Last Updated : 10 Jul, 2020
Bokeh is a Python interactive data visualization. It renders its plots using HTML and JavaScript. It targets modern web browsers for presentation providing elegant, concise construction of novel graphics with high-performance interactivity. Bokeh can be used to plot Xs on a graph. Plotting Xs on a graph can be done using the
x()
method of the
plotting
module.
plotting.figure.x()Syntax : x(parameters) Parameters :Example 1 :Returns : an object of class
- x : x-coordinates of the center of the x markers
- y : y-coordinates of the center of the x markers
GlyphRenderer
In this example we will be using the default values for plotting the graph.
Python3
# 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)
Output : Example 2 :
In this example we will be plotting multiple Xs with various other parameters.
Python3
# 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)
Output :
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HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4