Python Bokeh–制作饼图
原文:https://www.geesforgeks.org/python-bokeh-making-a-pie-chart/
Bokeh 是一个 Python 交互式数据可视化工具。它使用 HTML 和 JavaScript 来渲染它的图。它以现代网络浏览器为呈现目标，提供优雅、简洁的新颖图形结构和高性能交互性。
让我们看看如何在 Bokeh 中绘制饼图。没有为我们提供直接绘制饼图的模块，但是我们可以使用楔形符号来制作饼图。可以使用 bokeh.plotting.figure.wedge() 功能绘制楔形。
在wedge()功能中，主要参数是楔块的x和y 坐标、radius、start_angle 和end_angle坐标。为了将楔形绘制成饼图，所有楔形的x、y和radius 参数都是相同的。我们只调整start_angle和end_angle。
例 1 :
# importing the modules
from bokeh.plotting import figure, output_file, show
# file to save the model
output_file("gfg.html")
# instantiating the figure object
graph = figure(title = "Bokeh Pie Chart")
# center of the pie chart
x = 0
y = 0
# radius of the glyphs
radius = 1
# starting angle values
start_angle = [0, 1.8, 2.5,
3.7, 5.6]
# ending angle values
end_angle = [1.8, 2.5, 3.7,
5.6, 0]
# color of the wedges
color = ["violet", "blue", "green",
"yellow", "red"]
# plotting the graph
graph.wedge(x, y, radius,
start_angle,
end_angle,
color = color)
# displaying the graph
show(graph)
输出:
示例 2 : 在他的示例中，我们将可视化一些数据。在数据中，我们提供了 2017-2018 年 GVA 在印度的行业份额。这些股份是:
Agriculture - 17.1%
Industry - 29.1%
Services - 53.8%
要找到start_angle 和end_angle ，我们需要使用以下公式将百分比转换为弧度:
math.radians((percent / 100) * 360)
# importing the modules
from bokeh.plotting import figure, output_file, show
import math
# file to save the model
output_file("gfg.html")
# instantiating the figure object
graph = figure(title = "Bokeh Pie Chart")
# name of the sectors
sectors = ["Agriculture", "Industry", "Services"]
# % tage weightage of the sectors
percentages = [17.1, 29.1, 53.8]
# converting into radians
radians = [math.radians((percent / 100) * 360) for percent in percentages]
# starting angle values
start_angle = [math.radians(0)]
prev = start_angle[0]
for i in radians[:-1]:
start_angle.append(i + prev)
prev = i + prev
# ending angle values
end_angle = start_angle[1:] + [math.radians(0)]
# center of the pie chart
x = 0
y = 0
# radius of the glyphs
radius = 1
# color of the wedges
color = ["yellow", "red", "lightblue"]
# plotting the graph
for i in range(len(sectors)):
graph.wedge(x, y, radius,
start_angle = start_angle[i],
end_angle = end_angle[i],
color = color[i],
legend_label = sectors[i])
# displaying the graph
show(graph)
输出:
