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In this chapter, we will discuss Bokeh Getting Started. Bokeh Getting Startedcreating a simple line plot between two numpy arrays is very simple. To begin with, import the following functions from bokeh. plotting modules −

from bokeh.plotting import figure, output_file, show

The figure() function creates a new figure for plotting.

The output_file() function is used to specify a HTML file to store output.

The show() function displays the Bokeh figure in the browser on in the notebook.

Next, set up two numpy arrays where the second array is the sine value of the first.

import numpy as np
import math
x = np.arange(0, math.pi*2, 0.05)
y = np.sin(x)

To obtain a Bokeh Figure object, specify the title and x and y-axis labels as below −

p = figure(title = "sine wave example", x_axis_label = 'x', y_axis_label = 'y')

The Figure object contains a line() method that adds a line glyph to the figure. It needs data series for the x and y axes.

p.line(x, y, legend = "sine", line_width = 2)

Finally, set the output file and call show() function.

output_file("sine.html")
show(p)

This will render the line plot in ‘sine.html’ and will be displayed in the browser.

Complete code and its output in Bokeh Getting Started

from bokeh.plotting import figure, output_file, show
import numpy as np
import math
x = np.arange(0, math.pi*2, 0.05)
y = np.sin(x)
output_file("sine.html")
p = figure(title = "sine wave example", x_axis_label = 'x', y_axis_label = 'y')
p.line(x, y, legend = "sine", line_width = 2)
show(p)

Output on browser

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