Re: [Matplotlib-users] Reducing png file size
Jesper Larsen writes: > Unfortunately the files are quite big (up to ~300 kb). I have however > tried using the Linux tool pngnq to reduce the file size with a factor > ~3-4 with almost no degradation of the result. > Pixel depth (Pixel Depth): 32 > Colour Type (Photometric Interpretation): RGB with alpha channel > Pixel depth (Pixel Depth): 8 > Colour Type (Photometric Interpretation): PALETTED COLOUR (256 > colours, 0 transparent) This means pngnq has quantized the original RGBA image with 8 bits per channel to an image with a 256-color palette. I don't think Agg has any support for rendering directly to a paletted image, so to achieve similar results, you would have to do the quantization in a separate pass anyway. > I am not using transparency for anything. For a web application a > reduction from 300 kb to 90 kb is really important so I hope you have > some good ideas. A web application needs to be fast, right? According to its home page, pngnq "is limited mostly to off-line uses rather than real time image delivery". You could take a look at PIL to see if it has any fast quantization algorithms, and pass your result to it as in the to_numeric.py example (see also webapp_demo.py for how to avoid using the pylab machinery for figure management). If not, you could always implement some fast quantization algorithm in numpy: http://en.wikipedia.org/wiki/Color_quantization My guess is that if you always produce similar-looking images, you could fix the palette off-line using whatever fancy algorithm you like, and then the actual conversion could be done pretty fast, especially if you can forgo dithering - perhaps for many types of charts it is not necessary. -- Jouni K. Seppänen http://www.iki.fi/jks -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] subplot
On Sun, May 17, 2009 at 5:03 PM, Alan G Isaac wrote: > So I am suggesting that any new functions > certainly should not propagate this anomaly. Understood. And, yes, I guess you're quite right in this regard. And I'll try to deprecate the current matlab-like interface in future (at least in my axes_grid toolkit). Thanks, -JJ -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Question about imshow
>
> I think the point here is that
>
> img = Image('foo.png')
> imshow(img)
>
> and
>
> img = Image('foo.png')
> imshow(asarray(img))
>
> give different results, since matplotlib.image.pil_to_array functions
> differently from what PIL exposes in __array_interface__
>
> --
> Pauli Virtanen
>
>
I see. Thanks for clarifying this. And yes, I think this should be fixed.
Hmm, it seems that somehow pil_to_array tries to make the image
upside-down by itself.
x_str = im.tostring('raw',im.mode,0,-1)
However. I'm afraid that changing this behavior may not be ideal for
backward-compatibility.
I think one possible solution would be to simply deprecate the support
for PIL image in imshow, and let users explicitly use array-interface
via asarray function.
Is there any other idea?
I'll make this change unless someone come up with something.
-JJ
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Re: [Matplotlib-users] subplot
Hi all, I had a few off-list conversation with Alan, and I'm also quite agree with him for this issue. Just to rephrase, I think the current subplot interface has (at least) two issues. issue 1) the indexing convention is not that of python. The index starts from 1, instead of 0. (eg "111") issue 2) It is not easy (actually impossible) to make an axes spanning multiple cells. While I think we need to keep the current interface at least for a while, it would be better if we come up with some pythonic interface that may eventually replace the current matlab-centric one. So, how other developers and users think about this? And here are a few options that has been suggested. Option 1) use of "origin" keyword. ex) subplot(2, 2, 0, origin=0) Ryan is -1 for this and so am I. It also does not address the issue 2. Option 2) Introduce a new command ex1) ax = fig.subplot2grid(shape=(3,3), loc=(0,0), rowspan=2, colspan=2) Instead of simple subplot(111), we may do something like ex2) ax = fig.subplot2grid((1,1), 0) Option 3) introduce a new class for grid specification and modify subplot to accept this. One idea I have is to use an array-like interface. ex1) ax = fig.subplot(grid_spec(3,3)[0:2,0:2]) For subplot(111) equivalent, ex2) ax = fig.subplot(grid_spec(1,1)[0]) I, personally, want to reuse the convention in my axes_grid toolkit, where it would be better if this grid specification(?) can be expressed as a single argument. And I'm +1 for option 3 for this reason. However, I'm afraid that option 3 is not expressive enough. Of course, we should explore other solutions and any suggestions will be welcomed. So, how others think? Regards, -JJ On Fri, May 15, 2009 at 1:41 PM, Alan G Isaac wrote: > I love Matplotlib. > > That said, I find the indexing subplots to be an annoyance, > because it uses MATLAB conventions rather than Python > conventions for indexing. I think moving this convention > into the OO API was a mistake. > > Since Matplotlib is not yet 1.0, > I am suggesting that this be "fixed". > I understand this will cause some pain. > > If it cannot be fixed due to code breakage, > how about an "origin" keyword, that can be 0 or 1? > > Cheers, > Alan Isaac > > > -- > Crystal Reports - New Free Runtime and 30 Day Trial > Check out the new simplified licensing option that enables > unlimited royalty-free distribution of the report engine > for externally facing server and web deployment. > http://p.sf.net/sfu/businessobjects > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Reducing png file size
Hi mpl-users, I have a web application in which I produce png files using matplotlib. Unfortunately the files are quite big (up to ~300 kb). I have however tried using the Linux tool pngnq to reduce the file size with a factor ~3-4 with almost no degradation of the result. I therefore wondered whether it is possible to setup matplotlib to do something similar (from the source code the savefig method for png files does not seem to use any keyword arguments). Here is the output of the command pnginfo for the matplotlib output file and the pngnq processed file: 0.0.0.0.0.0.20090517t00z.768.png... Image Width: 768 Image Length: 328 Bitdepth (Bits/Sample): 8 Channels (Samples/Pixel): 4 Pixel depth (Pixel Depth): 32 Colour Type (Photometric Interpretation): RGB with alpha channel Image filter: Single row per byte filter Interlacing: No interlacing Compression Scheme: Deflate method 8, 32k window Resolution: 5039, 5039 (pixels per meter) FillOrder: msb-to-lsb Byte Order: Network (Big Endian) Number of text strings: 0 of 0 Offsets: 0, 0 0.0.0.0.0.0.20090517t00z.768-nq8.png... Image Width: 768 Image Length: 328 Bitdepth (Bits/Sample): 8 Channels (Samples/Pixel): 1 Pixel depth (Pixel Depth): 8 Colour Type (Photometric Interpretation): PALETTED COLOUR (256 colours, 0 transparent) Image filter: Single row per byte filter Interlacing: No interlacing Compression Scheme: Deflate method 8, 32k window Resolution: 0, 0 (unit unknown) FillOrder: msb-to-lsb Byte Order: Network (Big Endian) Number of text strings: 0 of 0 Offsets: 0, 0 I am not using transparency for anything. For a web application a reduction from 300 kb to 90 kb is really important so I hope you have some good ideas. Otherwise I guess I will have to put in a call to pngnq in my code (although I prefer to avoid calls to external programs in the Python code when possible). Best regards, Jesper -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] subplot
On 5/17/2009 2:44 PM Jae-Joon Lee apparently wrote: > I meant consistency with Matplotlib itself. My point is that that is not well defined, since most of the OO API in Matplotlib is Python centric, but the subplot definition is an exception. So I am suggesting that any new functions certainly should not propagate this anomaly. > I agree and I'm personally for python-centric interface throughout > matplotlib. > I think what we need is to devise a new python-centric interface > (e.g., subplot2grid you suggested) and may try to deprecate subplot > eventually. So, looking forward, keeping that anomaly isolated will be important, so that changes do not need to be made in additional locations. (Or so I claim...) Cheers, Alan Isaac -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] A request for code critique
Hmm, Is it working on your side from a bash shell as "ipython --pylab script argument" I couldn't make it work in this fashion. As I said whos list nothing :( I am on Fedora 10 x86, Python 2.5.2, IPython 0.10.bzr.r1173 Without the pylab switch I see the interactive space with variables. I also have plot imported from my script, however each time I have to call show() to see the figure to be re-drawn. To me, it seems one need to compromise: either to start ipython --pylab first and call scripts using "run" magic command or like you suggested start ipython with the script loaded and call show() after each plot command. Please comment me if I am wrong... Gökhan On Sun, May 17, 2009 at 3:19 PM, Roy Hyunjin Han < starsareblueandfara...@gmail.com> wrote: > On Sun, May 17, 2009 at 2:17 PM, Gökhan SEVER > wrote: > > Hello Roy, > > > > "ipython splot.py 09_03_23_11_44_54.stats.tas" > > > > works, but I can't make it work with pylab switch. It executes my script, > > however whos list an empty namespace :( > > Gökhan, > > The "whos" command works for me. > > Also, why can't you use "import pylab" and make your plots directly in > ipython? > You can also use "from pylab import *" if you don't want to type pylab > every time. > > In [1]: whos > Variable TypeData/Info > > argv list['splot.py', > '09_03_23_11_44_54.stats.tas'] > argv_arr ndarray 12x13: 156 elems, type > `float64`, 1248 bytes > axes function > axis function > boxplotfunction > d09_03_23_11_44_54_stats_tas ndarray 12x13: 156 elems, type > `float64`, 1248 bytes > data_len int 12 > draw function > f file '09_03_23_11<...>', mode 'r' at 0x88ef260> > i int 11 > loadtxtfunction > mouse_hover_formatxfunction mouse_hover_formatx at 0x88e84fc> > mouse_hover_formatyfunction mouse_hover_formaty at 0x88e84c4> > plot function > savefigfunction > show function > skiprows int 30 > -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] A request for code critique
On Sun, May 17, 2009 at 2:17 PM, Gökhan SEVER wrote: > Hello Roy, > > "ipython splot.py 09_03_23_11_44_54.stats.tas" > > works, but I can't make it work with pylab switch. It executes my script, > however whos list an empty namespace :( Gökhan, The "whos" command works for me. Also, why can't you use "import pylab" and make your plots directly in ipython? You can also use "from pylab import *" if you don't want to type pylab every time. In [1]: whos Variable TypeData/Info argv list['splot.py', '09_03_23_11_44_54.stats.tas'] argv_arr ndarray 12x13: 156 elems, type `float64`, 1248 bytes axes function axis function boxplotfunction d09_03_23_11_44_54_stats_tas ndarray 12x13: 156 elems, type `float64`, 1248 bytes data_len int 12 draw function f file', mode 'r' at 0x88ef260> i int 11 loadtxtfunction mouse_hover_formatxfunction mouse_hover_formatyfunction plot function savefigfunction show function skiprows int 30 -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] subplot
> Oops, sorry about that. Looks like I have it fixed now. > > JDH > Yes, it looks fine now. Thanks! -JJ -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] polar plot: problem with negative angles
> Magnus Benjes wrote: >> Hello, >> in version 0.98.5.2 the polar plot still has a problem with negativ >> angles. >> The polarplot is drawing a circle when the angle changes from negativ to >> positiv (e.g. from -0.01 to +0.01). > > Your example works fine with svn. I don't recall whether the problem was > fixed before the last release. I think it was. > Thank you for the hint, in version 0.98.6 the polar plot has no problems with negativ angles any more. But now there are only gridlines in radial direction and the gridlines in angular direction are missing. Magnus -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] A request for code critique
Hello Roy,
"ipython splot.py 09_03_23_11_44_54.stats.tas"
works, but I can't make it work with pylab switch. It executes my script,
however whos list an empty namespace :(
My aim of loading the variables and results into an interactive pylab
enabled workspace is to be able to continue working on the same data and if
necessary make some manipulations like adding titles, labels, legends,
changing scales depends on a person's need.
According to IPython documentation it is also possible to make IPython as
the default python environment. (
http://ipython.scipy.org/doc/nightly/html/interactive/reference.html#ipython-as-your-default-python-environment)
And again no way of starting with pylab ("there is no way to pass IPython
any command-line options")
Any other ideas?
Btw, I haven't seen a blue star lately :)
Gökhan
On Sun, May 17, 2009 at 7:07 AM, Roy Hyunjin Han <
starsareblueandfara...@gmail.com> wrote:
> On Sat, May 16, 2009 at 4:34 PM, Gökhan SEVER
> wrote:
> >>> However I still couldn't figure out how to drop in ipython from the
> bash shell call
> >>> while all my variable context visible in the ipython namespace.
>
>
> Gökhan,
>
> Have you tried the following?
>
> RHH
>
>
> $ ipython splot.py 09_03_23_11_44_54.stats.tas
> Python 2.5.2 (r252:60911, Sep 30 2008, 15:41:38)
> Type "copyright", "credits" or "license" for more information.
>
> IPython 0.8.4 -- An enhanced Interactive Python.
> ? -> Introduction and overview of IPython's features.
> %quickref -> Quick reference.
> help -> Python's own help system.
> object? -> Details about 'object'. ?object also works, ?? prints more.
>
> In [1]: skiprows
> Out[1]: 30
>
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Re: [Matplotlib-users] polar plot: problem with negative angles
Magnus Benjes wrote: > Hello, > in version 0.98.5.2 the polar plot still has a problem with negativ angles. > The polarplot is drawing a circle when the angle changes from negativ to > positiv (e.g. from -0.01 to +0.01). Your example works fine with svn. I don't recall whether the problem was fixed before the last release. I think it was. > > But in "What new in 0.98.4" > (http://matplotlib.sourceforge.net/users/whats_new.html) I can read: > "Fix polar interpolation to handle negative values of theta - MGD" I think that commit actually introduced the problem. > > Is there a workaround for this problem? A release appears to be imminent--it was tagged hours ago. Can you update when it appears? Eric > > Regards > Magnus > > > import numpy as np > import matplotlib > import matplotlib.pyplot as plt > > x = np.linspace(-np.pi/3, np.pi/3, 100) > y = np.sin((10*x)**2)+2 > > plt.subplot(111, polar=True) > plt.plot(x,y) > plt.title(matplotlib.__version__) > plt.show() > > > > > > > -- > Crystal Reports - New Free Runtime and 30 Day Trial > Check out the new simplified licensing option that enables > unlimited royalty-free distribution of the report engine > for externally facing server and web deployment. > http://p.sf.net/sfu/businessobjects > > > > > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Colormap using (UV)coordinates from file
On 5/17/2009 11:11 AM Linda_swe apparently wrote:
> ("total size of new array must be unchanged")
Again, this means what it says.
Your data array is the wrong size.
You cannot for example reshape a (3,) array into a (2,2) array.
http://www.scipy.org/Numpy_Example_List_With_Doc#head-11717acafb821da646a8db6997e59b820ac8761a
You can contour any 2d array.
You can optionally supply 1d coordinates.
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.contourf
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> plt.contour(np.add.outer(np.arange(20),np.arange(20)))
>>> plt.show()
Alan Isaac
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Re: [Matplotlib-users] Colormap using (UV)coordinates from file
Hi Alan,
Thanks and it works for y and x but i guess i dont know how to shapet Z
("total size of new array must be unchanged")
Overall i just dont get it how to calcuate the nlons and nlats fro Z.
yre = np.reshape(lats,nlats)
xre = np.reshape(lons,nlons)
print yre
print xre
zre = np.reshape(values,(nlats,nlons)).transpose()
CT = plt.contourf(xre, yre, zre,58,cmap=plt.cm.jet)
cbar = plt.colorbar()
plt.show()
AlanIsaac wrote:
>
> On 5/17/2009 10:21 AM Linda_swe apparently wrote:
>> atlest give me a hint...
>
> The hint:
>
>> error:list object has no attribute reshape
>
> Listen to Python: all the info is there.
> A list is not a numpy array.
> Don't treat it like one.
>
> However you can do:
> numpy.reshape(mylist, myshape)
>
> Alan Isaac
>
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>
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Re: [Matplotlib-users] Colormap using (UV)coordinates from file
On 5/17/2009 10:21 AM Linda_swe apparently wrote: > atlest give me a hint... The hint: > error:list object has no attribute reshape Listen to Python: all the info is there. A list is not a numpy array. Don't treat it like one. However you can do: numpy.reshape(mylist, myshape) Alan Isaac -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Colormap using (UV)coordinates from file
Why dont anyone answer me???
atlest give me a hint...
Ok, so i want to use the my csv as input and then plot the contour. I have
the follwing code but gives
error:list object has no attribute reshape
is using list diffrent than using numpys loadtext and then into variables
???
from matplotlib.mlab import load
import matplotlib.pyplot as plt
import numpy as np
import csv
portfolio = csv.reader(open("file.csv", "rb"))
portfolio_list = []
portfolio_list.extend(portfolio)
lats = []
lons = []
values=[]
for data in portfolio_list:
lats.append(data[0])
lons.append(data[1])
values.append(data[2])
print lats
print lons
nlats = len(lats)
nlons = len(lons)
yre = lats.reshape(nlats,nlons)
xre = lons.reshape(nlats,nlons)
zre = values.reshape(nlats,nlons)
later in the defined map
CT = plt.contourf(xre, yre, zre, cmap=color_map)
cbar = plt.colorbar()
plt.show()
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Re: [Matplotlib-users] subplot
On Sat, May 16, 2009 at 10:58 PM, Jae-Joon Lee wrote: >> http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#rgb-axes > > Thanks a lot, John. > However, example figures are missing currently. (instead it shows a > message "Exception occurred rendering plot."). > Also, API documentations are not correctly generated also. My quick > guess is that the axes_grid module was not found during the sphinx > run. Can you take a look? The documentation builds fine for me. Oops, sorry about that. Looks like I have it fixed now. JDH -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Question about imshow
Sun, 17 May 2009 00:15:48 -0400, Jae-Joon Lee wrote:
> On Sat, May 16, 2009 at 6:58 PM,
> wrote:
>>
>> Hi,
>> I want to read images and do some processing with them. While learning
>> how to do this, i.e. opening images, displaying them, transforming them
>> tu numpy arrays, etc., I came across a strange behaviour. If I open an
>> image and use imshow() to display it, it comes upside down. See this
>> thread in the numpy mailing list for more details:
>> http://thread.gmane.org/gmane.comp.python.numeric.general/30148 .
>> Someone on that list suggested to check here if this behavior was
>> correct. Is it normal that the image appears upside down? If yes, can
>> someone explain what's going on?
>
> Note that the image may be upside down for you but may be correct for
> others. The array itself does not know about the orientation of the
> image and you have to explicitly specify this.
I think the point here is that
img = Image('foo.png')
imshow(img)
and
img = Image('foo.png')
imshow(asarray(img))
give different results, since matplotlib.image.pil_to_array functions
differently from what PIL exposes in __array_interface__
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Re: [Matplotlib-users] A request for code critique
João, Thank you for commenting on the code. sys.argv check is a wise one. Since I was the only user of this little snippet I didn't give attention of this detail, however eventually some other people will start using the code too. I thought it is more efficient to only import functions that I use from modules. This said, I don't see much speed difference on two codes. Is import statement (or Python itself) intelligent enough to import only the modules that are used inside a program or does it load all content at the original import time? Mouse-hover readings are really nice to have while analysing the data, and ability of setting its sensitivity comes handier sometimes. I wish I could find a way to put such a mechanism on my recent poster presentation. Hah, maybe I should use a flexible lcd and let viewers to interract with the poster themselves instead of viewing things on a dry big sheet of paper. Yes, the IPython call from shell still stays a mystery... Gökhan On Thu, May 14, 2009 at 12:52 PM, João Luís Silva wrote: > Gökhan SEVER wrote: > >> Hello, >> >> After solving the boxplotting mystery, and figuring out how to change the >> mouse hover reading sensitivities, I have finished my small script which >> creates boxplots from a given file. I can call it either by issueing >> ./splot.py file or from inside ipython -pylab with run command. However I >> still couldn't figure out how to drop in ipython from the bash shell call >> while all my variable context visible in the ipython namespace. >> >> I am attaching the script and a sample file I used. Could you please >> comment whether I am on the right track? I am not very sure my locals() use >> is correct to create a variable name from a given file name. There might be >> other points that seem weaker in the code as well. >> >> Thank you. >> >> Gökhan >> >> >> > The code looks pretty good to me. I've done some minor style changes on the > imports, and added an error check to see if the user passed a parameter or > not. I didn't know how to change the mouseover format, this will be useful > for me, thanks! > > I'm only a casual user of ipython, and I don't know how to do what you ask, > so I'll leave that to someone else. > > (new splot.py attached) > > Best regards, > João Silva > -- Crystal Reports - New Free Runtime and 30 Day Trial Check out the new simplified licensing option that enables unlimited royalty-free distribution of the report engine for externally facing server and web deployment. http://p.sf.net/sfu/businessobjects___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
