Date: 12 Sep 2022
Module : bokeh
Installation : pip install bokeh
About:
Bokeh is an interactive visualization library for modern web browsers. It
provides elegant, concise construction of versatile graphics, and affords
high-performance interactivity over large or streaming datasets. Bokeh can
help anyone who would like to quickly and easily make interactive plots,
dashboards, and data applications.
Source Code:
import numpy as np
from bokeh.plotting import figure, show
N = 500
x = np.linspace(0, 10, N)
y = np.linspace(0, 10, N)
xx, yy = np.meshgrid(x, y)
d = np.sin(xx)*np.cos(yy)
p = figure(tooltips=[("x", "$x"), ("y", "$y"), ("value", "@image")])
p.x_range.range_padding = p.y_range.range_padding = 0
# must give a vector of image data for image parameter
p.image(image=[d], x=0, y=0, dw=10, dh=10, palette="Spectral11",
level="image")
p.grid.grid_line_width = 0.5
show(p)
Reference:
https://pypi.org/project/bokeh/
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