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()
Syntax : scatter(parameters)
Parameters :
- x : x-coordinates of the center of the glyphs
- y : y-coordinates of the center of the glyphs
- marker : signifies the type of the glyph
Returns : an object of class GlyphRenderer
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 :
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