Python Bokeh – 在图上绘制六边形箱

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 可用于在图表上绘制六边形图块。可以使用plotting模块的hexbin()方法在图形上绘制六边形图块。

plotting.figure.hexbin()

Syntax : hexbin(parameters)

Parameters :

x : NumPy array of x-coordinates of the hexagon tile bins
y : NumPy array of y-coordinates of the hexagon tile bins
size : radius of the hexagonal tile bins, default is 1
palette : orientation value, default is Viridis256
orientation : palette to colormap the bins, default is pointytop
line_color : color of the line, default is black
fill_color : fill color value of the hexagon tile bin markers
aspect_scale : aspect ratio scaling value

Any additional keyword arguments are passed to hex_tile().

Returns : an object of class GlyphRenderer and DataFrame

编程需要懂一点英语

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 
import numpy as np
  
# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Hexagon Bin Graph") 
    
# the points to be plotted 
x = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
y = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])
  
# plotting the graph 
graph.hexbin(x, y, size = 1) 
     
# displaying the model 
show(graph)

输出：

示例 2：在此示例中，我们将使用各种参数绘制六边形箱

# importing the modules 
from bokeh.plotting import figure, output_file, show 
import numpy as np
  
# file to save the model 
output_file("gfg.html") 
       
# instantiating the figure object 
graph = figure(title = "Bokeh Hexagon Bin Graph") 
  
# name of the x-axis 
graph.xaxis.axis_label = "x-axis"
       
# name of the y-axis 
graph.yaxis.axis_label = "y-axis"
    
# the points to be plotted 
x = np.random.standard_normal(500)
y = np.random.standard_normal(500)
  
# size of the bins
size = 0.5
  
# color palette of the graph
palette = "Plasma256"
  
# plotting the graph 
graph.hexbin(x, y,
             size = 0.5,
             palette = palette) 
     
# displaying the model 
show(graph)

输出：

在评论中写代码？请使用 ide.geeksforgeeks.org，生成链接并在此处分享链接。