Python Bokeh - Plotting a Scatter Plot on a Graph
Last Updated :
10 Jul, 2020
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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 a scatter plot on a graph. Plotting squares on a graph can be done using the
Python3
Output :
Example 2 : In this example we will be plotting multiple scatter points with various other parameters
Python3
Output :
scatter() method of the plotting module.
plotting.figure.scatter()
Syntax : scatter(parameters) Parameters :Example 1 : In this example we will be using the default values for plotting the graph.Returns : an object of class
- x : x-coordinates of the center of the glyphs
- y : y-coordinates of the center of the glyphs
- marker : signifies the type of the glyph
GlyphRenderer
# 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 Scatter Graph")
# the points to be plotted
x = [1, 2, 3, 4, 5]
y = [1, 2, 3, 4, 5]
# plotting the graph
graph.scatter(x, y)
# displaying the model
show(graph)
# importing the modules
from bokeh.plotting import figure, output_file, show
from bokeh.palettes import magma
import random
# file to save the model
output_file("gfg.html")
# instantiating the figure object
graph = figure(title = "Bokeh Scatter 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 = [n for n in range(256)]
y = [random.random() + 1 for n in range(256)]
size = 10
# color value of the scatter points
color = magma(256)
# plotting the graph
graph.scatter(x, y,
size = size,
color = color)
# displaying the model
show(graph)
