Python Bokeh–在图形上绘制脉冲
原文:https://www.geesforgeks.org/python-bokeh-ploting-plus-on-a-graph/
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。
Bokeh 可用于在图表上绘制加号。可以使用plotting模块的plus()方法在图形上绘制 pluses。
绘图. figure.plus()
语法:加(参数)
参数:
- x : 正标记中心的 x 轴坐标
- y : 加号标记的 y 轴坐标
返回:类的一个对象
GlyphRenderer
示例 1 : 在本例中，我们将使用默认值绘制图表。
# 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 Plus Graph")
# the points to be plotted
x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
y = [i ** 2 for i in x]
# plotting the graph
graph.plus(x, y, size = 20)
# displaying the model
show(graph)
输出:
示例 2 : 在本例中，我们将在其他参数旁边用虚线绘制加号，六边形的大小与其值成比例。
# 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 Plus 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 = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5]
y = [i ** 2 for i in x]
# size of the hexagons
size = [i * 2 for i in y]
# angle of the hexagons
angle = 10
# fill color value
fill_color = None
# color of the line
line_color = "red"
# type of line
line_dash = "dotted"
# offset of line dash
line_dash_offset = 1
# width of the dashes
line_width = 10
# name of the legend
legend_label = "Sample Pluses"
# plotting the graph
graph.plus(x, y,
size = size,
angle = angle,
fill_color = fill_color,
line_color = line_color,
line_dash = line_dash,
line_dash_offset = line_dash_offset,
line_width = line_width,
legend_label = legend_label)
# displaying the model
show(graph)
输出:
