I added fig.canvas.show(). It still does nothing.
If I add
mpl.use ('GTK'), now it seems to be doing realtime plotting.
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.ion()
import numpy as np
fig=plt.figure()
plt.axis([0,1000,0,1])
i=0
x=list()
y=list()
fig.canvas.show()
while i <1000:
temp_y=np.random.random()
x.append(i)
y.append(temp_y)
plt.scatter(i,temp_y)
i+=1
plt.draw()
On Mon, Mar 11, 2013 at 10:35 AM, David Hoese <dho...@gmail.com> wrote:
> Oops forgot to change the subject line.
>
> On 3/11/13 9:34 AM, David Hoese wrote:
>
>> You likely need to "show()" the canvas. I usually do this by calling
>> "fig.canvas.show()" before the for loop.
>> Since you are using a Qt4 backend the canvas used by the figure is a
>> QWidget, the basic component of a Qt4 GUI. I don't know if there is a more
>> matplotlib specific way of doing this, but when dealing with a larger
>> system this is how I do it.
>>
>> I would also add a sleep ("from time import sleep") of a couple seconds
>> for testing to make sure you are getting through the entire for loop before
>> you can see it.
>>
>> Please CC in any replies, thanks.
>>
>> -Dave
>>
>>
>> On 3/11/13 8:58 AM, ndbeck...@gmail.com wrote:
>>
>>> I want to update a plot in real time. I did some goog search, and saw
>>> various
>>> answers. Trouble is, they aren't working.
>>>
>>> Here's a typical example:
>>>
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> fig=plt.figure()
>>> plt.axis([0,1000,0,1])
>>>
>>> i=0
>>> x=list()
>>> y=list()
>>>
>>> while i <1000:
>>> temp_y=np.random.random()
>>> x.append(i)
>>> y.append(temp_y)
>>> plt.scatter(i,temp_y)
>>> i+=1
>>> plt.draw()
>>>
>>> If I run this, it draws nothing.
>>>
>>> This is my matplotlibrc:
>>> backend : Qt4Agg
>>> mathtext.fontset: stix
>>>
>>
>>
>
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