How to Plot Multiple Plots using Bokeh in Python

Bokeh is a Python library which is used for data visualization. It creates its plots using HTML and JavaScript languages, and it also targets modern website browsers to provide presentation elegant, concise construction of novel graphics good high-performance interactivity.

In this tutorial, we will learn how to plot multiple plots by using the Bokeh library in Python. We will be using the row() function of the bokeh.layouts module can be used in the show() function of bokeh.io library to illustrate multiple plots by using the bokeh library.

Syntax:

The syntax for show() function is:

<br />
show(row(fig1, fig2, fig3….. fign))<br />

In which fig1, fig2, fig3, and so on are objects of the class figure in bokeh.plotting module.

Approach:

For plotting multiple plots on a graph by using the bokeh module, we will use the following approach:

Step 1: We will import all the required libraries and modules
Step 2: We will assign coordinates and then start depicting the plots using the figure class.
Step 3: we will then use the figure object as an argument in the row() function.
Step 4: we will at last use the show function for depicting the visualized return output from the row() function.

Example 1: To Plot Different Plots in the Same Page

<br />
# First, we will import all the required libraries and modules<br />
from bokeh.io import output_file as OF<br />
from bokeh.io import show<br />
from bokeh.layouts import row<br />
from bokeh.plotting import figure as figs</p>
<p># Now we will create a new plot<br />fig1 = figs(plot_width = 400,<br />              plot_height = 400, title = “Plot 1”)<br />fig1.line([2, 1, 5, 3, 4, 7, 6],<br />          [1, 4, 3, 5, 2, 7, 7],<br />          line_width = 4)</p>
<p># Then, we will create another plot<br />x = y = list(range(10))<br />fig2 = figs(plot_width = 400,<br />              plot_height = 400, title = “Plot 2”)<br />fig2.circle(x, y, size = 5)</p>
<p># depict visualization<br />show(row(fig1, fig2))<br />

Output:

How to Plot Multiple Plots using Bokeh in Python

Example 2: To Plot Different Plots in Same Frame

<br />
# First, we will import all the required libraries and modules<br />
from bokeh.io import output_file as OF<br />
from bokeh.io import show<br />
from bokeh.layouts import row<br />
from bokeh.plotting import figure as figs<br />
import numpy as nmp<br />
import random as rdm</p>
<p># Now, we will create a new plot<br /># instantiate the figure object<br />fig1 = figs(title = “Plot 1”)</p>
<p># coordinates<br />x1 = [[[[1, 2, 1, 0]]],<br />     [[[2, 4, 1, 2], [2.7, 2.4, 3.4, 3.1]]],<br />     [[[3, 1, 2]]]]<br />y1 = [[[[3.5, 2.5, 2.5, 3.5]]],<br />     [[[1, 1, 2, 3], [1.75, 2.25, 1.25, 2.75]]],<br />     [[[2, 1, 3]]]]</p>
<p># Now we will give the color values of the poloygons<br />color1 = [“GREEN”, “ORANGE”, “BLUE”]</p>
<p># filling the alpha values of the polygons<br />fill_alpha1 = 1.5</p>
<p># Now, we will plot the graph<br />fig1.multi_polygons(x = x1, y = y1,<br />                    color = color1,<br />                    fill_alpha = fill_alpha1)</p>
<p># Then, we will create another plot<br /># coordinates<br />x2 = nmp.arange(4)<br />y2 = x **2<br />z2 = x *3<br />p = nmp.linspace(2, 22, 5)<br />q = nmp.linspace(2, 12, 5)<br />r = nmp.linspace(2, 32, 7)<br />a = nmp.arange(34)</p>
<p># Here, we will create an empty figure with specific plot width and height<br />fig2 = figs(title = “Plot 2”)</p>
<p># Then, we will plot the points in the form of circular glyphs<br />fig2.circle(x = x2, y = y2, color = “YELLOW”, size = 20)</p>
<p># Now, we will plot the points in the form of square glyphs<br />fig2.square(x = x2, z = z2, color = “GREEN”, size = 12, alpha = 1.5)</p>
<p># plot the points in the form of hex glyphs<br />fig2.hex(y = y2, z = z2, color = “Pink”, size = 12, alpha = 0.7)</p>
<p># now, we will draw a line between the plotted points<br />fig2.line(x = x2, y = y2, color = “grey”, line_width = 4)</p>
<p># plot the points in the form of inverted triangle glyph<br />fig2.inverted_triangle(p = p, q = q, color = “Green”, size = 22, alpha = 0.4)</p>
<p># plot the points in the form of diamond glyphs<br />fig2.diamond(x = x2, r = r, color = “RED”, size = 16, alpha = 0.8)</p>
<p># plot the points in the form of cross glyphs<br />fig2.cross(a = a, a = a, size = 14)</p>
<p># creating a third plot<br /># generate the points to be plotted<br />x = []<br />y = []<br />for i in range(100):<br />    x.append(i)<br />for i in range(100):<br />    y.append(1 + rdm.random())</p>
<p># parameters of line 1<br />line_color = “red”<br />line_dash = “solid”<br />legend_label = “Line 1”</p>
<p>fig3 = figs(title = “Plot 3”)</p>
<p># plotting the line<br />fig3.line(x, y,<br />          line_color = line_color,<br />          line_dash = line_dash,<br />          legend_label = legend_label)</p>
<p># plot line 2<br /># generate the points to be plotted<br />x = []<br />y = []<br />for i in range(100):<br />    x.append(i)<br />for i in range(100):<br />    y.append(rdm.random())</p>
<p># parameters of line 2<br />line_color = “green”<br />line_dash = “dotdash”<br />line_dash_offset = 1<br />legend_label = “Line 2”</p>
<p># plotting the line<br />fig3.line(x, y,<br />          line_color = line_color,<br />          line_dash = line_dash,<br />          line_dash_offset = line_dash_offset,<br />          legend_label = legend_label)</p>
<p># depict visualization<br />show(row(fig1, fig2, fig3))<br />

Output:

How to Plot Multiple Plots using Bokeh in Python

Example 3: To Plot Multiple Plots in a Row

<br />
# First, we will import all the required libraries and modules<br />
from bokeh.io import output_file as OF<br />
from bokeh.io import show<br />
from bokeh.layouts import row<br />
from bokeh.plotting import figure as figs</p>
<p># now, we will assign coordinates<br />x = y = list(range(10))<br />xs = [[[[1, 1, 2, 2]]]]<br />ys = [[[[4, 3, 3, 4]]]]</p>
<p># creating a new plot<br />fig1 = figs(title = “Plot 1”, plot_width = 250,<br />              plot_height = 250)<br />fig1.line(x, y, line_width = 25, color = “Orange”)</p>
<p># creating second plot<br />fig2 = figs(title = “Plot 2”, plot_width = 250,<br />              plot_height = 250)<br />fig2.circle(x, y, size = 25, color = “Blue”)</p>
<p># creating third plot<br />fig3 = figs(title = “Plot 3”, plot_width = 250,<br />              plot_height = 250)<br />fig3.square(x, y, size = 25, color = “Green”)</p>
<p># create forth plot<br />fig4 = figs(title = “Plot 4”, plot_width = 250,<br />              plot_height = 250)<br />fig4.triangle(x, y, size = 25, color = “RED”)</p>
<p># creating fifth plot<br />fig5 = figs(title = “Plot 5”, plot_width = 250,<br />              plot_height = 250)<br />fig5.multi_polygons(xs, ys, color = “Blue”)</p>
<p># creating sixth plot<br />fig6 = figs(title = “Plot 6”, plot_width = 250,<br />              plot_height = 250)<br />fig6.line(x, y, line_dash = “dotted”, color = “Green”)</p>
<p># depict visualization<br />show(row(fig1, fig2,<br />         fig3, fig4,<br />         fig5, fig6))<br />

Output:

How to Plot Multiple Plots using Bokeh in Python

Conclusion

In this tutorial, we have discussed how we can create multiple plots on the same page or frame.

原创文章，作者：ItWorker，如若转载，请注明出处：https://blog.ytso.com/263315.html

How to Plot Multiple Plots using Bokeh in Python

How to Plot Multiple Plots using Bokeh in Python

Syntax:

Approach:

Example 1: To Plot Different Plots in the Same Page

Example 2: To Plot Different Plots in Same Frame

Example 3: To Plot Multiple Plots in a Row

Conclusion

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