Python Bokeh–在图形上绘制 Xs
原文:https://www.geesforgeks.org/python-bokeh-ploging-xs-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 Xs。可以使用plotting模块的x()方法在图形上绘制 Xs。
标绘. figure.x()
语法: x(参数)
参数:
- x : x 标记中心的 x 坐标
- y:x 标记中心的 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 X Graph")
# the points to be plotted
x = 0
y = 0
# plotting the graph
graph.x(x, y, size = 30)
# 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多个 Xs。
# 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 X 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 = [3, 3, 5]
y = [3, 1, 3]
size = [130, 100, 60]
# color value of the Xs
color = ["yellow", "red", "purple"]
# fill alpha value of the Xs
fill_alpha = [0.9, 0.7, 0.5]
# line width of the Xs
line_width = [10, 15, 5]
# plotting the graph
graph.x(x, y,
size = size,
color = color,
fill_alpha = fill_alpha,
line_width = line_width)
# displaying the model
show(graph)
输出:
