Re: [Matplotlib-users] Image as marker and axes equal aspect ratio
On 22 September 2012 16:57, Jae-Joon Lee wrote: I recommend you to use OffsetImage. Here is an example of how one can use OffsetImage. http://matplotlib.org/examples/pylab_examples/demo_annotation_box.html And attached is the modified version of the original script. Thank you JJ, I wasn't aware of OffsetImage. It works perfectly now, thanks again. Andrea. Imagination Is The Only Weapon In The War Against Reality. http://xoomer.alice.it/infinity77/ -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] matplotlib 1.2.0rc2 is available
matplotlib 1.2.0rc2 is available! This is the culmination of many months of hard work. 1.2.0 is the first release to support Python 3.x, and drops support for Python 2.5 and earlier. A more detailed list of changes is available here: http://matplotlib.org/1.2.0/users/whats_new.html For the first time, downloads are being made available through github, and not through sourceforge, so the release and binaries can be downloaded here: https://github.com/matplotlib/matplotlib/downloads https://github.com/matplotlib/matplotlib/downloads (Due to a compiler difference, we do not have binaries for 32-bit OS-X, but we hope to have them available soon.) Documentation for the new release is available here: http://matplotlib.org/1.2.0/ http://matplotlib.org/1.2.0/users/whats_new.html (The main matplotlib.org site will continue to host the documentation for 1.1.1 until the final 1.2.0 release). Go forth, download, kick the tires, and let us know what breaks! (Either here or on the github issue tracker). Cheers, Mike -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] set_clip_mask() single polygon for multiple subplots
I'd like to use the same patch to clip two images that share the same axes, and extract values from the un-clipped region of both arrays. Unfortunately this seems harder than expected. Code questions below, Thanks! from matplotlib.patches import Polygon import matplotlib.pyplot as plt from numpy import random poly = patches.Circle((5,5), radius=3, fill=False, ec='none') fig = plt.figure() ax = fig.add_subplot(121) ax.autoscale_view(0,0,0) test = random.rand(10,10) im = ax.imshow(test) test1 = random.rand(10,10) # How to prevent automatic axis scaling? ax1 = fig.add_subplot(122, sharex=ax, sharey=ax) im1 = ax1.imshow(test1) ax.add_patch(poly) im.set_clip_path(poly) # Doesn't work b/c poly vertices auto-transformed to display coords by add_patch? ax1.add_patch(poly) im1.set_clip_path(poly) # How to extract non-clipped values instead of full array? clipped_data = im.get_array() plt.show() -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] example of pareto chart
On Mon, Sep 24, 2012 at 12:21 AM, Paul Tremblay paulhtremb...@gmail.comwrote: Here is my example of a Pareto chart. For an explanation of a Pareto chart: http://en.wikipedia.org/wiki/Pareto_chart Could I get this chart added to the matplolib gallery? Thanks Paul Your code looks overly complicated. You shouldn't have to be doing the connection to the ylim_changed event, I don't think. I think your main problem is that you are calling ax1.plot instead of ax2.plot. I am not against adding more examples to the gallery, but this would have to be cleaned up before it gets included. Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Qt4/PySide memory leak
I've run into a large memory leak using Matplotlib with PySide and the
Qt4 back end. I'm using :
Python 3.2
Numpy 1.6.2
Pyside 1.1.1 (qt474)
Matplotlib 1.2 (first the Capetown Group port to Python 3, then 1.2 RC2)
on Windows XP 32 bit
I've tried using the Python 2.7 branch of all of the above and don't see
the problem. I don't see the problem with the Tk back end. I don't see
the problem with the Qt4 back end and PyQt4. Only with the above
mentioned versions and using the Qt4 back end with PySide.
The following script will reproduce the problem :
import matplotlib
matplotlib.use('Qt4Agg')
matplotlib.rcParams['backend.qt4']='PySide'
import pylab
arrayX = []
arrayY = []
for nIndex in range(0, 100):
arrayX.append(nIndex)
arrayY.append(nIndex)
Figure = matplotlib.pyplot.figure(1)
Axes = Figure.add_axes([ 0.05, 0.05, 0.95, 0.95])
Axes.plot(arrayX,
arrayY,
color = blue,
marker = o,
markersize = 5.0)
Axes.set_xlim(arrayX[0], arrayX[len(arrayX) - 1])
Axes.set_ylim(arrayY[0], arrayY[len(arrayY) - 1])
matplotlib.pyplot.show()
I run the above, grab the lower right sizing handle on the plot window
and start resizing the window. Watching the python process in task
manager, each resize leaks a noticeable amount of memory. A few minutes
of this will get process memory up to ~2.5 GB. At that point it
crashes.
I'm new here, am I in the right place?
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Re: [Matplotlib-users] A pie chart with rotated text labels
On Monday, September 24, 2012, Martin Mokrejs wrote: Hi, I have pie charts with relatively long texts assigned to each slice of the pie. The text is drawn horizontally. Instead, I would like to have it rotated at the same angle as the slice itself (i.e. centered at the axis of the slice). In this way the text would not overlap other text of adjacent slices (or at least if the text starts far enough from the pie). The example below is a bit over-twisted but I really want to be able to read at least a portion of those ['my text4', 'my text5', 'my text6', 'my text7'] legends. Hmmm, this might be a decent feature to add to pie(). Although, I wonder if a legend would better suit your needs? Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] A pie chart with rotated text labels
Hi Ben, Benjamin Root wrote: On Monday, September 24, 2012, Martin Mokrejs wrote: Hi, I have pie charts with relatively long texts assigned to each slice of the pie. The text is drawn horizontally. Instead, I would like to have it rotated at the same angle as the slice itself (i.e. centered at the axis of the slice). In this way the text would not overlap other text of adjacent slices (or at least if the text starts far enough from the pie). The example below is a bit over-twisted but I really want to be able to read at least a portion of those ['my text4', 'my text5', 'my text6', 'my text7'] legends. Hmmm, this might be a decent feature to add to pie(). Although, I wonder if a legend would better suit your needs? The problem is that some of my pie charts have dozens of slices or very varying width. The legend would take just too much space and moreover, there is not that many colors easily distinguishable by eye so a person would have a hard time to find which item in the legend corresponds to some slice in the chart. I think this is the only way out. ;-) Martin BTW: A percentage in black color on a blue slice is hardly readable. Could pie() also change a font foreground color if the background is too dark in those few slices? Say to white? ;-)) -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Qt4/PySide memory leak
On 9/24/2012 3:32 PM, David Honcik wrote:
I've run into a large memory leak using Matplotlib with PySide and the
Qt4 back end. I'm using :
Python 3.2
Numpy 1.6.2
Pyside 1.1.1 (qt474)
Matplotlib 1.2 (first the Capetown Group port to Python 3, then 1.2 RC2)
on Windows XP 32 bit
I've tried using the Python 2.7 branch of all of the above and don't see
the problem. I don't see the problem with the Tk back end. I don't see
the problem with the Qt4 back end and PyQt4. Only with the above
mentioned versions and using the Qt4 back end with PySide.
The following script will reproduce the problem :
import matplotlib
matplotlib.use('Qt4Agg')
matplotlib.rcParams['backend.qt4']='PySide'
import pylab
arrayX = []
arrayY = []
for nIndex in range(0, 100):
arrayX.append(nIndex)
arrayY.append(nIndex)
Figure = matplotlib.pyplot.figure(1)
Axes = Figure.add_axes([ 0.05, 0.05, 0.95, 0.95])
Axes.plot(arrayX,
arrayY,
color = blue,
marker = o,
markersize = 5.0)
Axes.set_xlim(arrayX[0], arrayX[len(arrayX) - 1])
Axes.set_ylim(arrayY[0], arrayY[len(arrayY) - 1])
matplotlib.pyplot.show()
I run the above, grab the lower right sizing handle on the plot window
and start resizing the window. Watching the python process in task
manager, each resize leaks a noticeable amount of memory. A few minutes
of this will get process memory up to ~2.5 GB. At that point it crashes.
I'm new here, am I in the right place?
I can reproduce this exactly, also with pyside 1.1.2 and an empty plot.
Looks like QtGui.QImage is leaking.
import matplotlib
matplotlib.use('Qt4Agg')
matplotlib.rcParams['backend.qt4']='PySide'
from matplotlib import pyplot
pyplot.plot()
pyplot.show()
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Re: [Matplotlib-users] example of pareto chart
I took my example from the matplotlib pages itself: http://matplotlib.org/examples/api/fahrenheit_celcius_scales.html If you know a better way, please show me. P. On 9/24/12 4:40 PM, Benjamin Root wrote: On Mon, Sep 24, 2012 at 12:21 AM, Paul Tremblay paulhtremb...@gmail.com mailto:paulhtremb...@gmail.com wrote: Here is my example of a Pareto chart. For an explanation of a Pareto chart: http://en.wikipedia.org/wiki/Pareto_chart Could I get this chart added to the matplolib gallery? Thanks Paul Your code looks overly complicated. You shouldn't have to be doing the connection to the ylim_changed event, I don't think. I think your main problem is that you are calling ax1.plot instead of ax2.plot. I am not against adding more examples to the gallery, but this would have to be cleaned up before it gets included. Ben Root -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] example of pareto chart
By the way, I had done the chart differently to begin with. But this code
requires more lines, more imports, and is more complex. (Without
plt.gca().yaxis or the formatter, the graph will not come out.)
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import FuncFormatter
from matplotlib.ticker import MaxNLocator
defects = [32, 22, 15, 5, 2]
labels = ['vertical', 'horizontal', 'behind', 'left area', 'other']
the_sum = sum(defects)
the_cumsum = np.cumsum(defects)
ind = np.arange(len(defects))
width = .98
x = ind + .5 * width
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax2 = ax1.twinx()
rects = ax1.bar(ind, defects, width=width)
ax1.set_ylim(ymax=the_sum)
ax2.set_ylim(ymax=the_sum)
plt.gca().yaxis.set_major_locator( MaxNLocator(nbins = 6) )
line, = ax2.plot(x, the_cumsum)
ax1.set_xticks(ind+ .5 * width)
ax1.set_xticklabels(labels)
def to_percent(x, pos):
return round(x/the_sum, 1) * 100
formatter = FuncFormatter(to_percent)
ax2.yaxis.set_major_formatter(formatter)
ax1.set_ylabel('Defects')
ax2.set_ylabel('Percentage')
plt.show()
On Mon, Sep 24, 2012 at 8:50 PM, Paul Tremblay paulhtremb...@gmail.comwrote:
I took my example from the matplotlib pages itself:
http://matplotlib.org/examples/api/fahrenheit_celcius_scales.html
If you know a better way, please show me.
P.
On 9/24/12 4:40 PM, Benjamin Root wrote:
On Mon, Sep 24, 2012 at 12:21 AM, Paul Tremblay
paulhtremb...@gmail.comwrote:
Here is my example of a Pareto chart.
For an explanation of a Pareto chart:
http://en.wikipedia.org/wiki/Pareto_chart
Could I get this chart added to the matplolib gallery?
Thanks
Paul
Your code looks overly complicated. You shouldn't have to be doing the
connection to the ylim_changed event, I don't think. I think your main
problem is that you are calling ax1.plot instead of ax2.plot.
I am not against adding more examples to the gallery, but this would have
to be cleaned up before it gets included.
Ben Root
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