[Matplotlib-users] quiver with angles

2009-09-11 Thread n.l.o

Im a bit confused of how I should use the quiver plotting function.

My data is 2D, a 512x512 data array, where every entry is an angle
(polarimetry).
I also have an array with the degree of polarization which would be nice to
colour-code in to the arrows.
So:
How do I use my angles to control the direction of the arrows, and how do I
get values to control the colour of the arrows?

Cheers,
Magnus

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Re: [Matplotlib-users] segfault on plot

2009-09-11 Thread Dave
Eric Firing efir...@... writes:

 
 Dave wrote:
  I upgraded my numpy to 1.4.0.dev7375 and scipy to 0.8.0.dev5920. After 
  doing so I get a segfault upon calling the plot command (see below)
 
 What happens if you simply do
 
 x = randn(100) 

 or

 plot([1,2,3,2,1])
 
 
 My guess is that you are seeing a numpy installation problem, not a 
 matplotlib problem (that is, I expect the first trial above to fail and 
 the second to succeed), and that the problem may be that you did not 
 delete the build directory before rebuilding numpy from source. 
 Distutils often fails to rebuild components that need to be recompiled 
 after a change to the source, so the build and install appear to work, 
 but the resulting numpy (or matplotlib, for that matter) does not.
 
 Eric
 

I initially had problems with numpy/scipy as I forgot to delete the build
directories. After doing so  recompiling they both passed all tests (barring
some known issues with windows  arctan -
http://article.gmane.org/gmane.comp.python.numeric.general/31967)

x = randn(100) worked fine and returned expected results for .mean() and .std()
the segfault only occurred upon calling the plot(x).

I resolved the issue by compiling matplotlib from source on my windows box 
which I'm happy to report wasn't too difficult! It seems to work for my usual
interactive use however it segfaults when running the tests :|

http://pastebin.com/m5ee30885

HTH,
Dave


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Re: [Matplotlib-users] logarithmic colormaps for imshow

2009-09-11 Thread John [H2O]

Must be something about asking the right question... 

This works perfectly.

For those interested, my code is now as: 
dmn = 0.1
dmx = 100
logspace = 10.**np.linspace(dmn, dmx, 100) 
clevs = logspace
colmap = pyplot.get_cmap('gist_ncar')
im =
m.imshow(topodat,cmap=colmap,norm=LogNorm(vmin=clevs[0],vmax=clevs[-1]))

## CREATE COLORBAR 
## make a copy of the image object
## use non normalized colormap 
im2 = copy.copy(im)
im2.set_cmap(colmap)
## create new axis for colorbar.
cax = pyplot.axes([l+w+0.025, b, 0.025, h]) # setup colorbar axes
## using im2, not im (hack to prevent colors from being
## too compressed at the low end on the colorbar - results
## from highly nonuniform colormap)
pyplot.colorbar(im2, cax, format='%3.2g') # draw colorbar
## reset colorbar tick labels
clabels = clevs[::10]
clabels.append(clevs[-1])
cax.set_yticks(np.linspace(0,1,len(clabels)))
cax.set_yticklabels(['%3.2g' % cl for cl in clabels])
## make the original axes current again
pyplot.axes(ax) 



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[Matplotlib-users] Barchart with dates on X-axis

2009-09-11 Thread Alexander Bruy
Hi list,

I need to plot a barchart with dates on X-axis and values on Y-axis. This 
barchart must show the presence or absence of some factors in a some time. I 
try to use the barchart_demo.py as example, but in my case (X-values are 
dates in datetime format) this not quite fit.

I want to get something like attached example. Is this possible? Which type of 
graphs (hist, bar...) and how I need to use?

Thanks,
  Alexander

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[Matplotlib-users] Math text produces garbage output

2009-09-11 Thread Kamran Riaz Khan
Matplotlib's built-in mathematical expression parser produces garbage
output for math text:

http://img3.imageshack.us/img3/8194/matplotlibmathtext.png

I'm using the distribution packages from Fedora 11. I guess there's an
issue with the fonts on my system but I can't figure out how to proceed
with pinpointing the issue.

Regards,
-- 
Kamran Riaz Khan.

http://inspirated.com/


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Re: [Matplotlib-users] Math text produces garbage output

2009-09-11 Thread Michael Droettboom
Can you add

verbose.level : debug-annoying

to your ~/.matplotlib/matplotlibrc file and send us the output produced?

FWIW, I just tested the matplotlib package on FC11 and it seems to work 
fine on my system, so it's possibly a configuration issue.

You might want to try removing for font cache file in:

~/.matplotlib/fontList.cache

Mike

Kamran Riaz Khan wrote:
 Matplotlib's built-in mathematical expression parser produces garbage
 output for math text:

 http://img3.imageshack.us/img3/8194/matplotlibmathtext.png

 I'm using the distribution packages from Fedora 11. I guess there's an
 issue with the fonts on my system but I can't figure out how to proceed
 with pinpointing the issue.

 Regards,
   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA


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Re: [Matplotlib-users] Math text produces garbage output

2009-09-11 Thread Kamran Riaz Khan
On 09/11/2009 07:28 PM, Michael Droettboom wrote:
 Can you add
 
 verbose.level : debug-annoying
 
 to your ~/.matplotlib/matplotlibrc file and send us the output produced?
 
 FWIW, I just tested the matplotlib package on FC11 and it seems to work
 fine on my system, so it's possibly a configuration issue.
 
 You might want to try removing for font cache file in:
 
 ~/.matplotlib/fontList.cache

Thanks for the quick reply. I deleted the fontList.cache file and added
verbose.level : debug-annoying to my matplobrc file. The next run of
pyplot example gave me:

http://pastebin.com/f6d783aec

The plot didn't appear but I guess that's the default behavior of
verbose level option. I removed the debug-annoying and reran the example
which in turn gave me the same image output as before.

 Kamran Riaz Khan wrote:
 Matplotlib's built-in mathematical expression parser produces garbage
 output for math text:

 http://img3.imageshack.us/img3/8194/matplotlibmathtext.png

 I'm using the distribution packages from Fedora 11. I guess there's an
 issue with the fonts on my system but I can't figure out how to proceed
 with pinpointing the issue.

-- 
Kamran Riaz Khan.

http://inspirated.com/

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[Matplotlib-users] Documentation

2009-09-11 Thread Sebastian Pająk
Hi

Where can I download current mpl documentation in HTML format? Because
there is now way to build it under win32

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Re: [Matplotlib-users] segfault on plot

2009-09-11 Thread Andrew Straw
Dave wrote:

 I resolved the issue by compiling matplotlib from source on my windows box 
 which I'm happy to report wasn't too difficult! It seems to work for my usual
 interactive use however it segfaults when running the tests :|

 http://pastebin.com/m5ee30885
   
Thanks for running this. To my knowledge, you're the first one to run 
the new test infrastructure on Windows, so congratulations. :)

(I presume you erased the MPL/build directory before compiling to clear 
out any cruft in there.)

Anyhow, I have no clue what's going on. Is there any way you can get a 
stack trace? And why do you say segfault -- did Windows pop up a dialog? 
What did it say?

One of these days I will try to get a Windows buildslave for the MPL 
buildbot,
-Andrew

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Re: [Matplotlib-users] Math text produces garbage output

2009-09-11 Thread Michael Droettboom
The log doesn't show any actual plotting.  Did you run the same example 
with debug-annoying turned on?  Turning debugging on shouldn't change 
any behavior -- only output more debugging information to the console.

Cheers,
Mike

Kamran Riaz Khan wrote:
 On 09/11/2009 07:28 PM, Michael Droettboom wrote:
   
 Can you add

 verbose.level : debug-annoying

 to your ~/.matplotlib/matplotlibrc file and send us the output produced?

 FWIW, I just tested the matplotlib package on FC11 and it seems to work
 fine on my system, so it's possibly a configuration issue.

 You might want to try removing for font cache file in:

 ~/.matplotlib/fontList.cache
 

 Thanks for the quick reply. I deleted the fontList.cache file and added
 verbose.level : debug-annoying to my matplobrc file. The next run of
 pyplot example gave me:

 http://pastebin.com/f6d783aec

 The plot didn't appear but I guess that's the default behavior of
 verbose level option. I removed the debug-annoying and reran the example
 which in turn gave me the same image output as before.

   
 Kamran Riaz Khan wrote:
 
 Matplotlib's built-in mathematical expression parser produces garbage
 output for math text:

 http://img3.imageshack.us/img3/8194/matplotlibmathtext.png

 I'm using the distribution packages from Fedora 11. I guess there's an
 issue with the fonts on my system but I can't figure out how to proceed
 with pinpointing the issue.

   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA


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[Matplotlib-users] adjusting width of subplot columns

2009-09-11 Thread per freem
hi all,

i have a 3x2 subplot figure, and i would like to adjust the relative
width of the second column. in other words, if i have:

import matplotlib.pyplot as plt
plt.subplot(3, 2, 1)
# plot stuff
plt.subplot(3, 2, 2)
# plot, etc...

i want to make it so the second column occupies less width in the
figure than the first column. for example, i want the series of
subplots in the first column to take up 70% of the figure, and the
subplots in the second column to take up only 30%. is there a way to
do this?

i looked into plt.subplots_adjust but i do not know how to use that
function to get this desired effect.

thanks.

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[Matplotlib-users] error bars getting cut off when plotting

2009-09-11 Thread per freem
hi all,

i have the following simple plot using the 'errorbars' function. when
i plot it, one of the error bars is cut off:

from numpy import *
from scipy import *
from mpl_toolkits.axes_grid.axislines import SubplotZero
fig = plt.figure()
ax = SubplotZero(fig, 3, 2, 1)
fig.add_subplot(ax)
ax.axis[xzero].set_visible(True)
for k in [bottom, top, right]:
ax.axis[k].set_visible(False)
m = array([0.83820351, 0.816858357])
sd = array([0.18543833, 0.12603507])
lw = 1.2
msize = 3
plt.errorbar([1, 2], m, yerr=sd, fmt='-s', markersize=msize, linewidth=lw)
tm = .8
lower_y = max(tm-.2, 0)
upper_y = min(tm+.4, 1)
ytickvals = arange(lower_y, upper_y + .1, .1)
plt.xlim([0, 3])
plt.yticks(ytickvals)
plt.ylim([lower_y, upper_y])
plt.savefig('test.pdf')

when i plot it, the top error bar of the first data point gets cut
off. this error bar should be at location:
0.83820351+0.18543833 which slightly exceeds the ylimit of 1.
since the y value here is a probability, i dont want the plot to have
labels on it that exceed 1, since that does not make sense. is there
any way to allow more room for the y axis without plotting values
greater than 1? this is only for the purpose of errorbars. again,
these data were just various probabilities, and so they never exceed
1.

thanks.

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Re: [Matplotlib-users] quiver with angles

2009-09-11 Thread Eric Firing
n.l.o wrote:
 Im a bit confused of how I should use the quiver plotting function.
 
 My data is 2D, a 512x512 data array, where every entry is an angle
 (polarimetry).
 I also have an array with the degree of polarization which would be nice to
 colour-code in to the arrows.
 So:
 How do I use my angles to control the direction of the arrows, and how do I
 get values to control the colour of the arrows?
 
 Cheers,
 Magnus
 

Example with ipython -pylab:

x = arange(4)
y = arange(5)
X, Y = meshgrid(x, y)
u = ones_like(X)
v = zeros_like(X)
c = arange(u.size)  # values mapped to colors
angles = (X * 20 + Y * 20).ravel()
quiver(X, Y, u, v, c, angles=angles)
axis([-1, 4, -1, 5])


The .ravel() of the angles is to get around a bug that I fixed a few 
minutes ago in svn.

Eric


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[Matplotlib-users] Little help needed with pqt ...

2009-09-11 Thread Laurent Dufrechou
Hello,

I face a very boring problem.
Here is a little modified pyqt widget example found on matplotlib website.
Basicaly I've just added a tab widget and inside it a matplotlib widget.

Sadly, on creation the widget don't get the full size of the PA_tab widget
:(
BUT once I resize manually the app all became OK...

To be honest I've got NO idea of what is the problem :(

Any direction highly appreciated!

Laurent

matplotlib:
__version__  = '0.98.5.2'

And pyqt: 4.4.3.6


#!/usr/bin/env python

# embedding_in_qt4.py --- Simple Qt4 application embedding matplotlib canvases
#
# Copyright (C) 2005 Florent Rougon
#   2006 Darren Dale
#
# This file is an example program for matplotlib. It may be used and
# modified with no restriction; raw copies as well as modified versions
# may be distributed without limitation.

import sys, os, random
from PyQt4 import QtGui, QtCore

from numpy import arange, sin, pi
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure

progname = os.path.basename(sys.argv[0])
progversion = 0.1


class MyMplCanvas(FigureCanvas):
Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.).
def __init__(self, parent=None, width=5, height=4, dpi=100):
fig = Figure(figsize=(width, height), dpi=dpi)
self.axes = fig.add_subplot(111)
# We want the axes cleared every time plot() is called
self.axes.hold(False)

self.compute_initial_figure()

#
FigureCanvas.__init__(self, fig)
self.setParent(parent)

FigureCanvas.setSizePolicy(self,
   QtGui.QSizePolicy.Expanding,
   QtGui.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)


def compute_initial_figure(self):
pass


class MyStaticMplCanvas(MyMplCanvas):
Simple canvas with a sine plot.
def compute_initial_figure(self):
t = arange(0.0, 3.0, 0.01)
s = sin(2*pi*t)
self.axes.plot(t, s)


class MyDynamicMplCanvas(MyMplCanvas):
A canvas that updates itself every second with a new plot.
def __init__(self, *args, **kwargs):
MyMplCanvas.__init__(self, *args, **kwargs)
timer = QtCore.QTimer(self)
QtCore.QObject.connect(timer, QtCore.SIGNAL(timeout()), 
self.update_figure)
timer.start(1000)

def compute_initial_figure(self):
 self.axes.plot([0, 1, 2, 3], [1, 2, 0, 4], 'r')

def update_figure(self):
# Build a list of 4 random integers between 0 and 10 (both inclusive)
l = [ random.randint(0, 10) for i in xrange(4) ]

self.axes.plot([0, 1, 2, 3], l, 'r')
self.draw()


class ApplicationWindow(QtGui.QMainWindow):
def __init__(self):
QtGui.QMainWindow.__init__(self)
self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
self.setWindowTitle(application main window)

self.centralwidget  = QtGui.QWidget(self)
self.verticalLayout = QtGui.QVBoxLayout(self.centralwidget)
self.MainTab = QtGui.QTabWidget(self.centralwidget)
self.verticalLayout.addWidget(self.MainTab)
self.PA_tab  = QtGui.QWidget()
self.MainTab.addTab(self.PA_tab, )
toto = MyDynamicMplCanvas(self.PA_tab)

self.vLayout = QtGui.QVBoxLayout(self.PA_tab)
self.vLayout.addWidget(toto)


self.setCentralWidget(self.centralwidget)
self.resize(QtCore.QSize(1024,900))

def fileQuit(self):
self.close()

def closeEvent(self, ce):
self.fileQuit()

def about(self):
QtGui.QMessageBox.about(self, About %s % progname,
u%(prog)s version %(version)s
Copyright \N{COPYRIGHT SIGN} 2005 Florent Rougon, 2006 Darren Dale

This program is a simple example of a Qt4 application embedding matplotlib
canvases.

It may be used and modified with no restriction; raw copies as well as
modified versions may be distributed without limitation.
% {prog: progname, version: progversion})


qApp = QtGui.QApplication(sys.argv)

aw = ApplicationWindow()
aw.setWindowTitle(%s % progname)
aw.show()
sys.exit(qApp.exec_())
#qApp.exec_()
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[Matplotlib-users] Re :Re: Little help need ed with pqt ...

2009-09-11 Thread laurent . dufrechou

Hi Darren,

Thanks for your answer.
... I've updated to matplotlib 0.99 since the last email... and the bug  
disappeared :)
Must be a bug of previous version since I had ever added a layout to the  
central widget!


Thanks anyway for your help!


On Fri, Sep 11, 2009 at 5:52 PM, Laurent Dufrechou



laurent.dufrec...@gmail.com wrote:



 Hello,







 I face a very boring problem.


 Here is a little modified pyqt widget example found on matplotlib  
website.



 Basicaly I've just added a tab widget and inside it a matplotlib widget.






 Sadly, on creation the widget don't get the full size of the PA_tab  
widget



 :(



 BUT once I resize manually the app all became OK...







 To be honest I've got NO idea of what is the problem :(







 Any direction highly appreciated!





Try adding a layout to the central widget and adding your tab widget



to that layout.





Darren


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Re: [Matplotlib-users] Re :Re: Little help needed with pqt ...

2009-09-11 Thread Darren Dale
I think this was fixed in 0.99 by the removal of a call to
processEvents, which was causing segfaults in other contexts.

On Fri, Sep 11, 2009 at 6:32 PM,  laurent.dufrec...@gmail.com wrote:
 Hi Darren,

 Thanks for your answer.
 ... I've updated to matplotlib 0.99 since the last email... and the bug
 disappeared :)
 Must be a bug of previous version since I had ever added a layout to the
 central widget!

 Thanks anyway for your help!

 On Fri, Sep 11, 2009 at 5:52 PM, Laurent Dufrechou

 laurent.dufrec...@gmail.com wrote:

  Hello,

 

  I face a very boring problem.

  Here is a little modified pyqt widget example found on matplotlib
  website.

  Basicaly I've just added a tab widget and inside it a matplotlib widget.

 

  Sadly, on creation the widget don't get the full size of the PA_tab
  widget

  :(

  BUT once I resize manually the app all became OK...

 

  To be honest I've got NO idea of what is the problem :(

 

  Any direction highly appreciated!



 Try adding a layout to the central widget and adding your tab widget

 to that layout.



 Darren

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finding anything like the correct theory ... simply because the
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[Matplotlib-users] plt.gray dont' work with plt.scatter?

2009-09-11 Thread lotrpy
Hello, Sorry for my broken english. I copy the source code from
http://matplotlib.sourceforge.net/examples/pylab_examples/scatter_demo.html

Just Insert one line gray() before the last line show().
But the picture is sitll colorful. not a gray picture.
It there somethig I missed. Thanks in advance.


bar.py
Description: Binary data
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