#!/usr/bin/env python
# coding: utf-8

# ## Basic Matplotlib interactive plot adjustable via widgets
# 
# 
# I was delighted to see that the newer JupyterLab seemed to have much better support for ipywidgets lately and so when I saw [this question](https://stackoverflow.com/q/67804804/8508004) at StackOverflow, I thought it was a good time to test how the solution proposed was working.
# In examining [the current answer](https://stackoverflow.com/a/67816794/8508004) to [this question](https://stackoverflow.com/q/67804804/8508004), I was finding the answer wasn't working in repositories where I had ipywidgets enabled, even when I tried in JupyterLab.
# 
# However, the ipywidgets documentation includes [a matplotlib example](https://ipywidgets.readthedocs.io/en/latest/examples/Using%20Interact.html?highlight=matplotlib#Flickering-and-jumping-output) (found by searching 'matplotlib' in the documentation).
# 
# 
# ```python
# %matplotlib inline
# from ipywidgets import interactive
# import matplotlib.pyplot as plt
# import numpy as np
# 
# def f(m, b):
#     plt.figure(2)
#     x = np.linspace(-10, 10, num=1000)
#     plt.plot(x, m * x + b)
#     plt.ylim(-5, 5)
#     plt.show()
# 
# interactive_plot = interactive(f, m=(-2.0, 2.0), b=(-3, 3, 0.5))
# output = interactive_plot.children[-1]
# output.layout.height = '350px'
# interactive_plot
# ```
# 
# I was able to take that and adapt @queezz's [solution](https://stackoverflow.com/a/67816794/8508004) to get it working.
# 
# (Note when I did this, going to @queezz's repo [here](https://github.com/queezz/Complex_Numbers) and launching a binder session and opening the [MatplotliInteractTest.ipynb](https://github.com/queezz/Complex_Numbers/blob/3b15605d6edb63a833ca9357f6938b28c233314f/MatplotliInteractTest.ipynb) apparently meant to accompany, the answer, didn't allow the plot to work either. It said  I suspect locking in the versions wasn't the best choice?)

# In[1]:


#%matplotlib inline # from the example in the documentation. but doesn't seem necessary in current JupyterLab 3.1.11 or the classic notebook available now https://github.com/fomightez/communication_voila
from ipywidgets import interactive
import matplotlib.pyplot as plt
import numpy as np

def my_sine(x, w, amp, phi):
    """
    Return a sine for x with angular frequency w and amplitude amp.
    """
    return amp*np.sin(w * (x-phi))

def f( w, amp, phi):
    plt.figure(2)
    x = np.linspace(0, 2 * np.pi, 300)
    plt.plot(x, my_sine(x, w, amp, phi), color='C0')
    #plt.ylim(-5, 5)
    plt.grid(True) #optional grid
    plt.show()

interactive_plot = interactive(f, w=(0, 10, 1), amp=(0, 4, .1), phi=(0, 2*np.pi+0.01, 0.01))
#output = interactive_plot.children[-1]
#output.layout.height = '450px'
interactive_plot


# In[ ]: