continuous_update is an option for a slider, not for the interactive
command. Try doing:

interact_manual(f, p=(0, 100))

(and I agree that we should refactor these interact and interactive
commands to be more consistent and powerful, and happy to help someone do
it.)

Jason


On Wed, Feb 21, 2018 at 4:49 PM Randy Heiland <randy.heil...@gmail.com>
wrote:

> Any idea why the "continuous_update=False" doesn't work (for me)? Does it
> work for others? - rf. attached .ipynb.
>
> thanks, Randy
>
> On Wed, Feb 21, 2018 at 4:22 PM, Jason Grout <ja...@jasongrout.org> wrote:
>
>> 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 <randy.heil...@gmail.com>
>> 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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