Re: [jupyter] Re: widget updating plot; plot disappears

2018-02-23 Thread Jason Grout 
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 
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  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 
>> 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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Re: [jupyter] Re: widget updating plot; plot disappears

2018-02-21 Thread Randy Heiland 
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  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  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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[jupyter] Re: widget updating plot; plot disappears

2018-02-19 Thread Randy Heiland 
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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mockup3.ipynb
Description: Binary data