[Matplotlib-users] axis aspect ratio
Hello everyone, I'm using matplotlib for plotting data results from numerical simulations that involve a lot of geometric calculations. I did read the tutorial, but I haven't been able to figure out the proper way to set the axis aspect ratio to "1" when numerical data is plotted. Here is an example of my plot: http://img715.imageshack.us/img715/9318/projections.png since I need the aspect ratio to be "1" so that I can visually inspect my numerical code for bugs, I would really appreciate the help. I've loaded the data using pylab.load and I've plotted the files without using figure or axes, just plain old pyplot. -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] axis aspect ratio
Thanks a lot! This worked like a charm. I'll need to dig into matplotlib a lot later, but now I have truckloads of bugs in my code to deal with, this will speed me up significantly. Thank you again, Tomislav - Original Message - From: phob...@geosyntec.com Sent: 03/15/10 05:40 PM To: tomislav.ma...@gmx.com, matplotlib-users@lists.sourceforge.net Subject: RE: [Matplotlib-users] axis aspect ratio Give this a shot: import matplotlib.pyplot as plt fig = pl.figure(figsize=(4,4)) ax = fig.add_sublot(1,1,1) # tweak as needed # [plot your data] ax.set_aspect(‘equal’) http://matplotlib.sourceforge.net/api/axes_api.html?highlight=set_aspect#matplotlib.axes.Axes.set_aspect http://matplotlib.sourceforge.net/api/axes_api.html?highlight=set_aspect#matplotlib.axes.Axes.set_aspect From:tomislav_ma...@gmx.com [mailto:tomislav.ma...@gmx.com] Sent: Monday, March 15, 2010 9:33 AM To:matplotlib-users@lists.sourceforge.net Subject: [Matplotlib-users] axis aspect ratio Hello everyone, I'm using matplotlib for plotting data results from numerical simulations that involve a lot of geometric calculations. I did read the tutorial, but I haven't been able to figure out the proper way to set the axis aspect ratio to "1" when numerical data is plotted. Here is an example of my plot: http://img715.imageshack.us/img715/9318/projections.png http://img715.imageshack.us/img715/9318/projections.png since I need the aspect ratio to be "1" so that I can visually inspect my numerical code for bugs, I would really appreciate the help. I've loaded the data using pylab.load and I've plotted the files without using figure or axes, just plain old pyplot. -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] figure: underlying C/C++ object has been deleted
Hi, I forgot to write something in my last email: I just wish to thank the developers of this insanely great tool. Long live open source. Thank you very much for this, it's the best data/graph manipulation software ever. Now, for my question: I'm not sure if I misunderstood something, or is it a bug of some sort. Here is the code with the error: http://pastebin.com/3QUws70n I don't understand, why would a figure object get deleted after it's shown on the screen? What am I doing wrong? Thanks in advance, Tomislav -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] figure: underlying C/C++ object has been deleted
Thanks! :D Thank you very much. The ipython -pylab is working great! Tomislav P.S. Enjoy the Hawaiian sunshine... :D I'm freezing in Munich, Germany... - Original Message - From: Eric Firing Sent: 03/15/10 07:59 PM To: tomislav_ma...@gmx.com Subject: Re: [Matplotlib-users] figure: underlying C/C++ object has been deleted tomislav_ma...@gmx.com wrote: [...] > > Here is the code with the error: > > > http://pastebin.com/3QUws70n > > > > I don't understand, why would a figure object get deleted after it's > shown on the screen? What am I doing wrong? This is a common "gotcha": don't use pyplot.show() anywhere other than at the end of a script, and then only when you want the script to display a figure and block. For working interactively with ipython (which it appears you are doing, and which is recommended), use "ipython -pylab". Then, the figure will be redrawn automatically after pyplot functions are called. If you use a more OO approach, say using the Axes.plot(...) method rather than the pyplot.plot(...) function, you can use pyplot.draw() to force an update when you want one. Eric > > > Thanks in advance, > > Tomislav -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] figure: centering data and plot.svg borders
Hi everyone,
Is there a straightforward way for me to ensure that my data is
centered: allways present on the figure? I'm plotting the results
from complicated geometrical calculations and I need high dpi
so that I can debug the code. I've recorded the session in a log
file and I've modified the ipython logfile into a script. The
result is here:
http://img87.imageshack.us/img87/8306/interfaceprojections.png
and the script is here:
http://pastebin.com/3dkfNDuk
As you see, in the image, a part of the rectangle is missing. It is
actually sort of a rectangle shaped set of finite volumes. What
I'm looking for is to have the whole rectangle (or any other shape)
visible on the axes of the figure, with a properly scaled axes ratio
('equal' in the script). And to reduce the output, could it be possible
to plot just the diagram, without the remaining whitespace?
It seems that when I use
figureOne.set_figheight(number)
figureOne.set_figwidth(number)
it stands for the figure, but not for the axes. I'm interested just in
the axes since it's the only subplot.
Any advice?
I looked in the user guide but I didn't find anything so far... I'll keep
looking.
Thank you in advance,
Tomislav
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Re: [Matplotlib-users] figure: centering data and plot.svg borders
Thanks, adding the axes ([0,0,1,1]) helped!
:)
I'll just be careful so that my calculation domain
is from 0 - 1 in x and y direction, this is something
I have to do anyway. This will definitely work!
Thanks again,
Tomislav
- Original Message -
From: Friedrich Romstedt
Sent: 03/17/10 07:18 PM
To: tomislav_ma...@gmx.com
Subject: Re: [Matplotlib-users] figure: centering data and plot.svg borders
Maybe:
from matplotlib import pyplot as plt
figureOne = plt.figure()
axesOne = figureOne.add_axes([0, 0, 1, 1])
axesOne.plot([-1, 1], [-2, 2])
axesOne.plot([-2, 2], [-1, 1])
axesOne.set_xlim((-3, 3))
axesOne.set_ylim((-3, 3))
figureOne.set_figwidth(2)
figureOne.set_figheight(2)
plt.savefig("Friedrich.png")
Friedrich
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[Matplotlib-users] how to plot a Polygon / plt.draw() problem
Hi everyone, can someone help me to plot a polygon in matplotlib? I have been reading about the axes.patches.Polygon class and I have defined the Polygon object that has a preset lw and points. How do I plot it? I'm confused because the Axes documentation states that this class holds most of the figure objects like Rectangle, Line2D, and then the website states that the Line2D is a return object from the plt.plot() invocation. What if I create my own set of Rectangle (Polygon) objects and want to create a list of them and plot them? Also, I'm using this sequence of commands to work in OO mode interactively (just to learn) but when I execute plt.draw() no figure appears. import numpy as np import matplotlib.pyplot as plt myFig = plt.figure() myAx = myFig.add_axes() # I have tried myFig.add_subplot(1,1,1) but it didn't help x = np.arange(0,np.pi, 0.01) myAx.plot (x, np.sin(x)) plt.draw() # nothing happens These commands are executed within an interactive ipython session but if I start ipython with ipython -pylab, plt.draw() draws a figure I can see. I'm running Arch linux and Openbox as a window manager, the system is 64 bit. -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] how to plot a Polygon / plt.draw() problem
Thank you very much, you helped me a great deal. The video tutorials are great. I'm going through the stuff you sent and things seem to become clearer Tomislav - Original Message - From: John Hunter Sent: 04/11/10 04:19 PM To: tomislav_ma...@gmx.com Subject: Re: [Matplotlib-users] how to plot a Polygon / plt.draw() problem On Sun, Apr 11, 2010 at 7:15 AM, tomislav_ma...@gmx.com wrote: > can someone help me to plot a polygon in matplotlib? > > I have been reading about the axes.patches.Polygon class and I have defined > the > > Polygon object that has a preset lw and points. How do I plot it? > > I'm confused because the Axes documentation states that this class holds > most of > > the figure objects like Rectangle, Line2D, and then the website states that > the Line2D > > is a return object from the plt.plot() invocation. Yes, Axes.plot is a helper function which creates a Line2D object, adds it to the axes, sets the transformation, etc... This process is covered in some detail in the matplotlib Artist tutorial http://matplotlib.sourceforge.net/users/artists.html and in the advanced matplotlib tutorial at scipy -- video available here http://www.archive.org/details/scipy09_advancedTutorialDay1_3 > What if I create my own > set of Rectangle > > (Polygon) objects and want to create a list of them and plot them? If you create your own polygons/rectangles/patches, create them, and then add them with Axes.add_patch http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.add_patch If you want to create a bunch of them, consider a PolygonCollection (or a RegularPolygonCollection depending on your use case) http://matplotlib.sourceforge.net/api/collections_api.html http://matplotlib.sourceforge.net/search.html?q=codex+PolyCollection > Also, I'm using this sequence of commands to work in OO mode interactively > > (just to learn) but when I execute plt.draw() no figure appears. We make a distinction between raising a figure (plt.show) and rendering to an existing figure (plt.draw). In interactive mode (which is what ipython -pylab turns on) figures are automatically raised/shown. You can control these settings from a regular python shell using ion and ioff. See http://matplotlib.sourceforge.net/users/shell.html Here is a complete example:: import matplotlib.patches as patches import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111) verts = [0,0], [0,1], [1,1], [1,0] poly = patches.Polygon(verts) ax.add_patch(poly) ax.set_xlim(-2,2) ax.set_ylim(-2,2) plt.show() Hope this helps, JDH -- Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] plotting in a loop
Hello everyone,
if I read a column file like this (simplified to integers):
0 1 2 3
1 2 3 4
2 3 4 5
3 4 5 6
with: "data = np.loadtxt("fileName")", why can't I use a for loop inside
ipython (started with "-pylab" option) to plot each of the Line2D objects and
then draw them on the plot? I am using matplotlib to debug a computational
geometry code and I would like these lines to plot paused by the user input so
that I can identify when (where) exactly the wrong calculations happen:
import numpy as np
import matplotlib.pyplot as plt
fig1 = plt.figure()
ax1 = fig1.add_subplot(111)
ax1.set_aspect("equal")
for line in data:
raw_input("press enter to plot the line")
ax1.plot([line[0],line[2]],[line[1],line[3]],'b')
plt.draw()
This way I could see with pressing e.g. the return key when my calculations go
wrong any advice?
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Re: [Matplotlib-users] plotting in a loop
Thank you very much Steve! This helped a lot, it worked in the ipython as well,
there is no difference, only that the ipython is interactive and has more
supplementary features. :)
Thanks,
Tomislav
- Original Message -
From: Stephen George
Sent: 04/21/10 03:33 AM
To: matplotlib-users@lists.sourceforge.net
Subject: Re: [Matplotlib-users] plotting in a loop
Hi,
Sorry haven't used ipython, so not sure if there is another/better ipython way.
Attached is how I solved it in normal python.
I added a "next line" button to the graph, and set the ydata for the line each
time the button is pushed.
There is a couple of set_ylim lines commented out, depending on the nature of
your data, it might be appropriate to uncomment one of those, however the
set_aspect line may might mean the graph is very tall and skinny with the
supplied data.
Hope that gives you some ideas for your own code.
Steve
On 21/04/2010 3:35 AM, tomislav_ma...@gmx.com wrote: Hello everyone,
if I read a column file like this (simplified to integers):
0 1 2 3
1 2 3 4
2 3 4 5
3 4 5 6
with: "data = np.loadtxt("fileName")", why can't I use a for loop inside
ipython (started with "-pylab" option) to plot each of the Line2D objects and
then draw them on the plot? I am using matplotlib to debug a computational
geometry code and I would like these lines to plot paused by the user input so
that I can identify when (where) exactly the wrong calculations happen:
import numpy as np
import matplotlib.pyplot as plt
fig1 = plt.figure()
ax1 = fig1.add_subplot(111)
ax1.set_aspect("equal")
for line in data:
raw_input("press enter to plot the line")
ax1.plot([line[0],line[2]],[line[1],line[3]],'b')
plt.draw()
This way I could see with pressing e.g. the return key when my calculations go
wrong any advice?
--
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yourself. Speed compiling, find bugs proactively, and fine-tune applications
for parallel performance. See why Intel Parallel Studio got high marks during
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