规范图

仪表图将饼图和甜甜圈图结合起来创建一个“仪表”。第一张图表是四片的甜甜圈图。前三片与仪表的颜色相对应；第四片是甜甜圈的一半，是不可见的。

添加了包含三个切片的饼图。第一片和第三片是不可见的，因此第二片可以充当量表上的指针。

使用数据系列中各个数据点的图形属性来完成效果。

from openpyxl import Workbook

from openpyxl.chart import PieChart, DoughnutChart, Series, Reference
from openpyxl.chart.series import DataPoint


data = [
    ["Donut", "Pie"],
    [25, 75],
    [50, 1],
    [25, 124],
    [100],
]

# based on http://www.excel-easy.com/examples/gauge-chart.html

wb = Workbook()
ws = wb.active
for row in data:
    ws.append(row)

# First chart is a doughnut chart
c1 = DoughnutChart(firstSliceAng=270, holeSize=50)
c1.title = "Code coverage"
c1.legend = None

ref = Reference(ws, min_col=1, min_row=2, max_row=5)
s1 = Series(ref, title_from_data=False)

slices = [DataPoint(idx=i) for i in range(4)]
slices[0].graphicalProperties.solidFill = "FF3300" # red
slices[1].graphicalProperties.solidFill = "FCF305" # yellow
slices[2].graphicalProperties.solidFill = "1FB714" # green
slices[3].graphicalProperties.noFill = True # invisible

s1.data_points = slices
c1.series = [s1]

# Second chart is a pie chart
c2 = PieChart(firstSliceAng=270)
c2.legend = None

ref = Reference(ws, min_col=2, min_row=2, max_col=2, max_row=4)
s2 = Series(ref, title_from_data=False)

slices = [DataPoint(idx=i) for i in range(3)]
slices[0].graphicalProperties.noFill = True # invisible
slices[1].graphicalProperties.solidFill = "000000" # black needle
slices[2].graphicalProperties.noFill = True # invisible
s2.data_points = slices
c2.series = [s2]

c1 += c2 # combine charts

ws.add_chart(c1, "D1")

wb.save("gauge.xlsx")