You can use the interact_manual function. See
http://ipywidgets.readthedocs.io/en/latest/examples/Using%20Interact.html#Disabling-continuous-updates

Jason


On Mon, Feb 19, 2018, 10:09 Randy Heiland <[email protected]> wrote:

> I seem to have fixed my initial problem - rf. attached .ipynb.
>
> Next question - how do I avoid continuous update when a slider is moved?
>
> thanks, Randy
>
>
> On Monday, February 19, 2018 at 11:13:02 AM UTC-5, Randy Heiland wrote:
>>
>> Hello,
>>
>> I was testing the following on https://try.jupyter.org/  and wondering
>> why the plot sometimes disappears:
>>
>> %matplotlib notebook
>> import numpy as np
>> import matplotlib.pyplot as plt
>>
>> def f(p):
>>     plt.figure(2)
>>     nx = 10
>>     ny = 10
>>     x = np.linspace(1, nx, nx)
>>     y = np.linspace(1, ny, ny)
>>     xv, yv = np.meshgrid(x, y)
>>
>>     rgb = np.zeros((nx*ny,3))
>>     rgb[:,0] += 1
>>     rgb[:][p-1] = [0,1,0]
>>
>>     area=200
>>     plt.scatter(xv, yv, marker='s', s=area, c=rgb)
>>
>>     plt.xticks([])
>>     plt.yticks([])
>> #    plt.show()
>>
>> from ipywidgets import interact, interactive
>> interactive_plot = interactive(f, p=(0, 100))
>> interactive_plot
>>
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