[matplotlib-devel] Contributed example
Hi,
I've been playing with matplotlib to check if it can produce graphics like:
http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png
Here is the result:
http://www.loria.fr/~rougier/tmp/benchmark.png
and the script (as attachment)
I do not know if it's worth adding it to examples ?
Nicolas
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# -
# Copyright (C) 2011 Nicolas P. Rougier
#
# All rights reserved.
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# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
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# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
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#
# * Neither the name of the glumpy Development Team nor the names of its
# contributors may be used to endorse or promote products derived from this
# software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#
# -
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as patches
# --
# Data to be represented
products = ['Vendor A - Product A', 'Vendor A - Product B', 'Vendor A - Product C',
'Vendor B - Product A', 'Vendor B - Product B', 'Vendor B - Product C',
'Vendor C - Product A', 'Vendor C - Product B', 'Vendor C - Product C']
values = np.random.uniform(10,60,len(products))
# --
# Choose some nice colors
matplotlib.rc('axes', facecolor = '#6E838A')
matplotlib.rc('axes', edgecolor = '#737373')
matplotlib.rc('axes', linewidth = 1)
matplotlib.rc('ytick', direction='out')
matplotlib.rc('xtick', direction='out')
matplotlib.rc('figure.subplot', left=0.25)
# Make figure background the same colors as axes
fig = plt.figure(figsize=(12,8), facecolor='#6E838A')
# Remove left and top axes spines
axes = plt.subplot(1,1,1)
axes.spines['right'].set_color('none')
axes.spines['top'].set_color('none')
axes.xaxis.set_ticks_position('bottom')
axes.yaxis.set_ticks_position('left')
# Adjust yticks to the number of products
plt.yticks(np.arange(len(products)+1), [])
# Set tick labels color to white
for label in axes.get_xticklabels()+axes.get_yticklabels():
label.set_color('white')
# Set tick labels line width to 1
for line in axes.get_xticklines() + axes.get_yticklines():
line.set_linewidth(1)
# Set axes limits
ymin, ymax = 0, len(products)
xmin, xmax = 0, 60
plt.xlim(xmin,xmax)
plt.ylim(ymin,ymax)
# Start with blue colormap
cmap = plt.cm.Blues
for i, label in enumerate(products):
# Alternate band of light background
if not i%2:
#X = [[(1,1,1,.5)]]
#axes.imshow(X, extent=(0,xmax, i,i+1))
p = patches.Rectangle(
(0, i), xmax, 1, fill=True, transform=axes.transData,
lw=0, facecolor='w', alpha=.1)
axes.add_patch(p)
# Product name left to the axes
plt.text(-.5, i+0.5, label, color="white",
horizontalalignment='right', verticalalignment='center')
# Plot the bar with gradient (1 to .65)
value = values[i]
X = np.array([1,.65]).reshape((1,2))
axes.imshow(X,extent=(0,value,i+.25,i+.75),cmap=cmap, vmin=0, vmax=1)
plt.text(value-0.5, i+0.5, '%.1f' % value, color="white",
horizontalalignment='right', verticalalignment='center')
# Change colormap every 3 values
if i >= 2: cmap = plt.cm.Greens
if i >= 5: cmap = plt.cm.Reds
# Set a nice figure aspect
axes.set_aspect(4.5)
# Write some title & subtitle
plt.text(1, 10.0, "Vendor benchmarks", color="1.0", fontsize=16)
plt.text(1, 9.7, "(higher is better)", color="0.75", fontsize=12)
# Done
plt.savefig('benchmark.png', facecolor='#6E838A')
plt.show()
--
All of the data generated in your IT infrastructure is serious
Re: [matplotlib-devel] Fix for issue #135
On Friday, July 8, 2011, Maximilian Trescher wrote: > Hi, > >> I would avoid drange because >> I believe numpy will soon be implementing such a function and I >> wouldn't want the possible confusion that comes from that. > > what do you mean with "avoiding drange"? You wouldn't use it in your > code? Or do you suggest, matplotlib should not have the function "drange"? > I mean that matplotlib probably shouldn't have drange (although, this is just IMHO). > I have yet another question: Does someone know, why matplotlib.dates > calculates dates in floats, where 1 = 1day? > I think with Long integers without floating point much of the > rounding-issues could be avoided. We are most certainly "doing it wrong" as the current code was merely a hack due to the lack of such features in numpy. The next numpy release should have this, but we will still need the current hacks for a little while longer due to support for previous versions of numpy. Maybe we ought to look into some sort of logic that would utilize numpy's drange if it is available and fall back to ours otherwise? Ben Root -- All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2d-c2 ___ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
Re: [matplotlib-devel] Contributed example
I think this illustration deserves its places amongst the mpl gallery --probably somewhere towards the very beginning. Thanks for the well documented code Nicolas. On Fri, Jul 8, 2011 at 2:09 AM, Nicolas Rougier wrote: > > > Hi, > > > I've been playing with matplotlib to check if it can produce graphics like: > > > http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png > > > Here is the result: > http://www.loria.fr/~rougier/tmp/benchmark.png > > and the script (as attachment) > > I do not know if it's worth adding it to examples ? > > > > Nicolas > > > > > -- > All of the data generated in your IT infrastructure is seriously valuable. > Why? It contains a definitive record of application performance, security > threats, fraudulent activity, and more. Splunk takes this data and makes > sense of it. IT sense. And common sense. > http://p.sf.net/sfu/splunk-d2d-c2 > ___ > Matplotlib-devel mailing list > Matplotlib-devel@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > > -- Gökhan -- All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2d-c2___ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
Re: [matplotlib-devel] [Matplotlib-users] broken demo
On Sun, Jun 26, 2011 at 9:05 PM, Benjamin Root wrote: > On Sunday, June 26, 2011, Warren Weckesser > wrote: > > > > > > On Sun, Jun 26, 2011 at 7:44 PM, Benjamin Root wrote: > > > > > > On Sunday, June 26, 2011, Carl Karsten 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? > > > > > > That error is what shows up on the web page when you follow the link. > > > > Warren > > > > > > Ah, indeed it is. I apologize for misunderstanding, what is odd is > that the demo didn't work, but the mpl logo rendered fine. > > Who was it that uploaded the recent rebuild of the docs? > > Ben Root > I just had an epiphany and figured out what is causing this. It looks like that any example that uses the "if __name__ == '__main__' :" idiom is failing to produce an image. Some others that have the same issue are: http://matplotlib.sourceforge.net/examples/api/sankey_demo.html http://matplotlib.sourceforge.net/examples/api/hinton_demo.html http://matplotlib.sourceforge.net/examples/api/logo2.html (it has a link, but no image on the page) http://matplotlib.sourceforge.net/examples/misc/multiprocess.html http://matplotlib.sourceforge.net/examples/pylab_examples/arrow_demo.html and many others (can be found by grepping for "__main__" in the examples folder). On a local build of the docs from master, axes_grid has two demos that also fail to produce images for the docs. They look to be new demos. I wonder if this is being caused (or at least the errors hidden by) the new multiprocessing approach for the doc-build. Anybody have any thoughts on how to deal with this? I consider this a release-stopper. Ben Root -- All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2d-c2___ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
Re: [matplotlib-devel] Contributed example
I agree, very instructional example. As for the width of the tick lines, line 78 line.set_linewidth(1) should probably read line.set_markeredgewidth(1) though. Chris > Date: Fri, 8 Jul 2011 16:18:52 -0600 > From: G?khan Sever > Subject: Re: [matplotlib-devel] Contributed example > To: Nicolas Rougier > Cc: matplotlib development list > > Message-ID: > > Content-Type: text/plain; charset="utf-8" > > I think this illustration deserves its places amongst the mpl gallery > --probably somewhere towards the very beginning. > > Thanks for the well documented code Nicolas. > On Fri, Jul 8, 2011 at 2:09 AM, Nicolas Rougier > wrote: > >> >> >> Hi, >> >> >> I've been playing with matplotlib to check if it can produce graphics like: >> >> >> http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png >> >> >> Here is the result: >> http://www.loria.fr/~rougier/tmp/benchmark.png >> >> and the script (as attachment) >> >> I do not know if it's worth adding it to examples ? >> >> >> >> Nicolas >> >> >> >> >> -- >> All of the data generated in your IT infrastructure is seriously valuable. >> Why? It contains a definitive record of application performance, security >> threats, fraudulent activity, and more. Splunk takes this data and makes >> sense of it. IT sense. And common sense. >> http://p.sf.net/sfu/splunk-d2d-c2 >> ___ >> Matplotlib-devel mailing list >> Matplotlib-devel@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel >> >> > > > -- > G?khan > -- next part -- > An HTML attachment was scrubbed... > > -- > > -- > All of the data generated in your IT infrastructure is seriously valuable. > Why? It contains a definitive record of application performance, security > threats, fraudulent activity, and more. Splunk takes this data and makes > sense of it. IT sense. And common sense. > http://p.sf.net/sfu/splunk-d2d-c2 > > -- > > ___ > Matplotlib-devel mailing list > Matplotlib-devel@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-devel > > > End of Matplotlib-devel Digest, Vol 62, Issue 3 > *** -- All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2d-c2 ___ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
