[Matplotlib-users] another failed attempt (realtime)

2013-03-11 Thread Neal Becker 
According to other examples I see on the web, use of 'relim' and 
'autoscale_view' should result in rescaling and drawing new axes.  Doesn't.
Unless I explicity call 
ax.axis ([...])
I don't get any rescaling.

Here's an example:

import matplotlib as mpl
mpl.use ('GTK')
import matplotlib.pyplot as plt
plt.ion()
import numpy as np
fig=plt.figure()
ax = fig.add_subplot(111)
x_values = [0]
ax.axis ([0, 10, -1, 1])
y_values = [0]

i=0
x=list()
y=list()

while i 1000:
x.append (i)
y.append (2*i)
line, = plt.plot (x, y, 'x-')

##ax.axis ([min(x),max(x),min(y),max(y)])

ax.relim()
# update ax.viewLim using the new dataLim
ax.autoscale_view()
plt.draw()
i+=1



--
Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester  
Wave(TM): Endpoint Security, Q1 2013 and remains a good choice in the  
endpoint security space. For insight on selecting the right partner to 
tackle endpoint security challenges, access the full report. 
http://p.sf.net/sfu/symantec-dev2dev
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Re: [Matplotlib-users] another failed attempt (realtime)

2013-03-11 Thread Sterling Smith 
Neal,

You might try 
mpl.use('GTKAgg')
as I have seen problems with lone GTK.  Also you might change this in your 
.matplotlibrc file if possible.

-Sterling

On Mar 11, 2013, at 10:43AM, Neal Becker wrote:

 According to other examples I see on the web, use of 'relim' and 
 'autoscale_view' should result in rescaling and drawing new axes.  Doesn't.
 Unless I explicity call 
 ax.axis ([...])
 I don't get any rescaling.
 
 Here's an example:
 
 import matplotlib as mpl
 mpl.use ('GTK')
 import matplotlib.pyplot as plt
 plt.ion()
 import numpy as np
 fig=plt.figure()
 ax = fig.add_subplot(111)
 x_values = [0]
 ax.axis ([0, 10, -1, 1])
 y_values = [0]
 
 i=0
 x=list()
 y=list()
 
 while i 1000:
x.append (i)
y.append (2*i)
line, = plt.plot (x, y, 'x-')
 
 ##ax.axis ([min(x),max(x),min(y),max(y)])
 
ax.relim()
# update ax.viewLim using the new dataLim
ax.autoscale_view()
plt.draw()
i+=1
 
 
 
 --
 Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester  
 Wave(TM): Endpoint Security, Q1 2013 and remains a good choice in the  
 endpoint security space. For insight on selecting the right partner to 
 tackle endpoint security challenges, access the full report. 
 http://p.sf.net/sfu/symantec-dev2dev
 ___
 Matplotlib-users mailing list
 Matplotlib-users@lists.sourceforge.net
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users


--
Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester  
Wave(TM): Endpoint Security, Q1 2013 and remains a good choice in the  
endpoint security space. For insight on selecting the right partner to 
tackle endpoint security challenges, access the full report. 
http://p.sf.net/sfu/symantec-dev2dev
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Re: [Matplotlib-users] another failed attempt (realtime)

2013-03-11 Thread Neal Becker 
Doesn't matter, still doesn't rescale without calling ax.axis


On Mon, Mar 11, 2013 at 1:48 PM, Sterling Smith smit...@fusion.gat.comwrote:

 Neal,

 You might try
 mpl.use('GTKAgg')
 as I have seen problems with lone GTK.  Also you might change this in your
 .matplotlibrc file if possible.

 -Sterling

 On Mar 11, 2013, at 10:43AM, Neal Becker wrote:

  According to other examples I see on the web, use of 'relim' and
  'autoscale_view' should result in rescaling and drawing new axes.
  Doesn't.
  Unless I explicity call
  ax.axis ([...])
  I don't get any rescaling.
 
  Here's an example:
 
  import matplotlib as mpl
  mpl.use ('GTK')
  import matplotlib.pyplot as plt
  plt.ion()
  import numpy as np
  fig=plt.figure()
  ax = fig.add_subplot(111)
  x_values = [0]
  ax.axis ([0, 10, -1, 1])
  y_values = [0]
 
  i=0
  x=list()
  y=list()
 
  while i 1000:
 x.append (i)
 y.append (2*i)
 line, = plt.plot (x, y, 'x-')
 
  ##ax.axis ([min(x),max(x),min(y),max(y)])
 
 ax.relim()
 # update ax.viewLim using the new dataLim
 ax.autoscale_view()
 plt.draw()
 i+=1
 
 
 
 
 --
  Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester
  Wave(TM): Endpoint Security, Q1 2013 and remains a good choice in the
  endpoint security space. For insight on selecting the right partner to
  tackle endpoint security challenges, access the full report.
  http://p.sf.net/sfu/symantec-dev2dev
  ___
  Matplotlib-users mailing list
  Matplotlib-users@lists.sourceforge.net
  https://lists.sourceforge.net/lists/listinfo/matplotlib-users


--
Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester  
Wave(TM): Endpoint Security, Q1 2013 and remains a good choice in the  
endpoint security space. For insight on selecting the right partner to 
tackle endpoint security challenges, access the full report. 
http://p.sf.net/sfu/symantec-dev2dev___
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