matplotlib-users Mailing List for matplotlib (Page 2)

I am trying to graph bandwidth over time. I am trying to get a grip
on the details of how my ISP throttles high amounts of traffic. like
when I upload a 300 mb video. I am collecting data during the upload,
but I am having trouble understanding the raw numbers. Pretty sure a
graph will show me what I expect to see, and maybe help me get the
exact numbers I am looking for: bandwidth drops to X after Y
something.
I am guessing this will easy for someone familiar with matplotlib. I
have been looking at docs and example, cant figure it out. Thus my
cry for help post.
my data looks like this:
uploadlog.csv: seconds from midnight, timestamp, bytes sent
(accumulative over a 300mb upload)
Here is something that calcs the deltas that I think I need.
#!/usr/bin/python
import datetime
import csv
import StringIO
import pprint
log="""56521.93324, 2011年06月24日 15:42:01.933240, 0
56521.933569, 2011年06月24日 15:42:01.933569, 1292
56521.933722, 2011年06月24日 15:42:01.933722, 1488
56522.022575, 2011年06月24日 15:42:02.022575, 16488
56522.023069, 2011年06月24日 15:42:02.023069, 31488
56522.03704, 2011年06月24日 15:42:02.037040, 46488
56522.079995, 2011年06月24日 15:42:02.079995, 61488
56522.080119, 2011年06月24日 15:42:02.080119, 76488
56522.116328, 2011年06月24日 15:42:02.116328, 91488"""
# reader = csv.reader(open('uploadlog.csv', 'rb'))
reader = csv.reader(StringIO.StringIO(log))
i=0
dat = []
last_sec, last_bytes = 0,0
for row in reader:
 sec=float(row[0])
 bytes_sent = int(row[2])
 if last_sec:
 duration=sec - last_sec
 chunk = bytes_sent - last_bytes
 bps = chunk/duration
 dat.append( [chunk,duration,bps] )
 last_sec = sec
 last_bytes = bytes_sent
pprint.pprint(dat)
"""
[[1292, 0.00032900000223889947, 3927051.645008286],
 [196, 0.00015300000086426735, 1281045.7443976079],
 [15000, 0.08885300000110874, 168818.16033012758],
 [15000, 0.00049399999988963827, 30364372.476419158],
 [15000, 0.013971000000310596, 1073652.5660057638],
 [15000, 0.042954999997164123, 349202.65396322421],
 [15000, 0.00012399999832268804, 120967743.57177937],
 [15000, 0.036208999998052604, 414261.6476789398]]
"""
-- 
Carl K

On Sunday, June 26, 2011, Carl Karsten <ca...@pe...> wrote:
> http://matplotlib.sourceforge.net/examples/api/radar_chart.html
>
> "Exception occurred rendering plot."
>
Without more information, we can't help you. What version of
matplotlib are you using? On what OS? How did you install it? Do the
tests pass? And which backend?
Ben Root

http://matplotlib.sourceforge.net/examples/api/radar_chart.html
"Exception occurred rendering plot."
-- 
Carl K

On 06/24/2011 04:03 AM, Jonathan Slavin wrote:
> import matplotlib.pyplot as plt
> plt.ion()
> fig = plt.gcf()
> for obsid in obsids:
> <do fitting>
> plt.cla()
> fig = plt.gcf()
> ax = fig.add_axes([0.15,0.1,0.8,0.6])
> ax.plot(x,y)
> plt.draw()
> ans = raw_input('continue? ')
> if ans == 'n':
> break
The behavior may depend on mpl version and backend, but with 1.0.1 or 
later, I think something like what you have will work with a little 
cleanup, e.g.:
import matplotlib.pyplot as plt
import numpy as np
plt.ion()
fig = plt.gcf()
ax = fig.add_axes([0.15,0.1,0.8,0.6])
for i in range(3):
 ax.cla()
 ax.plot(np.random.rand(10))
 plt.draw()
 raw_input("hit a key to proceed")
Eric

On 06/24/2011 07:19 AM, Kaushik Ghose wrote:
> Hi,
>
> I don't know for sure if this is matplotlib's fault. ipython's fault or Mac OS
> X, but I ever since I upgraded to matplotlib 1.0.1 I have this problem that
> ipython will exit with segfault after I close a figure.
What version of ipython are you using? A new version with a completely 
different method of handling gui interaction, as with mpl, is about to 
be released. The change in method was made because of the fragility of 
the method (a separate thread) used up to and including 0.10.x.
Eric
>
> I have not found what exactly causes the crash, but it can happen with the
> simplest of figures.
>
> This is one of those annoying intermittent problems: I can't replicate it with a
> sequence of steps.
>
> I can often run days with the same ipython shell, generating many many figures
> without problems, and sometimes everytime I plot a figure, ipython segfaults out
> after the figure is closed.
>
> The Mac OS X stack trace is attacked to the tracker ticket I opened
> (https://sourceforge.net/tracker/?func=detail&aid=3328133&group_id=80706&atid=560720).
>
> Many thanks
> -Kaushik
>
> ------------------------------------------------------------------------------
> All the data continuously generated in your IT infrastructure contains a
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> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi,
I don't know for sure if this is matplotlib's fault. ipython's fault or Mac OS 
X, but I ever since I upgraded to matplotlib 1.0.1 I have this problem that 
ipython will exit with segfault after I close a figure.
I have not found what exactly causes the crash, but it can happen with the 
simplest of figures.
This is one of those annoying intermittent problems: I can't replicate it with a 
sequence of steps.
I can often run days with the same ipython shell, generating many many figures 
without problems, and sometimes everytime I plot a figure, ipython segfaults out 
after the figure is closed.
The Mac OS X stack trace is attacked to the tracker ticket I opened
(https://sourceforge.net/tracker/?func=detail&aid=3328133&group_id=80706&atid=560720).
Many thanks
-Kaushik

To all:
I'm doing a series of fits and want to display the results of each in a
figure before I go to the next one. I currently do roughly something
like this (with a lot left out):
import matplotlib.pyplot as plt
plt.ion()
fig = plt.gcf()
for obsid in obsids:
 <do fitting>
 plt.cla()
 fig = plt.gcf()
 ax = fig.add_axes([0.15,0.1,0.8,0.6])
 ax.plot(x,y)
 plt.draw()
 ans = raw_input('continue? ')
 if ans == 'n':
 break
This works, sort of, except that the first plot is not shown until the
second time I hit the raw_input line. So my question is, is there any
way to make the figure display immediately when the draw() is executed?
Jon
-- 
______________________________________________________________
Jonathan D. Slavin Harvard-Smithsonian CfA
js...@cf... 60 Garden Street, MS 83
phone: (617) 496-7981 Cambridge, MA 02138-1516
 cell: (781) 363-0035 USA
______________________________________________________________

and also, how can I make only one point for the scatter legend?
if I use 
leg=ax1.legend(loc='upper left', numpoints=1)
all the lines will disapper too...
wiswit wrote:
> 
> Dear all,
> 
> I've made a plot (as attached). The problem is the frame of the legeng is
> too big that It covers some part of the lines in the figure.
> I used a 'x-samll' font size in the legend text, but the problem is that
> the space between the lines of different texts is too big that the
> whole frame of the legend becomes big.
> 
> another question is, the font size of legend text can only be set as
> 'xx-small' | 'x-small' | 'small' | 'medium' | 'large' | 'x-large' |
> 'xx-large' , but not specific numbers?
> 
> Any ideas about this will be very much appreciated.
> 
> 
> ############################################### the script:
> fig1=plt.figure()
> fig1.text(0.5,0.04,'Years since last
> burn',ha='center',rotation='horizontal')
> fig1.text(0.05,0.45,'Total biomass(gC
> m-2)',va='center',rotation='vertical')
> ax1=fig1.add_subplot(111)
> for i in range(7):
> 
> ax1.plot(np.arange(1,len(ns2['TOTAL_M'][i])+1),ns2['TOTAL_M'][i],g.pline[i],label=bsite.NSlist[i])
> ax1.plot(data[:,0],data[:,13],'k.',markersize=10,label='Goulden et
> al.,2011')
> ax1.plot(wdata[:,0][0:7],wdata[:,6][0:7],'r.',markersize=10,label='Wang et
> al.,2003 Dry')
> ax1.plot(wdata[:,0][7:14],wdata[:,6][7:14],'g.',markersize=10,label='Wang
> et al.,2003 Wet')
> leg=ax1.legend(loc='upper left')
> ltext = leg.get_texts()
> llines = leg.get_lines()
> frame = leg.get_frame()
> plt.setp(ltext, fontsize='x-small')
> 
> 
> Best wishes,
> 
> Chao
> http://old.nabble.com/file/p31918421/CA-NS_BiomassCarbon_modelVSob.png 
> 
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Dear all,
I've made a plot (as attached). The problem is the frame of the legeng is
too big that It covers some part of the lines in the figure.
I used a 'x-samll' font size in the legend text, but the problem is that the
space between the lines of different texts is too big that the
whole frame of the legend becomes big.
another question is, the font size of legend text can only be set as
'xx-small' | 'x-small' | 'small' | 'medium' | 'large' | 'x-large' |
'xx-large' , but not specific numbers?
Any ideas about this will be very much appreciated.
############################################### the script:
fig1=plt.figure()
fig1.text(0.5,0.04,'Years since last
burn',ha='center',rotation='horizontal')
fig1.text(0.05,0.45,'Total biomass(gC m-2)',va='center',rotation='vertical')
ax1=fig1.add_subplot(111)
for i in range(7):
 
ax1.plot(np.arange(1,len(ns2['TOTAL_M'][i])+1),ns2['TOTAL_M'][i],g.pline[i],label=bsite.NSlist[i])
ax1.plot(data[:,0],data[:,13],'k.',markersize=10,label='Goulden et
al.,2011')
ax1.plot(wdata[:,0][0:7],wdata[:,6][0:7],'r.',markersize=10,label='Wang et
al.,2003 Dry')
ax1.plot(wdata[:,0][7:14],wdata[:,6][7:14],'g.',markersize=10,label='Wang et
al.,2003 Wet')
leg=ax1.legend(loc='upper left')
ltext = leg.get_texts()
llines = leg.get_lines()
frame = leg.get_frame()
plt.setp(ltext, fontsize='x-small')
Best wishes,
Chao http://old.nabble.com/file/p31918421/CA-NS_BiomassCarbon_modelVSob.png 
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Hi all,
I'm using matplotlib 1.0.1 from the enthought python distribution. When I
try to use pcolormesh is ignores anything I give it for linestyle (always
solid) and edgecolor (always black), as well as any non-integer linewidth.
All these options work as I expect if I just use pcolor. An example script
follows. Am I missing something? I would just use pcolor, but it takes
minutes to render my data as opposed to seconds for pcolormesh.
#!/usr/bin/env python
import numpy as np
import pylab as pl
x=np.linspace(0,10,20)
y=np.linspace(-5,5,25)
X,Y=np.meshgrid(x,y)
z=np.sin(Y)+X**1.1
pl.subplot(311)
pl.pcolormesh(X, Y, z, edgecolor='g', linewidth=0.5, linestyle='dashed')
pl.subplot(312)
pl.pcolormesh(X, Y, z, edgecolor='g', linewidth=1, linestyle='dashed')
pl.subplot(313)
pl.pcolormesh(X, Y, z, edgecolor='g', linewidth=2, linestyle='dashed')
pl.show()
pl.subplot(311)
pl.pcolor(X, Y, z, edgecolor='g', linewidth=0.5, linestyle='dashed')
pl.subplot(312)
pl.pcolor(X, Y, z, edgecolor='g', linewidth=1, linestyle='dashed')
pl.subplot(313)
pl.pcolor(X, Y, z, edgecolor='g', linewidth=2, linestyle='dashed')
pl.show()
Thanks,
~Kris
-- 
"I think nature's imagination is so much greater than man's. She's never
going to let us relax."
 -- Richard Feynman

Hello,
I have a pcolormesh() plot that I would like to update when a user presses a
key. Basically there are data files from 0..N and I want to update the plot
to the next frame when a user presses the 'right' arrow. I have the keypress
event working, I just don't know how to 'update' the data for the
pcolormesh.
I'm pretty new to matplotlib, so if anyone could help with this it would be
greatly appreciated!
Thanks! (Code snippet below)
def press(event):
	if event.key=='right':
		data2D = readDataFile() #updates data2D
 #update pcolormesh somehow??
		fig.canvas.draw()
#X,Y,data2D are initially set here...
fig = plt.figure()
fig.canvas.mpl_connect('key_press_event', press)
ax = fig.add_subplot(111)
plt.pcolormesh(X, Y, data2D)
plt.colorbar()
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On Wed, Jun 22, 2011 at 9:15 AM, John Hunter <jd...@gm...> wrote:
> On Wed, Jun 22, 2011 at 8:30 AM, Michael Droettboom <md...@st...>
> wrote:
> > matplotlib doesn't currently support gradients. Patches welcome! :)
> It's
> > probably a lot of work to get it working across all backends, but
> following
> > the pattern of how hatches are handled now would probably be a good
> guide.
>
> There is however, the gradient hack, eg
>
> http://matplotlib.sourceforge.net/examples/pylab_examples/gradient_bar.html
>
> JDH
>
>
There are also some neat tricks you can do with Agg filters. Here is an
example:
http://matplotlib.sourceforge.net/examples/pylab_examples/demo_agg_filter.html
Ben Root

On Wed, Jun 22, 2011 at 8:30 AM, Michael Droettboom <md...@st...> wrote:
> matplotlib doesn't currently support gradients. Patches welcome! :) It's
> probably a lot of work to get it working across all backends, but following
> the pattern of how hatches are handled now would probably be a good guide.
There is however, the gradient hack, eg
http://matplotlib.sourceforge.net/examples/pylab_examples/gradient_bar.html
JDH

matplotlib doesn't currently support gradients. Patches welcome! :) 
It's probably a lot of work to get it working across all backends, but 
following the pattern of how hatches are handled now would probably be a 
good guide.
Mike
On 06/21/2011 07:18 PM, Paul Menzel wrote:
> Dear Matplotlib folks,
>
>
> is it possible in Matplotlib to add eye candy or gimmicks to the plots
> like fading? For example if I want to just show a subpart(?) of a plot
> this would like "cool". (I am pretty sure that opinions differ if such
> things are useful or not, but please leave this out of the discussion.)
>
> It looks like PGF/TikZ supports such things (manual [1], page 206) and
> therefore I am wondering if Matplotlib can do this too?
>
>
> Thanks,
>
> Paul
>
>
> [1] http://www.ctan.org/tex-archive/graphics/pgf/base/doc/generic/pgf/pgfmanual.pdf
>
>
> ------------------------------------------------------------------------------
> EditLive Enterprise is the world's most technically advanced content
> authoring tool. Experience the power of Track Changes, Inline Image
> Editing and ensure content is compliant with Accessibility Checking.
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>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
-- 
Michael Droettboom
Science Software Branch
Space Telescope Science Institute
Baltimore, Maryland, USA

Hello,
i have a small problem sharing axes with twinned subplots.
Here is a code snippet:
ax = fig.add_subplot(212, sharex = bx)
ax.plot() 
grid()
cx = ax.twinx()
cx.plot() 
The problem is, that both axis are independent. So on the left side, the tick 
steps are 0.05 and on the right side 0.1. 
The gridlines of the ax plot also do not match to the tickmarks on the right 
side. How can i fix that?
Greeting 
Matthias

Am Dienstag, den 21.06.2011, 19:17 -0400 schrieb jos...@gm...:
> On Tue, Jun 21, 2011 at 5:25 PM, Paul Menzel wrote:
> > Am Dienstag, den 21.06.2011, 09:43 -0400 schrieb jos...@gm...:
> >> On Tue, Jun 21, 2011 at 8:47 AM, Paul Menzel wrote:
> >
> >> > I want to plot all paths of a simple random walk and wrote the following
> >> > recursive program based on the Path tutorial [1].
> >> >
> >> > import matplotlib.pyplot as plt
> >> > from matplotlib.path import Path
> >> > import matplotlib.patches as patches
> >> >
> >> > def draw(a, b, c, d):
> >> > verts = [
> >> > (a, b),
> >> > (c, d),
> >> > (0, 0),
> >> > ]
> >> >
> >> > codes = [
> >> > Path.MOVETO,
> >> > Path.LINETO,
> >> > Path.CLOSEPOLY
> >> > ]
> >> >
> >> > path = Path(verts, codes)
> >> > patch = patches.PathPatch(path)
> >> > ax.add_patch(patch)
> >> >
> >> > def irrpfad(a, b):
> >> > if a < length:
> >> > draw(a, b, a + 1., b + 1.)
> >> > draw(a, b, a + 1., b - 1.)
> >> > irrpfad(a + 1, b + 1)
> >> > irrpfad(a + 1, b - 1)
> >> >
> >> >
> >> > length = 5 # 20 not possible to run
> >> >
> >> > fig = plt.figure()
> >> > ax = fig.add_subplot(111)
> >> > irrpfad(0, 0)
> >> > ax.set_xlim(0,length)
> >> > ax.set_ylim(-length,length)
> >> > plt.show()
> >> >
> >> > Using 20 for `length` stalls my system and the memory used seems to be
> >> > over 1 GB. I guess this is what you guess using something recursive.
> >> > What optimizations are there. I am drawing each line after another so
> >> > probably too many separate paths instead of one. Being a Python noob I
> >> > do not know if I can append something to a path. Looking at the API
> >> > documentation [2] I did not see such a method.
> >> >
> >> > Being also new to Matplotlib I may have also overlooked more appropriate
> >> > methods/classes.
> >> >
> >> > So to summarize my message,
> >> >
> >> > 1. How can I add lines to a path?
> >> > 2. Are recursive functions bad in Python/Matplotlib?
> >> > 3. Are there better approaches?
> >>
> >> I'm not sure what you are trying to show, but my impression is that you are
> >> just producing the grid between integers (move up,down),
> >
> > Yeah, that is about right [1].
> >
> >> and paths will not show up because the lines are all on top of each other.
> >
> > That is not true. My program displays everything correctly when using
> > for example `length = 5`.
> >
> >> The number of all paths looks very large to me and even without matplotlib
> >> overhead, this might soon run into problems.
> >
> > That is what thought too.
> >
> >> for example;
> >> for length= 15; I get 65534 moves in the random walks, but only 240 unique moves
> >> for length= 20; I get 2097150 moves in the random walks, but only 420 unique moves
> >> plotting only unique moves is fast (count of moves might work to color the
> >> amount of traffic on each move)
> >
> > I am sorry, I think that in my program no section is drawn more than
> > once.
> 
> each append below corresponds to one call to your draw function
> 
> Do you want to draw all possible routes, or the road network?
I am sorry. I now do understand your previous sentences correctly. Yes I
am aware that patches overlap and I only need to draw the road network.
> I only see the road network in the plot
Yes that is correct and intended.
> (and partially the traffic density with alpha<1).
Nice suggestion. Thank you.
> >> rw_moves = []
> >> def irrpfad2(a, b):
> >> if a < length:
> >> rw_moves.append((a, b, a + 1, b + 1))
> >> rw_moves.append((a, b, a + 1, b - 1))
> >> irrpfad2(a + 1, b + 1)
> >> irrpfad2(a + 1, b - 1)
> >>
> >> length = 20 # 20 not possible to run
> >> irrpfad2(0, 0)
> >
> > Thank you for the example, but now I need to somehow also add the codes
> > to be able to pass this to Path.
> >
> >> I don't know any answer to the matplotlib specific part
> >
> > Thank you for your other answers.
> >
> >> > Please find the source also attached. I am using python-matplotlib
> >> > 1.0.1-2 from Debian Sid/unstable.
Thanks,
Paul
> >> > [1] http://matplotlib.sourceforge.net/users/path_tutorial.html
> >> > [2] http://matplotlib.sourceforge.net/api/path_api.html#matplotlib.path.Path
> > [3] https://secure.wikimedia.org/wikipedia/en/wiki/Random_walk

Dear Matplotlib folks,
is it possible in Matplotlib to add eye candy or gimmicks to the plots
like fading? For example if I want to just show a subpart(?) of a plot
this would like "cool". (I am pretty sure that opinions differ if such
things are useful or not, but please leave this out of the discussion.)
It looks like PGF/TikZ supports such things (manual [1], page 206) and
therefore I am wondering if Matplotlib can do this too?
Thanks,
Paul
[1] http://www.ctan.org/tex-archive/graphics/pgf/base/doc/generic/pgf/pgfmanual.pdf

On Tue, Jun 21, 2011 at 5:25 PM, Paul Menzel
<pau...@us...> wrote:
> Am Dienstag, den 21.06.2011, 09:43 -0400 schrieb jos...@gm...:
>> On Tue, Jun 21, 2011 at 8:47 AM, Paul Menzel wrote:
>
>> > I want to plot all paths of a simple random walk and wrote the following
>> > recursive program based on the Path tutorial [1].
>> >
>> >    import matplotlib.pyplot as plt
>> >    from matplotlib.path import Path
>> >    import matplotlib.patches as patches
>> >
>> >    def draw(a, b, c, d):
>> >            verts = [
>> >            (a, b),
>> >            (c, d),
>> >            (0, 0),
>> >            ]
>> >
>> >            codes = [
>> >            Path.MOVETO,
>> >            Path.LINETO,
>> >            Path.CLOSEPOLY
>> >            ]
>> >
>> >            path = Path(verts, codes)
>> >            patch = patches.PathPatch(path)
>> >            ax.add_patch(patch)
>> >
>> >    def irrpfad(a, b):
>> >        if a < length:
>> >            draw(a, b, a + 1., b + 1.)
>> >            draw(a, b, a + 1., b - 1.)
>> >            irrpfad(a + 1, b + 1)
>> >            irrpfad(a + 1, b - 1)
>> >
>> >
>> >    length = 5 # 20 not possible to run
>> >
>> >    fig = plt.figure()
>> >    ax = fig.add_subplot(111)
>> >    irrpfad(0, 0)
>> >    ax.set_xlim(0,length)
>> >    ax.set_ylim(-length,length)
>> >    plt.show()
>> >
>> > Using 20 for `length` stalls my system and the memory used seems to be
>> > over 1 GB. I guess this is what you guess using something recursive.
>> > What optimizations are there. I am drawing each line after another so
>> > probably too many separate paths instead of one. Being a Python noob I
>> > do not know if I can append something to a path. Looking at the API
>> > documentation [2] I did not see such a method.
>> >
>> > Being also new to Matplotlib I may have also overlooked more appropriate
>> > methods/classes.
>> >
>> > So to summarize my message,
>> >
>> > 1. How can I add lines to a path?
>> > 2. Are recursive functions bad in Python/Matplotlib?
>> > 3. Are there better approaches?
>>
>> I'm not sure what you are trying to show, but my impression is that you are
>> just producing the grid between integers (move up,down),
>
> Yeah, that is about right [1].
>
>> and paths will not show up because the lines are all on top of each other.
>
> That is not true. My program displays everything correctly when using
> for example `length = 5`.
>
>> The number of all paths looks very large to me and even without matplotlib
>> overhead, this might soon run into problems.
>
> That is what thought too.
>
>> for example;
>> for length= 15; I get 65534 moves in the random walks, but only 240 unique moves
>> for length= 20; I get 2097150 moves in the random walks, but only 420 unique moves
>> plotting only unique moves is fast (count of moves might work to color the
>> amount of traffic on each move)
>
> I am sorry, I think that in my program no section is drawn more than
> once.
each append below corresponds to one call to your draw function
Do you want to draw all possible routes, or the road network? I only
see the road network in the plot (and partially the traffic density
with alpha<1).
Josef
>
>> rw_moves = []
>> def irrpfad2(a, b):
>>   if a < length:
>>     rw_moves.append((a, b, a + 1, b + 1))
>>     rw_moves.append((a, b, a + 1, b - 1))
>>     irrpfad2(a + 1, b + 1)
>>     irrpfad2(a + 1, b - 1)
>>
>> length = 20 # 20 not possible to run
>> irrpfad2(0, 0)
>
> Thank you for the example, but now I need to somehow also add the codes
> to be able to pass this to Path.
>
>> I don't know any answer to the matplotlib specific part
>
> Thank you for your other answers.
>
>> > Please find the source also attached. I am using python-matplotlib
>> > 1.0.1-2 from Debian Sid/unstable.
>
>
> Thanks,
>
> Paul
>
>
>> > [1] http://matplotlib.sourceforge.net/users/path_tutorial.html
>> > [2] http://matplotlib.sourceforge.net/api/path_api.html#matplotlib.path.Path
> [3] https://secure.wikimedia.org/wikipedia/en/wiki/Random_walk
>
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>
>

Am Dienstag, den 21.06.2011, 09:43 -0400 schrieb jos...@gm...:
> On Tue, Jun 21, 2011 at 8:47 AM, Paul Menzel wrote:
> > I want to plot all paths of a simple random walk and wrote the following
> > recursive program based on the Path tutorial [1].
> >
> > import matplotlib.pyplot as plt
> > from matplotlib.path import Path
> > import matplotlib.patches as patches
> >
> > def draw(a, b, c, d):
> > verts = [
> > (a, b),
> > (c, d),
> > (0, 0),
> > ]
> >
> > codes = [
> > Path.MOVETO,
> > Path.LINETO,
> > Path.CLOSEPOLY
> > ]
> >
> > path = Path(verts, codes)
> > patch = patches.PathPatch(path)
> > ax.add_patch(patch)
> >
> > def irrpfad(a, b):
> > if a < length:
> > draw(a, b, a + 1., b + 1.)
> > draw(a, b, a + 1., b - 1.)
> > irrpfad(a + 1, b + 1)
> > irrpfad(a + 1, b - 1)
> >
> >
> > length = 5 # 20 not possible to run
> >
> > fig = plt.figure()
> > ax = fig.add_subplot(111)
> > irrpfad(0, 0)
> > ax.set_xlim(0,length)
> > ax.set_ylim(-length,length)
> > plt.show()
> >
> > Using 20 for `length` stalls my system and the memory used seems to be
> > over 1 GB. I guess this is what you guess using something recursive.
> > What optimizations are there. I am drawing each line after another so
> > probably too many separate paths instead of one. Being a Python noob I
> > do not know if I can append something to a path. Looking at the API
> > documentation [2] I did not see such a method.
> >
> > Being also new to Matplotlib I may have also overlooked more appropriate
> > methods/classes.
> >
> > So to summarize my message,
> >
> > 1. How can I add lines to a path?
> > 2. Are recursive functions bad in Python/Matplotlib?
> > 3. Are there better approaches?
> 
> I'm not sure what you are trying to show, but my impression is that you are
> just producing the grid between integers (move up,down),
Yeah, that is about right [1].
> and paths will not show up because the lines are all on top of each other.
That is not true. My program displays everything correctly when using
for example `length = 5`.
> The number of all paths looks very large to me and even without matplotlib
> overhead, this might soon run into problems.
That is what thought too.
> for example;
> for length= 15; I get 65534 moves in the random walks, but only 240 unique moves
> for length= 20; I get 2097150 moves in the random walks, but only 420 unique moves
> plotting only unique moves is fast (count of moves might work to color the
> amount of traffic on each move)
I am sorry, I think that in my program no section is drawn more than
once.
> rw_moves = []
> def irrpfad2(a, b):
> if a < length:
> rw_moves.append((a, b, a + 1, b + 1))
> rw_moves.append((a, b, a + 1, b - 1))
> irrpfad2(a + 1, b + 1)
> irrpfad2(a + 1, b - 1)
> 
> length = 20 # 20 not possible to run
> irrpfad2(0, 0)
Thank you for the example, but now I need to somehow also add the codes
to be able to pass this to Path.
> I don't know any answer to the matplotlib specific part
Thank you for your other answers.
> > Please find the source also attached. I am using python-matplotlib
> > 1.0.1-2 from Debian Sid/unstable.
Thanks,
Paul
> > [1] http://matplotlib.sourceforge.net/users/path_tutorial.html
> > [2] http://matplotlib.sourceforge.net/api/path_api.html#matplotlib.path.Path
[3] https://secure.wikimedia.org/wikipedia/en/wiki/Random_walk

On Tue, Jun 21, 2011 at 1:50 PM, Frank <fra...@go...> wrote:
> matplotlib python: How do you change the background color of a line plot
> according to a given column? Say I have the following data file
>...
> 2. 1
> 3. 1
> 3. 2
>
> The first column represents the y-values, and the 2nd column should control
> the background color. Say, it plots the (black) line on a white-gray
> alternating background (zebra-like) as proceeding further in x-direction,
> where the transition in color occurs anytime the integer in the 2nd column
> increments. Or other possible solution: Use 2nd column as function argument
> to determine background color.
>
> How would one do this with matlibplot?
You can use axvspan (see below). You'll need to track where the 2nd
column changes, and then use axvspan to make a colored fill between
(x-1, x). Make sure you pass in a low (< 0) zorder number to the
axvspan function so it stays in the background.
pyplot function:
 http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.axvspan
Axes method:
 http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.axvspan
Hope that helps,
 Justin

matplotlib python: How do you change the background color of a line plot
according to a given column? Say I have the following data file
1. 0
4. 0
2. 0
1. 1
2. 1
3. 1
3. 2
1. 2
2. 2
The first column represents the y-values, and the 2nd column should control
the background color. Say, it plots the (black) line on a white-gray
alternating background (zebra-like) as proceeding further in x-direction,
where the transition in color occurs anytime the integer in the 2nd column
increments. Or other possible solution: Use 2nd column as function argument
to determine background color.
How would one do this with matlibplot?
Frank

On Tue, Jun 21, 2011 at 8:47 AM, Paul Menzel <
pau...@us...> wrote:
> Dear Matplotlib folks,
>
>
> I want to plot all paths of a simple random walk and wrote the following
> recursive program based on the Path tutorial [1].
>
> import matplotlib.pyplot as plt
> from matplotlib.path import Path
> import matplotlib.patches as patches
>
> def draw(a, b, c, d):
> verts = [
> (a, b),
> (c, d),
> (0, 0),
> ]
>
> codes = [
> Path.MOVETO,
> Path.LINETO,
> Path.CLOSEPOLY
> ]
>
> path = Path(verts, codes)
> patch = patches.PathPatch(path)
> ax.add_patch(patch)
>
> def irrpfad(a, b):
> if a < length:
> draw(a, b, a + 1., b + 1.)
> draw(a, b, a + 1., b - 1.)
> irrpfad(a + 1, b + 1)
> irrpfad(a + 1, b - 1)
>
>
> length = 5 # 20 not possible to run
>
> fig = plt.figure()
> ax = fig.add_subplot(111)
> irrpfad(0, 0)
> ax.set_xlim(0,length)
> ax.set_ylim(-length,length)
> plt.show()
>
> Using 20 for `length` stalls my system and the memory used seems to be
> over 1 GB. I guess this is what you guess using something recursive.
> What optimizations are there. I am drawing each line after another so
> probably too many separate paths instead of one. Being a Python noob I
> do not know if I can append something to a path. Looking at the API
> documentation [2] I did not see such a method.
>
> Being also new to Matplotlib I may have also overlooked more appropriate
> methods/classes.
>
> So to summarize my message,
>
> 1. How can I add lines to a path?
> 2. Are recursive functions bad in Python/Matplotlib?
> 3. Are there better approaches?
>
I'm not sure what you are trying to show, but my impression is that you are
just producing the grid between integers (move up,down), and paths will not
show up because the lines are all on top of each other.
The number of all paths looks very large to me and even without matplotlib
overhead, this might soon run into problems.
for example;
for length= 15; I get 65534 moves in the random walks, but only 240 unique
moves
for length= 20; I get 2097150 moves in the random walks, but only 420 unique
moves
plotting only unique moves is fast (count of moves might work to color the
amount of traffic on each move)
rw_moves = []
def irrpfad2(a, b):
 if a < length:
 rw_moves.append((a, b, a + 1, b + 1))
 rw_moves.append((a, b, a + 1, b - 1))
 irrpfad2(a + 1, b + 1)
 irrpfad2(a + 1, b - 1)
length = 20 # 20 not possible to run
irrpfad2(0, 0)
I don't know any answer to the matplotlib specific part
Josef
>
> Please find the source also attached. I am using python-matplotlib
> 1.0.1-2 from Debian Sid/unstable.
>
>
> Thanks,
>
> Paul
>
>
> [1] http://matplotlib.sourceforge.net/users/path_tutorial.html
> [2]
> http://matplotlib.sourceforge.net/api/path_api.html#matplotlib.path.Path
>
>
> ------------------------------------------------------------------------------
> EditLive Enterprise is the world's most technically advanced content
> authoring tool. Experience the power of Track Changes, Inline Image
> Editing and ensure content is compliant with Accessibility Checking.
> http://p.sf.net/sfu/ephox-dev2dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Dear Matplotlib folks,
I want to plot all paths of a simple random walk and wrote the following
recursive program based on the Path tutorial [1].
 import matplotlib.pyplot as plt
 from matplotlib.path import Path
 import matplotlib.patches as patches
 
 def draw(a, b, c, d):
 verts = [
 (a, b),
 (c, d),
 (0, 0),
 ]
 
 codes = [
 Path.MOVETO,
 Path.LINETO,
 Path.CLOSEPOLY
 ]
 
 path = Path(verts, codes)
 patch = patches.PathPatch(path)
 ax.add_patch(patch)
 
 def irrpfad(a, b):
 if a < length:
 draw(a, b, a + 1., b + 1.)
 draw(a, b, a + 1., b - 1.)
 irrpfad(a + 1, b + 1)
 irrpfad(a + 1, b - 1)
 
 
 length = 5 # 20 not possible to run
 
 fig = plt.figure()
 ax = fig.add_subplot(111)
 irrpfad(0, 0)
 ax.set_xlim(0,length)
 ax.set_ylim(-length,length)
 plt.show()
Using 20 for `length` stalls my system and the memory used seems to be
over 1 GB. I guess this is what you guess using something recursive.
What optimizations are there. I am drawing each line after another so
probably too many separate paths instead of one. Being a Python noob I
do not know if I can append something to a path. Looking at the API
documentation [2] I did not see such a method.
Being also new to Matplotlib I may have also overlooked more appropriate
methods/classes.
So to summarize my message,
1. How can I add lines to a path?
2. Are recursive functions bad in Python/Matplotlib?
3. Are there better approaches?
Please find the source also attached. I am using python-matplotlib
1.0.1-2 from Debian Sid/unstable.
Thanks,
Paul
[1] http://matplotlib.sourceforge.net/users/path_tutorial.html
[2] http://matplotlib.sourceforge.net/api/path_api.html#matplotlib.path.Path

I'm not sure exactly how you want your minor ticks, but you can try this 
LinearMinorLocator (which is not in the distribution yet).
If you're conversant with git you can find the branch here: 
https://github.com/matplotlib/matplotlib/pull/122
M
On 6/19/11 3:20 PM, mat...@xo... wrote:
> I am having trouble adding minor tick marks to an auto-scaled axis on
> a linear plot. I hope someone can help.
>
> I am drawing a plot where the X axis values are predictable, so I
> have the ability to define the desired major/minor intervals for
> tickmarks and gridlines. The scale of the X axis is automatically
> defined by matplotlib. I have manually specified the major and minor
> X axis tick/grid intervals using:
>
> plt.grid(True, which='both') XmajorLocator XmajorFormatter
> XminorLocator
>
> My Y axis values are not predictable, so I rely on matplotlib to
> autoscale the Y axis, automatically defining the total range of
> values plotted and the major tickmark& gridline intervals. I need
> more gridline resolution, so I would like to be able to add minor
> gridlines to the automatically scaled Y axis, but I'm having trouble
> doing it.
>
> At present the autoscaled Y axis is only producing major ticks and
> major gridlines. I'd like to add minor ticks and gridlines, but I
> have not been successful so far. I'm hoping that someone can point
> out an obvious solution that I've just overlooked. TIA.
>
>
> ------------------------------------------------------------------------------
>
>
EditLive Enterprise is the world's most technically advanced content
> authoring tool. Experience the power of Track Changes, Inline Image
> Editing and ensure content is compliant with Accessibility Checking.
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> _______________________________________________ Matplotlib-users
> mailing list Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hello,
I am trying to display an array with imshow(), however I want to 'turn off'
display of axes, numbers, and all that extra stuff which comes with it. I
want only my array(grayscale image) to be shown
###########################
import wx
import matplotlib
matplotlib.use( 'WXAgg' )
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg
from matplotlib.figure import Figure
class Frame1(wx.Frame):
 def __init__(self, parent):
 wx.Frame.__init__(self,None)
 self.panel1 = wx.Panel(self)
 self.Add_MPL_Plot()
 def Add_MPL_Plot(self):
 figure = Figure(None, 80)
 canvas = FigureCanvasWxAgg(self.panel1, -1, figure)
 canvas.SetSize(wx.Size(300,300))
 subplot = figure.add_subplot(111)
 subplot.imshow(here comes my array) # i did not included it to code
for simplicity
if __name__ == '__main__':
 app = wx.PySimpleApp()
 frame = Frame1(None)
 frame.Show()
 app.MainLoop() 
#########################
is there a way to do it?
another thing, is it possible to open .png images this way? (since it is
possible to save stuff plotted with imshow to .png) 
-- 
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