Re: [Matplotlib-users] Add some explanatory text to the legend
On 1/25/2012 1:32 PM, Neal Becker wrote: > I have a legend that is going to have some abbreviations to compactly indicate > the properties of different lines in a graph. I'd like to add a little 'key' > to > explain what the notation means. Any suggestion? I was thinking of the annotate functionality, but on second thought, I think you are looking for something like http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.text Regards, Ethan -- Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Eye patterns (Heat plot?)
On 1/23/2012 1:55 PM, Russ Dill wrote: > On Mon, Jan 23, 2012 at 11:17 AM, Stan West wrote: >>> From: Russ Dill [mailto:russ.d...@gmail.com] >>> Sent: Saturday, January 21, 2012 16:31 >>> >>> I'm using matplotlib from pylab to generate eye patterns for signal >>> simulations. >> ... >> >>> Is there any way within matplotlib to do that right now? >> One way combines Numpy's histogram2d and matplotlib's imshow, as in the >> example in the histogram2d docs [1]. The example's x array should become all >> of the time samples in your traces, strung together in one dimension; the y >> array, the corresponding voltage samples. >> > I'll try it out and see what I get, but I don't think it will work so > well. The problem is that while the data is made up of x/y samples, it > actually represents a line. The samples should be evenly distributed > not along the x or y axis, but along the length of the line. I feel > like I'll need a line drawing algorithm. > > (For example, if samples are evenly distributed along the x axis, a 89 > degree line is highly under-represented, but a 1 degree line is highly > over-represented. The number of samples should be sqrt(dx^2 + dy^2), > but with evenly spaced x samples, its just dx. I don't know of a way to directly produce the LeCroy heatmap in Python, so here's my idea for a hack: *Each sample point you have from the trace represents a point in XY coordinates. *Similarly, the plot area is filled with regularly spaced XY coordinates. *Every trace sample will fall within a square bounding box with four points. *Each plot area point gets a membership value, based on distance between centers of the sample point and the plot area point. *To construct the heat diagram, sum the membership values of all sample points for all traces. *Display it with a contour plot, but without the isovalue lines. -Ethan -- Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] MQMQ: How to adjust the size and scale of the x-y axis of the graph.Thanks.
On 1/20/2012 5:31 PM, MQMQ wrote: > Dear all, > > Could you guys share your experience on: > How to adjust the size and scale of the x-y axis of the plot (e.g. how to > resize the "0 1 2" on x axis ), Thanks? > And special commands in matplotlib? > > Thank you so much in advanced. > MQMQ You can change the font sizes for most of the plotting elements with the pyplot variable pyplot.rcParams. Change the range of the XY axes by calling pypolt.xlim(0,360) pyplot.ylim(-0.01,4.05) -or- pyplot.axis(0,360,-0.01,4.05) and you can adjust the ticmark values by pyplot.xticks(range(360)) Also look into the pyplot.setp method. -Ethan -- Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] xlabel cut off in the example embeding_in_qt4.py
On 1/21/2012 9:12 PM, Forest Yang wrote: > Hi, > > I am embedding a plot in Qt4 application, following the matplotlib > example embeding_in_qt4.py, however I found that the xlabel is cut > off, although the label shows more if I resize the window, still it is > not the right one. Is it because of my local parameter settings or > it's the limit of the example code. How can I fix this ? > >Thanks. > > Best regards, > Forest Yang I dashed that last reply off quickly - a more complete answer would address your local parameter settings. In pyplot.rcParams, you can set the default values for a number of parameters. In this case, I believe the parameters that will affect the cropping are the image size and the sizes of the axis labels and tics. I'm fairly new to these items myself - I'm not convinced that changes rcParams will be preserved from one python session to the next. -Ethan -- Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] xlabel cut off in the example embeding_in_qt4.py
On 1/21/2012 9:12 PM, Forest Yang wrote: > Hi, > > I am embedding a plot in Qt4 application, following the matplotlib > example embeding_in_qt4.py, however I found that the xlabel is cut > off, although the label shows more if I resize the window, still it is > not the right one. Is it because of my local parameter settings or > it's the limit of the example code. How can I fix this ? > >Thanks. > > Best regards, > Forest Yang Take a look into pyplot.subplots_adjust - you can specify buffers there as a fraction of the window size, e.g. pyplot.subplots_adjust(0.155,0.12,0.95,0.9) works well for a 3.5"x3" figure with 8-pt font on the axis labels and tics. -Ethan -- Try before you buy = See our experts in action! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-dev2 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to tell savefig() image size in pixels
It's a bit of a pain:
xPix = 900
yPix = 600
xSize = 3 #inches
ySize = xSize/xPix*yPix
gcf().set_inches_size(xSize,ySize)
gcf().savefig('test.png',dpi=xSize/xPix)
You can also chance pyplot.rcParams - it's a dictionary of default values.
On 1/17/2012 12:10 PM, Keith Hughitt wrote:
I'd also be interested if anyone has a suggestion for how to save a
figure such that the pixel dimensions of a subplot (e.g. an image) are
set.
On Sat, Jan 14, 2012 at 8:57 AM, klo uo > wrote:
I browsed Google, and found mainly outdated code examples (also on
scipy cookbook) then some 2008 posts on StackOverflow where at
least I find some trace that matplotlib.figure.Figure has some
instruments to change output image size, but it's in combination
from inches and dpi set. However I just couldn't find how to tell
my plt graph to use this matplotlib.figure.Figure settings, and
ended editing matplotlibrc file and changing inches and DPI there
Shouldn't be there some easier setting to set image size for
savefig() output?
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[Matplotlib-users] Bug in griddata
Hi-
I was working off of the example listed at
http://matplotlib.sourceforge.net/examples/pylab_examples/griddata_demo.html,
adapting it to my own data, and encountered the following error on MLAB
1.1.0, Python 2.7.2:
from numpy.random import uniform, seed
from matplotlib.mlab import griddata
import matplotlib.pyplot as plt
import numpy as np
# make up data.
#npts = int(raw_input('enter # of random points to plot:'))
seed(0)
npts = 200
x = uniform(-2,2,npts)
y = uniform(-2,2,npts)
z = x*np.exp(-x**2-y**2)
xi = np.linspace(0,60,100) # <= my xdata range
yi = np.linspace(0,0.9,200) # <= my ydata range
zi = griddata(x,y,z,xi,yi,interp='linear')
which produces
---
ValueErrorTraceback (most recent call last)
C:\Users\Ethan\code\PythonScripts\ in
()
> 1 zi = griddata(x,y,z,xi,yi,interp='linear')
It seems that 'xi,yi = np.meshgrid(xi,yi)' from line 2766 of mlab.py
doesn't always produce uniformly spaced data, as the test for uniform
data fails at line 2779. Ignoring the error, however, results in
satisfactory evaluation of interp() on 2783.
Can anyone else reproduce?
Regards,
Ethan
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Re: [Matplotlib-users] exact figure size frustration
On 1/8/2012 2:29 AM, Eric Firing wrote:
> On 01/07/2012 07:01 PM, Ethan Swint wrote:
>> Hi, list-
>>
>> This question has been asked before, but all of my search results don't
>> address my problem:
>>
>> fig = figure(1, figsize=(3.25, 3))
>> plot([0,1,5,2,9])
>> title('title')
>> xlabel('xAxis')
>> ylabel('yAxis')
>> fig.savefig('test.png',dpi=600)
>>
>> The resulting figure is 2040x1890 pixels, or 3.4"x3.15", and the xlabel
>> is cut off. Looking at the PNG file in an image editor, it appears that
>> the axes and ticklabels fit the desired size. I've tried taking the
>> difference from the output size and requested size and feeding that back
>> in (3.25 - (3.4-3.25) = 3.10, but matplotlib seems to add an arbitrary
>> buffer and it still doesn't come out to the desired size. How does one
>> make an overall figure that is the desired size?
> Ethan,
>
> There seem to be two questions here. First, when I run your code, I get
> a png file of the right size:
>test.png: PNG image data, 1950 x 1800, 8-bit/color RGBA, non-interlaced
>
> What version of mpl are you using? I don't recall that it ever had the
> property you are reporting, generating a larger figure than requested.
>
> The second question is about the xlabel getting cut off. This is
> happening because mpl is using default subplot parameters that leave
> plenty of space for tick labels and axis labels with the default figure
> size, but don't leave enough if the figure is much smaller, and leave
> too much if the figure is much bigger. The subplot parameters are
> expressed as fractions of the figure size, but the text does not scale
> automatically with the figure size. Therefore you have to either
> specify the Axes position manually to leave the right size margins, or
> use subplots_adjust. When a figure is displayed on the screen, there is
> a button on the toolbar that brings up a subplots_adjust widget; this
> can be used to find values appropriate for your figure size, which you
> can then supply to your script. In the standard set of mpl examples
> there are many instances of subplots_adjust, e.g.,
> http://matplotlib.sourceforge.net/examples/pylab_examples/subplots_adjust.html
Eric-
Thanks for your reply. I actually had the MPL version copied, but
somehow I forgot to paste it: matplotlib.__version__ is 1.0.1 on Python
2.7.2, Ipython v. 0.11, on Windoze 7 x64. Around 2AM I found that if I
called fig.set_size_inches(3.25,3) just before calling fig.savefig(), it
did produce the proper size image.
For your viewing pleasure, on my system I get:
In [228]: fig = figure(3, figsize=(3.15, 3.15))
In [229]: fig.savefig('test0.png',dpi=600)
In [230]: fig.get_size_inches()
Out[230]: array([ 3.3, 3.3])
<\code>
The output is indeed 3.3"x3.3" (1980x1980). I'll upgrade to MPL 1.1.0
and see if that helps the initial size problem.
As for subplots_adjust - I'll have to dig into that. Will I need to
make my figure with subplot(111) instead of figure()? Hmm - off to
experiment.
Thanks,
Ethan
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[Matplotlib-users] exact figure size frustration
Hi, list-
This question has been asked before, but all of my search results don't
address my problem:
fig = figure(1, figsize=(3.25, 3))
plot([0,1,5,2,9])
title('title')
xlabel('xAxis')
ylabel('yAxis')
fig.savefig('test.png',dpi=600)
The resulting figure is 2040x1890 pixels, or 3.4"x3.15", and the xlabel
is cut off. Looking at the PNG file in an image editor, it appears that
the axes and ticklabels fit the desired size. I've tried taking the
difference from the output size and requested size and feeding that back
in (3.25 - (3.4-3.25) = 3.10, but matplotlib seems to add an arbitrary
buffer and it still doesn't come out to the desired size. How does one
make an overall figure that is the desired size?
Thanks,
Ethan
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Re: [Matplotlib-users] Noob assist: trailing value graph
Aha! I knew it must be that simple, I just yet hadn't hit on step. Thanks, Ethan On 08/19/2010 09:14 PM, Ryan May wrote: > On Thu, Aug 19, 2010 at 5:03 PM, Ethan Swint wrote: > >> Hi- >> >> I'm trying to plot an XY line graph with discrete XY pairs in it with a >> step response between each pair. In other words, on the range [X1,X2), >> it should have a horizontal line at Y1, at X2, the line goes vertical >> from Y1 to Y2, then on the range [X2,X3), it should have a horizontal >> line at Y2. I haven't seen any examples yet, and my forays into the >> documentation haven't yielded up a simple way to do this. Is there a >> simple option to do this, or do I have to pad my data with X1, >> X2-epsilon, X2, X3-epsilon, etc. >> > What you're looking for is the step() plotting function: > >step(x, y, *args, **kwargs) > > Make a step plot. Additional keyword args to :func:`step` are the same > as those for :func:`~matplotlib.pyplot.plot`. > > *x* and *y* must be 1-D sequences, and it is assumed, but not checked, > that *x* is uniformly increasing. > > Keyword arguments: > > *where*: [ 'pre' | 'post' | 'mid' ] >If 'pre', the interval from x[i] to x[i+1] has level y[i+1] > >If 'post', that interval has level y[i] > >If 'mid', the jumps in *y* occur half-way between the >*x*-values. > > Ryan > > -- This SF.net email is sponsored by Make an app they can't live without Enter the BlackBerry Developer Challenge http://p.sf.net/sfu/RIM-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Noob assist: trailing value graph
Hi- I'm trying to plot an XY line graph with discrete XY pairs in it with a step response between each pair. In other words, on the range [X1,X2), it should have a horizontal line at Y1, at X2, the line goes vertical from Y1 to Y2, then on the range [X2,X3), it should have a horizontal line at Y2. I haven't seen any examples yet, and my forays into the documentation haven't yielded up a simple way to do this. Is there a simple option to do this, or do I have to pad my data with X1, X2-epsilon, X2, X3-epsilon, etc. Thanks, Ethan -- This SF.net email is sponsored by Make an app they can't live without Enter the BlackBerry Developer Challenge http://p.sf.net/sfu/RIM-dev2dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
