Python Bokeh–在图形上绘制补丁
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 可用于在图形上绘制面片。可以使用plotting模块的patch()方法在图形上绘制面片。
标绘.图.补丁()
语法:补丁(参数)
参数:
- x : 面片的 x 坐标
- y : 面片的 y 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 Patch Graph")
# the points to be plotted
x = [0, 1, 2, 3, 4, 5]
y = [5, 2, 8, 5, 0, 10]
# plotting the graph
graph.patch(x, y)
# displaying the model
show(graph)
输出:
示例 2 : 在本例中，我们将使用各种其他参数绘制面片
# 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 Patch 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 = [0, 0, 1, 1, 4, 2, 8, 4]
y = [2.5, 0.5, 0.5, 2.5, 5, 9, 1, 0]
# color value of the patch
color = "yellow"
# fill alpha value of the patch
fill_alpha = 0.5
# name of the legend
legend_label = "Sample Patch"
# plotting the graph
graph.patch(x, y,
color = color,
fill_alpha = fill_alpha,
legend_label = legend_label)
# displaying the model
show(graph)
输出:
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