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How can grid plot in Bokeh library be created with Python?
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web-based dashboards.
Bokeh converts the data source into a JSON file. This file is used as an input to BokehJS, which is a JavaScript library. This BokehJS is written in TypeScript that helps render visualization on modern browsers.
Dependencies of Bokeh −
Numpy Pillow Jinja2 Packaging Pyyaml Six Tornado Python−dateutil
Installation of Bokeh on Windows command prompt
pip3 install bokeh
Installation of Bokeh on Anaconda prompt
conda install bokeh
Example
import numpy as np
from bokeh.plotting import figure, output_file, show
N = 420
x = np.linspace(0, 14, N)
y = np.linspace(0, 14, N)
x1, y1 = np.meshgrid(x, y)
d = np.sin(x1)*np.cos(y1)
p = figure(tooltips=[("x", "$x"), ("y", "$y"), ("value", "@image")])
p.x_range.range_padding = p.y_range.range_padding = 0
p.image(image=[d], x=0, y=0, dw=11, dh=11, palette="Spectral11", level="image")
p.grid.grid_line_width = 0.6
output_file("gridplot.html", title="grid plot example")
show(p)Output
Explanation
The required packages are imported, and aliased.
The figure function is called along with plot width and height.
The data is defined using NumPy library.
The ‘output_file’ function is called to mention the name of the html file that will be generated.
The ‘image’ function present in Bokeh is called, along with data.
The ‘show’ function is used to display the plot.
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