Example of creating a clustered Excel chart where there are two levels of category on the X axis.
The categories in clustered charts are 2D ranges, instead of the more normal 1D ranges. The series are shown as formula strings for clarity but you can also use the a list syntax.
#######################################################################
#
# A demo of a clustered category chart in XlsxWriter.
#
# Copyright 2013-2016, John McNamara, jmcnamara@cpan.org
#
from xlsxwriter.workbook import Workbook
workbook = Workbook('chart_clustered.xlsx')
worksheet = workbook.add_worksheet()
bold = workbook.add_format({'bold': 1})
# Add the worksheet data that the charts will refer to.
headings = ['Types', 'Sub Type', 'Value 1', 'Value 2', 'Value 3']
data = [
['Type 1', 'Sub Type A', 5000, 8000, 6000],
['', 'Sub Type B', 2000, 3000, 4000],
['', 'Sub Type C', 250, 1000, 2000],
['Type 2', 'Sub Type D', 6000, 6000, 6500],
['', 'Sub Type E', 500, 300, 200],
]
worksheet.write_row('A1', headings, bold)
for row_num, row_data in enumerate(data):
worksheet.write_row(row_num + 1, 0, row_data)
# Create a new chart object. In this case an embedded chart.
chart = workbook.add_chart({'type': 'column'})
# Configure the series. Note, that the categories are 2D ranges (from column A
# to column B). This creates the clusters. The series are shown as formula
# strings for clarity but you can also use the list syntax. See the docs.
chart.add_series({
'name': '=Sheet1!$C$1',
'categories': '=Sheet1!$A$2:$B$6',
'values': '=Sheet1!$C$2:$C$6',
})
chart.add_series({
'name': '=Sheet1!$D$1',
'categories': '=Sheet1!$A$2:$B$6',
'values': '=Sheet1!$D$2:$D$6',
})
chart.add_series({
'name': '=Sheet1!$E$1',
'categories': '=Sheet1!$A$2:$B$6',
'values': '=Sheet1!$E$2:$E$6',
})
# Set the Excel chart style.
chart.set_style(37)
# Turn off the legend.
chart.set_legend({'position': 'none'})
# Insert the chart into the worksheet.
worksheet.insert_chart('G3', chart)
workbook.close()