Interactive matplotlib plot with two sliders

Question

I used matplotlib to create some plot, which depends on 8 variables. I would like to study how the plot changes when I change some of them. I created some script that calls the matplotlib one and generates different snapshots that later I convert into a movie, it is not bad, but a bit clumsy.

I wonder if somehow I could interact with the plot regeneration using keyboard keys to increase / decrease values of some of the variables and see instantly how the plot changes.
What is the best approach for this?
Also if you can point me to interesting links or a link with a plot example with just two sliders?

user_7449382 · Answer

I followed the advice to check widgets in jupyter, and they work very well. The example script is uploaded in GitHub https://github.com/LeonidBystrykh/course-python-for-beginners/blob/master/Interactive_dots.ipynb

from __future__ import print_function
from ipywidgets import interact, interactive, fixed, interact_manual
import ipywidgets as widgets
import matplotlib.pyplot as plt, random

def series(dots, colr):
    a,b=[],[]
    for i in range(dots):
        a.append(random.randint(1,100))
        b.append(random.randint(1,100))
    plt.scatter(a,b, c=colr)
    return()
interact(series, dots=(1,100,1), colr=["red","orange","brown"]);

The image copy is below

user_4094574 · Answer

For ipython or jupyter notebooks you can use ipywidgets:

from ipywidgets import *
def update(w=0,h=0):
    print(h+w)

interact(update, w= widgets.IntSlider(value=1, min=0, max=7, step=1) , 
                 h= widgets.IntSlider(value=1, min=0, max=7, step=1) );

See documentation here: https://ipywidgets.readthedocs.io/en/stable/examples/Using%20Interact.html

Interactive matplotlib plot with two sliders

6 Answers