 60, 50, 100], [60, 50, 60, 20, 10, 20], ] # 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 column chart object . chart1 = workbook.add_chart({'type': 'column'}) # 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 data analysis'}) # Add x-axis label chart1.set_x_axis({'name': 'Test number'}) # Add y-axis label chart1.set_y_axis({'name': 'Data length (mm)'}) # Set an Excel chart style. chart1.set_style(11) # add chart to the worksheet # the top-left corner of a chart # is anchored to cell E2 . worksheet.insert_chart('E2', chart1) # Finally, close the Excel file # via the close() method. workbook.close() |
Output:
Code #2 : Plot the Stacked Column Chart.
For plotting the Stacked Column chart on an excel sheet, use add_chart() method with type ‘column’ and subtype ‘stacked’ keyword argument of a workbook object.
Python3
# import xlsxwriter module import xlsxwriter # Workbook() takes one, non-optional, argument # which is the filename that we want to create. workbook = xlsxwriter.Workbook('chart_column2.xlsx') # The workbook object is then used to add new # worksheet via the add_worksheet() method. worksheet = workbook.add_worksheet() # 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}) # create a data list . headings = ['Number', 'Batch 1', 'Batch 2'] data = [ [2, 3, 4, 5, 6, 7], [80, 80, 100, 60, 50, 100], [60, 50, 60, 20, 10, 20], ] # 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 stacked Column chart object . chart1 = workbook.add_chart({'type': 'column', 'subtype': 'stacked'}) # Add a data series to a chart # using add_series method. # Configure the first series. # = Sheet1 !$A$1 is equivalent to ['Sheet1', 0, 0]. chart1.add_series({ 'name': '= Sheet1 !$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 data analysis'}) # Add x-axis label chart1.set_x_axis({'name': 'Test number'}) # Add y-axis label chart1.set_y_axis({'name': 'Data length (mm)'}) # Set an Excel chart style. chart1.set_style(11) # add chart to the worksheet # the top-left corner of a chart # is anchored to cell E2 . worksheet.insert_chart('E2', chart1) # Finally, close the Excel file # via the close() method. workbook.close() |
Output:
Code #3 : Plot the Percent Stacked Column Chart.
For plotting the Percent Stacked Column chart on an excel sheet, use add_chart() method with type ‘Column’ and subtype ‘percent_stacked’ keyword argument of a workbook object.
Python3
# import xlsxwriter module import xlsxwriter # Workbook() takes one, non-optional, argument # which is the filename that we want to create. workbook = xlsxwriter.Workbook('chart_column3.xlsx') # The workbook object is then used to add new # worksheet via the add_worksheet() method. worksheet = workbook.add_worksheet() # 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}) # create a data list . headings = ['Number', 'Batch 1', 'Batch 2'] data = [ [2, 3, 4, 5, 6, 7], [80, 80, 100, 60, 50, 100], [60, 50, 60, 20, 10, 20], ] # 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 percent stacked Column chart object . chart1 = workbook.add_chart({'type': 'column', 'subtype': 'percent_stacked'}) # Add a data series to a chart # using add_series method. # Configure the first series. # = Sheet1 !$A$1 is equivalent to ['Sheet1', 0, 0]. chart1.add_series({ 'name': '= Sheet1 !$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 data analysis'}) # Add x-axis label chart1.set_x_axis({'name': 'Test number'}) # Add y-axis label chart1.set_y_axis({'name': 'Data length (mm)'}) # Set an Excel chart style. chart1.set_style(11) # add chart to the worksheet # the top-left corner of a chart # is anchored to cell E2 . worksheet.insert_chart('E2', chart1) # Finally, close the Excel file # via the close() method. workbook.close() |
Output:
