Python | Plotting charts in excel sheet using openpyxl module | Set 3

Last Updated : 19 May, 2021

Prerequisite : Plotting charts in excel sheet using openpyxl module Set – 1 | Set – 2
Openpyxl is a Python library using which one can perform multiple operations on excel files like reading, writing, arithmetic operations and plotting graphs.
Charts are composed of at least one series of one or more data points. Series themselves are comprised of references to cell ranges. Let’s see how to plot Doughnot, Radar, Surface, 3D Surface Chart on an excel sheet using openpyxl.
For plotting the charts on an excel sheet, firstly, create chart object of specific chart class( i.e SurfaceChart, RadarChart etc.). After creating chart objects, insert data in it and lastly, add that chart object in the sheet object. Let’s see how to plot different charts using realtime data.
Code #1 : Plot the Doughnut Chart
Doughnut charts are similar to pie charts except that they use a ring instead of a circle. They can also plot several series of data as concentric rings. For plotting the Doughnut chart on an excel sheet, use DoughnutChart class from openpyxl.chart submodule.

Python3

# import Workbook from openpyxl
from openpyxl import Workbook
 
# import DoughnutChart, Reference from openpyxl.chart sub_module .
from openpyxl.chart import DoughnutChart, Reference
 
# import DataPoint from openpyxl.chart.series class
from openpyxl.chart.series import DataPoint
 
# Call a Workbook() function of openpyxl 
# to create a new blank Workbook object
wb = Workbook()
 
# Get workbook active sheet 
# from the active attribute.
ws = wb.active
 
# data given
data = [
    ['Pie', 2014],
    ['Plain', 40],
    ['Jam', 2],
    ['Lime', 20],
    ['Chocolate', 30],
]
 
# write content of each row in 1st and 2nd
# column of the active sheet respectively .
for row in data:
    ws.append(row)
 
# Create object of DoughnutChart class
chart = DoughnutChart()
 
# create data for plotting
labels = Reference(ws, min_col = 1, min_row = 2, max_row = 5)
data = Reference(ws, min_col = 2, min_row = 1, max_row = 5)
 
# adding data to the Doughnut chart object
chart.add_data(data, titles_from_data = True)
 
# set labels in the chart object
chart.set_categories(labels)
 
# set the title of the chart
chart.title = "Doughnuts Chart"
 
# set style of the chart
chart.style = 26
 
# add chart to the sheet
# the top-left corner of a chart
# is anchored to cell E1 .
ws.add_chart(chart, "E1")
 
# save the file
wb.save("doughnut.xlsx")

Output:

Code #2: Plot the Radar Chart
Data that is arranged in columns or rows on a worksheet can be plotted in a radar chart. Radar charts compare the aggregate values of multiple data series. It is effectively a projection of an area chart on a circular x-axis. For plotting the Radar chart on an excel sheet, use RadarChart class from openpyxl.chart submodule.

Python3

# import Workbook from openpyxl
from openpyxl import Workbook
 
# import RadarChart, Reference from openpyxl.chart sub_module .
from openpyxl.chart import RadarChart, Reference
 
# Call a Workbook() function of openpyxl 
# to create a new blank Workbook object
wb = Workbook()
 
# Get workbook active sheet 
# from the active attribute.
ws = wb.active
 
# data given
data = [
    ['Month', "Bulbs", "Seeds", "Flowers", "Trees & shrubs"],
    ['Jan', 0, 2500, 500, 0, ],
    ['Feb', 0, 5500, 750, 1500],
    ['Mar', 0, 9000, 1500, 2500],
    ['Apr', 0, 6500, 2000, 4000],
    ['May', 0, 3500, 5500, 3500],
    ['Jun', 0, 0, 7500, 1500],
    ['Jul', 0, 0, 8500, 800],
    ['Aug', 1500, 0, 7000, 550],
    ['Sep', 5000, 0, 3500, 2500],
    ['Oct', 8500, 0, 2500, 6000],
    ['Nov', 3500, 0, 500, 5500],
    ['Dec', 500, 0, 100, 3000 ],
]
 
# write content of each row in 1st and 2nd
# column of the active sheet respectively .
for row in data:
    ws.append(row)
 
# Create object of RadarChart class
chart = RadarChart()
 
# filled type of radar chart
chart.type = "filled"
 
# create data for plotting
labels = Reference(ws, min_col = 1, min_row = 2, max_row = 13)
data = Reference(ws, min_col = 2, max_col = 5, min_row = 2, max_row = 13)
 
# adding data to the Radar chart object
chart.add_data(data, titles_from_data = True)
 
# set labels in the chart object
chart.set_categories(labels)
 
# set the title of the chart
chart.title = "Radar Chart"
 
# set style of the chart
chart.style = 26
 
# delete y axis from the chart
chart.y_axis.delete = True
 
# add chart to the sheet
# the top-left corner of a chart
# is anchored to cell G2 .
ws.add_chart(chart, "G2")
 
# save the file
wb.save("Radar.xlsx")

Output:

Code #3 : Plot The Surface Chart
Data that is arranged in columns or rows on a worksheet can be plotted in a surface chart. A surface chart is useful when you want to find optimum combinations between two sets of data. As in a topographic map, colors and patterns indicate areas that are in the same range of values. For plotting the Surface chart on an excel sheet, use SurfaceChart class from openpyxl.chart submodule.

Python3

# import Workbook from openpyxl
from openpyxl import Workbook
 
# import SurfaceChart, Reference, Series from openpyxl.chart sub_module .
from openpyxl.chart import SurfaceChart, Reference, Series
 
# Call a Workbook() function of openpyxl 
# to create a new blank Workbook object
wb = Workbook()
 
# Get workbook active sheet 
# from the active attribute.
ws = wb.active
 
# given data
data = [
    [None, 10, 20, 30, 40, 50, ],
    [0.1, 15, 65, 105, 65, 15, ],
    [0.2, 35, 105, 170, 105, 35, ],
    [0.3, 55, 135, 215, 135, 55, ],
    [0.4, 75, 155, 240, 155, 75, ],
    [0.5, 80, 190, 245, 190, 80, ],
    [0.6, 75, 155, 240, 155, 75, ],
    [0.7, 55, 135, 215, 135, 55, ],
    [0.8, 35, 105, 170, 105, 35, ],
    [0.9, 15, 65, 105, 65, 15],
]
 
# write content of each row in 1st and 2nd
# column of the active sheet respectively .
for row in data:
    ws.append(row)
 
# Create object of SurfaceChart class
chart = SurfaceChart()
 
# create data for plotting
labels = Reference(ws, min_col = 1, min_row = 2, max_row = 10)
data = Reference(ws, min_col = 2, max_col = 6, min_row = 1, max_row = 10)
 
# adding data to the Surface chart object
chart.add_data(data, titles_from_data = True)
 
# set labels in the chart object
chart.set_categories(labels)
 
# set the title of the chart
chart.title = "Surface Chart"
 
# set style of the chart
chart.style = 26
 
# add chart to the sheet
# the top-left corner of a chart
# is anchored to cell H2 .
ws.add_chart(chart, "H2")
 
# save the file
wb.save("Surface.xlsx")

Output:

Code #4 : Plot the Surface 3D chart
For plotting the 3D Surface chart on an excel sheet, use SurfaceChart3D class from openpyxl.chart submodule.

Python3

# import Workbook from openpyxl
from openpyxl import Workbook
 
# import SurfaceChart3D, Reference, Series from openpyxl.chart sub_module .
from openpyxl.chart import SurfaceChart3D, Reference, Series
 
# Call a Workbook() function of openpyxl 
# to create a new blank Workbook object
wb = Workbook()
 
# Get workbook active sheet 
# from the active attribute.
ws = wb.active
 
# given data
data = [
    [None, 10, 20, 30, 40, 50, ],
    [0.1, 15, 65, 105, 65, 15, ],
    [0.2, 35, 105, 170, 105, 35, ],
    [0.3, 55, 135, 215, 135, 55, ],
    [0.4, 75, 155, 240, 155, 75, ],
    [0.5, 80, 190, 245, 190, 80, ],
    [0.6, 75, 155, 240, 155, 75, ],
    [0.7, 55, 135, 215, 135, 55, ],
    [0.8, 35, 105, 170, 105, 35, ],
    [0.9, 15, 65, 105, 65, 15],
]
 
# write content of each row in 1st and 2nd
# column of the active sheet respectively .
for row in data:
    ws.append(row)
 
# Create object of SurfaceChart3D class
chart = SurfaceChart3D()
 
# create data for plotting
labels = Reference(ws, min_col = 1, min_row = 2, max_row = 10)
data = Reference(ws, min_col = 2, max_col = 6, min_row = 1, max_row = 10)
 
# adding data to the Surface chart 3D object
chart.add_data(data, titles_from_data = True)
 
# set labels in the chart object
chart.set_categories(labels)
 
# set the title of the chart
chart.title = "Surface Chart 3D"
 
# set style of the chart
chart.style = 26
 
# add chart to the sheet
# the top-left corner of a chart
# is anchored to cell H2 .
ws.add_chart(chart, "H2")
 
# save the file
wb.save("Surface3D.xlsx")