📜  Python Bokeh – 在图上绘制散点图

📅  最后修改于: 2022-05-13 01:54:55.203000             🧑  作者: Mango

Python Bokeh – 在图上绘制散点图

Bokeh 是一个Python交互式数据可视化。它使用 HTML 和 JavaScript 渲染其绘图。它针对现代 Web 浏览器进行演示,提供具有高性能交互性的新颖图形的优雅、简洁构造。

Bokeh 可用于在图形上绘制散点图。可以使用plotting模块的scatter()方法在图形上绘制正方形。

plotting.figure.scatter()

示例 1:在此示例中,我们将使用默认值来绘制图形。

# 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 Scatter Graph")
      
# the points to be plotted
x = [1, 2, 3, 4, 5]
y = [1, 2, 3, 4, 5]
     
# plotting the graph
graph.scatter(x, y)
      
# displaying the model
show(graph)

输出 :

示例 2:在此示例中,我们将使用各种其他参数绘制多个散点

# importing the modules 
from bokeh.plotting import figure, output_file, show 
from bokeh.palettes import magma
import random
  
# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Scatter Graph") 
  
# name of the x-axis 
graph.xaxis.axis_label = "x-axis"
       
# name of the y-axis 
graph.yaxis.axis_label = "y-axis"
  
# points to be plotted
x = [n for n in range(256)]
y = [random.random() + 1 for n in range(256)]
size = 10
  
# color value of the scatter points
color = magma(256)
  
# plotting the graph 
graph.scatter(x, y,
              size = size,
              color = color) 
       
# displaying the model 
show(graph)

输出 :