Python Bokeh–在图形上绘制多个面片
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多个面片。可以使用plotting模块的patches()方法在图形上绘制多个面片。
绘图.图.补丁()
语法:补丁(参数)
参数:
- xs : 面片的 x 坐标
- ys : 斑块的 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 Patches Graph")
# the points to be plotted
xs = [[1, 2, 3], [3, 5, 3, 5]]
ys = [[1, 2, 1], [2, 2, 4, 5]]
# plotting the graph
graph.patches(xs, ys)
# 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 Patches 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
xs = [[1, 2, 3], [3, 5, 5, 3]]
ys = [[1, 2, 1], [4, 4, 2, 2]]
# color value of the patches
color = ["green", "red"]
# fill alpha value of the patches
fill_alpha = 1
# plotting the graph
graph.patches(xs, ys,
color = color,
fill_alpha = fill_alpha)
# displaying the model
show(graph)
输出:
