Re: [Matplotlib-users] Python 2.6 installer for Windows?
Adam Mercer wrote: On Sun, Feb 22, 2009 at 16:59, Wai Yip Tung tungwai...@yahoo.com wrote: I find that Matplotlib only have Python 2.5 build for Windows. Is there any plan to release a 2.6 build soon? I am trying to build it from source but I run into numerous problem. I am still struggling to find all dependent packages. It will help a lot if the 2.6 installer is available. AFAIK matplolib doesn't support python-2.6 yet, as NumPy doesn't. NumPy is expected to get python-2.6 support in the 1.3 release, so I imagine matplotlib will support python-2.6 in a release following the NumPy-1.3 release. Cheers Adam NumPy 1.3 has been released, with pre-built win32 binaries for Python 2.6 (http://sourceforge.net/project/showfiles.php?group_id=1369package_id=175103). Does this affect the plans to build matplotlib for py2.6 on win32 as well? Is there a roadmap? Thanks in advance -- View this message in context: http://www.nabble.com/Python-2.6-installer-for-Windows--tp22152905p22634218.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] unexpected exception
Vito De Tullio wrote: Hi! I'm a newbie of matplotlib, and I'm trying to plot a set of data... but I got blocked... $ cat matplotliberr.py #!/usr/bin/env python # dummy data to plot from datetime import date, timedelta from random import randint x = [ date.today() + timedelta(i) for i in range(10) ] y = [ randint(0, i) for i in range(10) ] from matplotlib import pyplot pyplot.fill(x, y) # no problem using pyplot.plot(x, y) Try fill_between instead of fill. Fill does not support units (arguments that are not simple number sequences), but fill_between does; in addition, I think fill_between is what you really want here. Eric pyplot.show() $ ./matplotliberr.py /usr/lib/python2.6/site-packages/pytz/tzinfo.py:5: DeprecationWarning: the sets module is deprecated from sets import Set Traceback (most recent call last): File ./matplotliberr.py, line 10, in module pyplot.fill(x, y) File /usr/lib/python2.6/site-packages/matplotlib/pyplot.py, line 1876, in fill ret = gca().fill(*args, **kwargs) File /usr/lib/python2.6/site-packages/matplotlib/axes.py, line 5558, in fill for poly in self._get_patches_for_fill(*args, **kwargs): File /usr/lib/python2.6/site-packages/matplotlib/axes.py, line 394, in _grab_next_args for seg in self._plot_2_args(remaining, **kwargs): File /usr/lib/python2.6/site-packages/matplotlib/axes.py, line 331, in _plot_2_args func(x, y) File /usr/lib/python2.6/site-packages/matplotlib/axes.py, line 314, in makefill (x[:,np.newaxis],y[:,np.newaxis])), TypeError: list indices must be integers, not tuple $ rpm -q python-matplotlib python-matplotlib-0.98.5.2-1.3 -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Just a note of appreciation...
for one instance of the depth of thought that has gone into Matplotlib http://assorted-experience.blogspot.com/2009/03/why-i-love-matplotlib-python.html -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] error in hexbin normalization
Mike Bauer wrote: Eric, Here's an example of a working hexbin (attached). What I want to do is compare this with another dataset with many fewer points. What I'd really like is for the color bar to reflect the cumulative percent of the total count each cell holds, but I'd settle for what I thought normalized gives which is scaling the colors from 0 - 1 instead of showing the number count. I don't care about comparing numbers I care about the relative frequency of each cell. I don't have a solution for you, but it looks to me like you can do the sort of thing you are looking for via suitable choice of the C and reduce_C_function kwargs to hexbin. This is not a job for the norm kwarg. Actually, here is a stab at what I think you are describing: x = np.random.normal(size=(1,)) y = np.random.normal(size=(1,)) imask = (x -1) (x 1) (y -1) (y 1) x = x[imask] y = y[imask] c = np.ones_like(x) * 100 / len(x) hexbin(x, y, C=c, reduce_C_function=np.sum, gridsize=20) colorbar() I think this is giving percentage of hits in each bin. The numbers are very small because there are many bins. Eric Thanks for the pointer to colors.LogNorm(). I'll look into that. Mike Here's my script (sorry, you'll see it's a temporary hack). On Mar 20, 2009, at 7:10 PM, Eric Firing wrote: Mike Bauer wrote: Eric, Thanks for the reply. I'm trying to show the relative 2d distribuion between 2 sets of data. I thought the normalization would ease the comparison. Fixing the ' doesn't help. So are you saying I need an instance of something.normalize rather than just passing norm='normalize'? It sounds like you are misunderstanding the norm kwarg; it is for controlling the mapping of an arbitrary range of numbers to the 0-1 range that is used in color mapping. The default is a linear mapping; one can use a log mapping instead (norm=colors.LogNorm()), or make your own mapping function, etc. The norm kwarg takes an instance of a Normalize class or subclass. See colors.py to find out what Normalize subclasses are available. But, you may not need to specify one at all, depending on what it is you are trying to do. I still don't understand what it is that you wanted to normalize. What was the undesirable characteristic of the plot you had before you put in the norm kwarg? Eric Mike Sent from my iPhone On Mar 20, 2009, at 5:15 PM, Eric Firing efir...@hawaii.edu wrote: Mike Bauer wrote: Hello, Quick note. I'm making plots with hexbin and everything works correctly until I try to use the norm='Normalize' option at which point I get: Traceback (most recent call last): File diff_engine_v2tmp.py, line 731, in module kept_and_discards) File diff_engine_v2tmp.py, line 605, in main plt.hexbin(xdat,ydat,cmap=cm.jet,gridsize=25,norm=Normalize' ) What is that single quote mark doing after Normalize? If we ignore it, then it looks like you are passing a class, not a class instance as the kwarg needs. File /opt/local/Library/Frameworks/Python.framework/Versions/2.5/ lib/python2.5/site-packages/matplotlib/pyplot.py, line 1920, in hexbin ret = gca().hexbin(*args, **kwargs) File /opt/local/Library/Frameworks/Python.framework/Versions/2.5/ lib/python2.5/site-packages/matplotlib/axes.py, line 5452, in hexbin collection.autoscale_None() File /opt/local/Library/Frameworks/Python.framework/Versions/2.5/ lib/python2.5/site-packages/matplotlib/cm.py, line 148, in autoscale_None self.norm.autoscale_None(self._A) AttributeError: 'int' object has no attribute 'autoscale_None' This part of the traceback is also a little puzzling; I'm not sure why self.norm is an int at this point. I assume this a bug of some sort. No, I think the problem is that you are passing a class instead of an instance of a class as the norm kwarg to hexbin. (It is not completely clear to me from the traceback, however--there is that strange single quote mark.) What kind of normalization are you trying to to? In other words, what are you trying to accomplish by specifying the norm kwarg? Eric Thanks for any ideas. Mike Using: os-x 10.5.6 python 2.5.4 from macports matplotlib 0.98.5.2 from macports -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] On changing the default tick pad
Whilst agreeing with Kaushik's sentiments on the greatness of matplotlib, I thought his example plot nicely illustrates a layout wart that I think is easily fixed by changing the default xtick.major.pad, xtick.minor.pad, ytick.major.pad and ytick.minor.pad values from 4 to 6. As well as preventing the x- and y-axis labels running into each other in Kaushik's example, the most common case of a 2D plot with 0 lower bound on both the x- and y-axes [e.g. plot(rand(10))] looks better with the default font when pad=6. Just to bolster my case, according to the gestalt theory Law of Proximity http://en.wikipedia.org/wiki/Gestalt_psychology, the labels, which are currently closer to each other at the axis intersection than to the axes themselves become separated enough from one another so that they become visually associated with the axes in this region. As an aside, I went looking for Matlab plotting examples and some appear to match the pad=4 padding whereas others are more like pad=6. Of course I shall change this in my matplotlibrc file. I just thought I'd see if I could provoke a revolution, Gary R. -- Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
