matplotlib-users Mailing List for matplotlib (Page 2)

Hello,

I'm trying to create a heat map from two lists of corresponding X and Y coordinates.

I've tried both numpy.histogram2d() and pyplot.hexbin().

The histogram I get back doesn't correspond to the points I gave it. It seems as if it's sorting each X and Y list and then eliminating some points, which would definitely not give me the coordinates I want. (Also, I want to be able to switch the origin to the upper-left corner, but I can't figure out how to do this with imshow().)

The hexbin graph does correspond to my original points,  but rather than having hexagons of equal size, some are super thin and tiny. (I'd also like to fill in the entire graph with background color (I want the axes to extend beyond the data) - is there a way to do that?) 

Here's the code I wrote for the histogram and hexbin. Am I doing something wrong? I've attached three graphs - one is my coordinates as a scatter plot, one my histogram result, and the other the hexbin result.

Thanks!
~Rachel

def plotHistogram( coordsTuple ):
    
    plt.clf()   # Clears any previous figure
    
    xList = coordsTuple[0]
    yList = coordsTuple[1]

    heatmap, xedges, yedges = npy.histogram2d(xList, yList)
    axesExtent = [0, xedges[-1], 0, yedges[-1]]
    plt.imshow(heatmap, extent = axesExtent)

    plt.title( "Heat Map of User Clicks" )

    name = raw_input("\nImage name and extension: ")
    plt.savefig(name)


def plotHexbins( coordsTuple ):
    
    plt.clf()   # Clears any previous figure
    
    xList = coordsTuple[0]
    yList = coordsTuple[1]

    plt.hexbin(xList, yList)

    plt.title( "Heat Map of User Clicks" )

    name = raw_input("\nImage name and extension: ")
    plt.savefig(name)

On 04/01/2010 08:09 PM, Gökhan Sever wrote:
> On Thu, Apr 1, 2010 at 6:04 PM, Stuart McGraw <smc...@fr...
> <mailto:smc...@fr...>> wrote:
> 
>     I live in a third world part of the US where internet
>     access is via modem so reading the matplotlib docs via
>     the internet very painful.  A full afternoon trying to
>     build the docs was unsuccessful.
> 
>     Is there anyplace where I can download pre-built HTML
>     of all the docs (not just the User Manual)?
> 
> My build-html folder is 111.8 MB totaling 4.215 files.
> 
> 7z compression makes it down to 72 MB. tar.lzma 85 MB, and tar.bz2 92MB
> 
> As far as I know having a recent version of Sphinx, you should be able
> to build the documentation yourself. What problems are you seeing?

I have python-2.6, matplotlib-0.99.1, spinx-0.6.5 installed on 
Fedora-11 via Fedora's package management system.  I unpacked the
matplotlib source in a tmp dir, cd'd to the doc/ dir, did "python
make.py html" and got a lot of warnings and errors that I do not 
recall.  Figuring it maybe needed the local src built, I cd'd to
matplotlib and did a "python setup.py build" which went ok.  
Retried the doc "python make.py html" -- this time failed 
when trying to build the examples/pylab_examples/loadrec.py 
example: could not import xlwt.  Downloaded, installed xlwt.
Still fails on same example, this time with core dump. 
(For  brevity I've left out a lot of other things I tried.)
Gave up.  :-(

> PDF version ~8MB might be the best option providing that you have
> low-speed internet
> http://matplotlib.sf.net/Matplotlib.pdf

Yes, after looking at it, I think it will do fine.  I posted 
while downloading it and didn't realize the api doc was included.
I guess what I am actually missing is only the examples.  If I
was doing something silly in my attempt to build above (was in a 
rush so read the install instructions pretty quickly) I 'll give
it another try.  Otherwise I think I can live without ther examples, 
or access them online.

Thanks for your response.

On Thu, Apr 1, 2010 at 6:04 PM, Stuart McGraw <smc...@fr...> wrote:

> I live in a third world part of the US where internet
> access is via modem so reading the matplotlib docs via
> the internet very painful.  A full afternoon trying to
> build the docs was unsuccessful.
>
> Is there anyplace where I can download pre-built HTML
> of all the docs (not just the User Manual)?
>
>
My build-html folder is 111.8 MB totaling 4.215 files.

7z compression makes it down to 72 MB. tar.lzma 85 MB, and tar.bz2 92MB

As far as I know having a recent version of Sphinx, you should be able to
build the documentation yourself. What problems are you seeing?

PDF version ~8MB might be the best option providing that you have low-speed
internet
http://matplotlib.sf.net/Matplotlib.pdf


-- 
Gökhan

On Thu, Apr 1, 2010 at 7:57 PM, C M <cmp...@gm...> wrote:

> On Thu, Apr 1, 2010 at 7:17 PM, Eric Firing <ef...@ha...> wrote:
> > Andrew Kelly wrote:
> >> Has anyone had any success in speeding up the mpl imports?
> >>
> >> "import matplotlib.pyplot as plt"
> >> ( or "from matplotlib.figure import Figure")
> >>
> >> takes 6 full seconds to load.  That seems excessive.  Any ideas?
> >>
> >> -Andy
> >
> > Andy,
> >
> > A couple replies came back directly to me (probably intended for the
> > list, though), and both reported results similar to yours, on Windows
> > machines only.  What OS and version are you running?
>
> Sorry Eric, that was indeed intended for the list.  Just for the
> list's sake, I'll repeat it:
>
> It takes longer than any other Python module for me, too, about 5-6
> seconds on a "cold" load (on Windows), though faster on a "warm" load.
>  I am running it locally on a laptop that is 1.7 GHz Intel Pentium
> laptop with 1Meg RAM.
>
> And I should add:  I don't currently have Linux installed, but will
> soon again I hope, and I will take note of how long it takes on Linux.
>
> Thanks,
> Che
>

This is Intel Core 2 Duo 2.5Ghz with 4GB Ram.

================================================================================
Platform     :
Linux-2.6.31.9-174.fc12.i686.PAE-i686-with-fedora-12-Constantine
Python       : ('CPython', 'tags/r262', '71600')
IPython      : 0.10
Matplotlib   : 1.0.svn.rev8214
================================================================================

I[2]: %time import matplotlib.pyplot as plt
CPU times: user 0.35 s, sys: 0.09 s, total: 0.43 s
Wall time: 1.18 s

My test-bed is IPython -pylab and the first load always takes longer.
Probably it's caching at the first time to speed-up later imports.

-- 
Gökhan

On Thu, Apr 1, 2010 at 7:17 PM, Eric Firing <ef...@ha...> wrote:
> Andrew Kelly wrote:
>> Has anyone had any success in speeding up the mpl imports?
>>
>> "import matplotlib.pyplot as plt"
>> ( or "from matplotlib.figure import Figure")
>>
>> takes 6 full seconds to load.  That seems excessive.  Any ideas?
>>
>> -Andy
>
> Andy,
>
> A couple replies came back directly to me (probably intended for the
> list, though), and both reported results similar to yours, on Windows
> machines only.  What OS and version are you running?

Sorry Eric, that was indeed intended for the list.  Just for the
list's sake, I'll repeat it:

It takes longer than any other Python module for me, too, about 5-6
seconds on a "cold" load (on Windows), though faster on a "warm" load.
 I am running it locally on a laptop that is 1.7 GHz Intel Pentium
laptop with 1Meg RAM.

And I should add:  I don't currently have Linux installed, but will
soon again I hope, and I will take note of how long it takes on Linux.

Thanks,
Che

I live in a third world part of the US where internet
access is via modem so reading the matplotlib docs via 
the internet very painful.  A full afternoon trying to
build the docs was unsuccessful.

Is there anyplace where I can download pre-built HTML
of all the docs (not just the User Manual)?