dyplot's Introduction

Dyplot

Don't you hate that there isn't a simple realtime matplotlib extension? Sure there is the animation part of matplotlib but what if you want to test a sensor or visualize any data in realtime?

Thus I have made this repo. There are 2 main files: dyplot.py dyplot3d.py

They are independent and easy to use.

Dyplot

Using dyplot is easy!

import dyplot
import time
d = dyplot.DynamicPlot(window_x = 30, title = 'Trigonometry', xlabel = 'X', ylabel= 'Y')
d.add_line('sin(x)')
d.add_line('cos(x)')
d.add_line('cos(.5*x)')

for i in np.arange(0,40, .2):
    d.update(i, [np.sin(i), np.cos(i), np.cos(i/.5)])
    time.sleep(.01)

Dyplot3d

The same goes for dyplot3d!

import time
lims = [-5, 5, -5, 5, -5, 5]

d3 = dynamic_3d_plotter(lims)
update_rate = .1

points = np.array([[-1, -1, -1],
                [1, -1, -1 ],
                [1, 1, -1],
                [-1, 1, -1],
                [-1, -1, 1],
                [1, -1, 1 ],
                [1, 1, 1],
                [-1, 1, 1]])

for i in np.arange(0, np.pi*4, np.pi*.1):
    theta, phi, psi = i, 1.4*i, .2*i
    Rx = np.array([
        [1, 0, 0],
        [0, np.cos(phi), np.sin(phi)],
        [0, -np.sin(phi), np.cos(phi)]
    ])
    Ry = np.array([
        [np.cos(theta), 0, -np.sin(theta)],
        [0, 1, 0],
        [np.sin(theta), 0, np.cos(theta)]
    ])
    Rz = np.array([
        [np.cos(psi), np.sin(psi), 0],
        [-np.sin(psi), np.cos(psi), 0],
        [0, 0, 1]
    ])

    R = np.matmul(np.matmul(Rz, Ry), Rx)

    d3.update(np.matmul(points,R))
    time.sleep(update_rate)

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