Re: [Matplotlib-users] Possible to make linewidth larger in Legend?
On Thu, Feb 23, 2012 at 4:39 PM, Jonno wrote: > I need to use a small linewidth in my plot but the color is still very > clear. However in the legend the small, thin straight line makes it > difficult to tell the color. Is there a way to make the linewidth larger > just in the legend but not on the plot? > You can use a proxy artist: http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist JDH -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Changing the Dash Spacing?
On 02/23/2012 10:46 AM, Jeff Klukas wrote:
> Hello all,
>
> I would like to make small figures (about 3" wide) so that they are
> exactly the right size for a LaTeX document I am preparing. This should
> be straightforward, but I fear I am running into inherent limitations in
> the matplotlib design.
>
> The particular problem is that the dash spacing for dashed lines seems
> to be fixed to a certain number of points. This looks fine for default
> figure sizes, but in a small figure, the dash length becomes comparable
> to the width of histogram bars I'm producing, so the output just looks
> like a series of unrelated scribbles rather than a coherent histogram.
>
> I've produced a short program below which gives a minimal demonstration
> of the problem.
>
> Is there some way to change the length of dashes?
>
> Currently, I am hacking together a solution which involves making large
> figures with huge font sizes, but I would much rather be able to match
> font sizes exactly by making the figure the right size in the first place.
>
> Many thanks,
> Jeff
>
> || Jeff Klukas, Physics
> || University of Wisconsin
> || http://jeff.klukas.net
>
> -
> import matplotlib.pyplot as plt
>
> fig = plt.figure(figsize=(6,4))
line, = plt.plot(range(20), range(20), linestyle='steps--')
line.set_dashes((3,2)) # or whatever on/off sequence in points you want
Eric
> plt.savefig('dashdemo')
>
> fig = plt.figure(figsize=(3,2))
> plt.plot(range(20), range(20), linestyle='steps--')
> plt.savefig('dashdemosmall')
>
>
>
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[Matplotlib-users] Possible to make linewidth larger in Legend?
I need to use a small linewidth in my plot but the color is still very clear. However in the legend the small, thin straight line makes it difficult to tell the color. Is there a way to make the linewidth larger just in the legend but not on the plot? -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Changing the Dash Spacing?
Hello all,
I would like to make small figures (about 3" wide) so that they are exactly
the right size for a LaTeX document I am preparing. This should be
straightforward, but I fear I am running into inherent limitations in the
matplotlib design.
The particular problem is that the dash spacing for dashed lines seems to
be fixed to a certain number of points. This looks fine for default figure
sizes, but in a small figure, the dash length becomes comparable to the
width of histogram bars I'm producing, so the output just looks like a
series of unrelated scribbles rather than a coherent histogram.
I've produced a short program below which gives a minimal demonstration of
the problem.
Is there some way to change the length of dashes?
Currently, I am hacking together a solution which involves making large
figures with huge font sizes, but I would much rather be able to match font
sizes exactly by making the figure the right size in the first place.
Many thanks,
Jeff
|| Jeff Klukas, Physics
|| University of Wisconsin
|| http://jeff.klukas.net
-
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(6,4))
plt.plot(range(20), range(20), linestyle='steps--')
plt.savefig('dashdemo')
fig = plt.figure(figsize=(3,2))
plt.plot(range(20), range(20), linestyle='steps--')
plt.savefig('dashdemosmall')
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Re: [Matplotlib-users] Fwd: Matplotlib gallery
On Thu, Feb 23, 2012 at 10:55 AM, Filipe Pires Alvarenga Fernandes < ocef...@gmail.com> wrote: > Just a suggestion. All these ideas sounds like a "google code-in" task. > > http://code.google.com/intl/pt-BR/opensource/gci/2010-11/ > > I do not know if "Matplotlib" participated in the past, if not take a > look of last years sympy task list: > https://github.com/sympy/sympy/wiki/GCI-2011-Task-list > > If the ideas for the gallery improvement are break down to some simple > tasks like that you guys could use Google code-in to do it. > > -Filipe > > I have made a pull request to change gen_gallery.py to generate a gallery page that breaks down the examples by sub directories. https://github.com/matplotlib/matplotlib/pull/714 The idea would be that people can suggest new directories, get rid of poorly named directories, and move around existing files. The gen_gallery.py would only need to update its list of sub-directories. Also, examples/index.rst would also need to be updated, but maybe we can get that page auto-generated as well? Cheers! Ben Root -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Number of decimal places
On 02/23/2012 01:13 AM, Nils Wagner wrote:
> Hi all,
>
> How can I increase the number of decimal places in yticks ?
One way is to install mpl from git master. The ScalarFormatter handles
this situation better now:
In [15]: print '\n'.join([tl.get_text() for tl in ax.get_yticklabels()])
$\mathdefault{0.052300}$
$\mathdefault{0.052305}$
$\mathdefault{0.052310}$
$\mathdefault{0.052315}$
$\mathdefault{0.052320}$
$\mathdefault{0.052325}$
$\mathdefault{0.052330}$
$\mathdefault{0.052335}$
$\mathdefault{0.052340}$
$\mathdefault{0.052345}$
Eric
>
> Nils
>
> from matplotlib.ticker import ScalarFormatter
> formatter = ScalarFormatter(useMathText=True,useOffset=False)
> formatter.set_scientific(True)
> formatter.set_powerlimits((-12,12))
> print dir (formatter)
> import matplotlib.pyplot as plt
> fig = plt.figure()
> ax = fig.add_subplot(111)
> ax.yaxis.set_major_formatter(formatter)
>
> import numpy as np
>
> A=np.array([[ 1 , 0.00E+00 , 5.234141E-06],
> [ 2 , 1.00E+00 , 5.233310E-06],
> [ 3 , 2.00E+00 , 5.232660E-06],
> [ 4 , 3.00E+00 , 5.231808E-06],
> [ 5 , 4.00E+00 , 5.231277E-06],
> [ 6 , 5.00E+00 , 5.230664E-06],
> [ 7 , 6.00E+00 , 5.230423E-06],
> [ 8 , 7.00E+00 , 5.230136E-06]])
>
> ax.plot(A[:,1],A[:,2])
> plt.show()
>
>
>
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Re: [Matplotlib-users] Fwd: Matplotlib gallery
Just a suggestion. All these ideas sounds like a "google code-in" task. http://code.google.com/intl/pt-BR/opensource/gci/2010-11/ I do not know if "Matplotlib" participated in the past, if not take a look of last years sympy task list: https://github.com/sympy/sympy/wiki/GCI-2011-Task-list If the ideas for the gallery improvement are break down to some simple tasks like that you guys could use Google code-in to do it. -Filipe On Thu, Feb 23, 2012 at 11:46, Benjamin Root wrote: > > > On Thu, Feb 23, 2012 at 10:41 AM, Tony Yu wrote: >> >> >> >> On Thu, Feb 23, 2012 at 11:32 AM, wrote: >>> >>> I will never get use to reply-all >>> >>> -- Forwarded message -- >>> From: >>> Date: Thu, Feb 23, 2012 at 11:31 AM >>> Subject: Re: [Matplotlib-users] Matplotlib gallery >>> To: Nicolas Rougier >>> >>> >>> On Thu, Feb 23, 2012 at 11:24 AM, Nicolas Rougier >>> wrote: >>> > >>> > >>> > I agree, but the current matplotlib gallery is rather clueless about >>> > what the examples are related to until you click an image. I'm personally >>> > using the gallery by looking at an example that match what I've in mind >>> > most >>> > closely and then look at the code. But you're right, some structure(s) >>> > would >>> > definitely help. >>> > >>> > Here is an example of a well structured gallery: >>> > http://www.gigawiz.com/aagraphs.html. >>> > >>> > The first-level structure is organized at: >>> > >>> > Specialized Scientific Graphing >>> > Scatter Graphs >>> > Contour Charts (2-D, 3-D, and Ternary) >>> > Heatmaps >>> > Voronoi Diagram >>> > Waterfall Charts >>> > Bubble Charts >>> > Spider Charts >>> > Polar Charts >>> > Column and Bar Charts >>> > Area Charts >>> > Line Charts >>> > Combination Charts (Column-Line, Bar-Line, Area-Line) >>> > Diagrams of Multiple, Independent Value-Axes Column, Bar or Area Graphs >>> > High-Low, (Open)-High-Low-Close, and Range Charts >>> > Pie Charts and X-Y Scatter Pie >>> > Vector Charts >>> > Statistical Charts >>> > >>> > >>> > Maybe we can find/agree on similar structure(s)/sub-structure(s) and >>> > adapt it to the current gallery ? >>> >>> An advantage of the current all in one page gallery is that it is >>> easier to find a recipe when I just look for individual plot elements, >>> when I have not much idea what it might be called and just some idea >>> what it should look like. >>> >>> That's different from looking for plots with a specific usage or content. >>> >>> Josef >>> >> >> You could still have a one-page gallery with plots separated into >> subheadings (and a table of contents at the top which allows you to jump to >> subheadings). This alone would greatly improve navigation in the gallery. >> The list of headings is great, by the way. >> >> -Tony >> > > > I am banging out a pull request to do just that. > > Ben Root > > > -- > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Issues with clang when building on MacOS 10.7
It seems this was the only source of errors. There is a pull request here:
https://github.com/matplotlib/matplotlib/pull/713
There are plenty of warnings that should probably also be dealt with,
but this at least allows compilation to complete for now.
Mike
On 02/23/2012 10:27 AM, Michael Droettboom wrote:
I got my OS-X machine going again -- I'm looking into this further now.
Mike
On 02/23/2012 10:19 AM, Michael Droettboom wrote:
It looks like a bug in agg that the stricter clang is picking up. If
you change agg24/include/agg_renderer_outline_aa.h:1368 to read:
const line_profile_aa& profile() { return *m_profile; }
does that help? (There's probably other cases like this behind it).
I don't have a complete OS-X environment right now to test with, or I'd
see what the other issues were myself.
Mike
On 02/23/2012 07:47 AM, Thomas Robitaille wrote:
Hello,
I am trying to build the latest version of matplotlib from the git repository
(1cd07a6c) on MacOS 10.7, and regardless of whether I build using the make.osx
file or just 'python setup.py build', the C files get compiled with clang, and
clang raises an error on one of the files:
/Developer/usr/bin/clang -fno-strict-aliasing -fno-common -dynamic -pipe -O2
-fwrapv -DNDEBUG -g -O3 -Wall -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API
-DPYCXX_ISO_CPP_LIB=1
-I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
-I.
-I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
-Isrc -Iagg24/include -I.
-I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
-I/opt/local/include/freetype2 -I/opt/local/include -I.
-I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/include/python2.7
-c src/backend_agg.cpp -o build/temp.macosx-10.7-x86_64-2.7/src/backend_agg.o
In file included from src/backend_agg.cpp:11:
In file included from src/_backend_agg.h:34:
agg24/include/agg_renderer_outline_aa.h:1368:45: error: binding of reference to
type 'agg::line_profile_aa' to a value of type 'const agg::line_profile_aa'
drops qualifiers
line_profile_aa&profile() { return *m_profile; }
^~
1 error generated.
error: command '/Developer/usr/bin/clang' failed with exit status 1
If I do:
CC=gcc python setup.py build
then things work fine, but I just wanted to raise the point that the C files do
not compile successfully with clang at this time (but this seems to be the
default compiler on 10.7).
Cheers,
Tom
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Re: [Matplotlib-users] Fwd: Matplotlib gallery
On Thu, Feb 23, 2012 at 10:41 AM, Tony Yu wrote: > > > On Thu, Feb 23, 2012 at 11:32 AM, wrote: > >> I will never get use to reply-all >> >> -- Forwarded message -- >> From: >> Date: Thu, Feb 23, 2012 at 11:31 AM >> Subject: Re: [Matplotlib-users] Matplotlib gallery >> To: Nicolas Rougier >> >> >> On Thu, Feb 23, 2012 at 11:24 AM, Nicolas Rougier >> wrote: >> > >> > >> > I agree, but the current matplotlib gallery is rather clueless about >> what the examples are related to until you click an image. I'm personally >> using the gallery by looking at an example that match what I've in mind >> most closely and then look at the code. But you're right, some structure(s) >> would definitely help. >> > >> > Here is an example of a well structured gallery: >> http://www.gigawiz.com/aagraphs.html. >> > >> > The first-level structure is organized at: >> > >> > Specialized Scientific Graphing >> > Scatter Graphs >> > Contour Charts (2-D, 3-D, and Ternary) >> > Heatmaps >> > Voronoi Diagram >> > Waterfall Charts >> > Bubble Charts >> > Spider Charts >> > Polar Charts >> > Column and Bar Charts >> > Area Charts >> > Line Charts >> > Combination Charts (Column-Line, Bar-Line, Area-Line) >> > Diagrams of Multiple, Independent Value-Axes Column, Bar or Area Graphs >> > High-Low, (Open)-High-Low-Close, and Range Charts >> > Pie Charts and X-Y Scatter Pie >> > Vector Charts >> > Statistical Charts >> > >> > >> > Maybe we can find/agree on similar structure(s)/sub-structure(s) and >> adapt it to the current gallery ? >> >> An advantage of the current all in one page gallery is that it is >> easier to find a recipe when I just look for individual plot elements, >> when I have not much idea what it might be called and just some idea >> what it should look like. >> >> That's different from looking for plots with a specific usage or content. >> >> Josef >> >> > You could still have a one-page gallery with plots separated into > subheadings (and a table of contents at the top which allows you to jump to > subheadings). This alone would greatly improve navigation in the gallery. > The list of headings is great, by the way. > > -Tony > > I am banging out a pull request to do just that. Ben Root -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Fwd: Matplotlib gallery
On Thu, Feb 23, 2012 at 11:32 AM, wrote: > I will never get use to reply-all > > -- Forwarded message -- > From: > Date: Thu, Feb 23, 2012 at 11:31 AM > Subject: Re: [Matplotlib-users] Matplotlib gallery > To: Nicolas Rougier > > > On Thu, Feb 23, 2012 at 11:24 AM, Nicolas Rougier > wrote: > > > > > > I agree, but the current matplotlib gallery is rather clueless about > what the examples are related to until you click an image. I'm personally > using the gallery by looking at an example that match what I've in mind > most closely and then look at the code. But you're right, some structure(s) > would definitely help. > > > > Here is an example of a well structured gallery: > http://www.gigawiz.com/aagraphs.html. > > > > The first-level structure is organized at: > > > > Specialized Scientific Graphing > > Scatter Graphs > > Contour Charts (2-D, 3-D, and Ternary) > > Heatmaps > > Voronoi Diagram > > Waterfall Charts > > Bubble Charts > > Spider Charts > > Polar Charts > > Column and Bar Charts > > Area Charts > > Line Charts > > Combination Charts (Column-Line, Bar-Line, Area-Line) > > Diagrams of Multiple, Independent Value-Axes Column, Bar or Area Graphs > > High-Low, (Open)-High-Low-Close, and Range Charts > > Pie Charts and X-Y Scatter Pie > > Vector Charts > > Statistical Charts > > > > > > Maybe we can find/agree on similar structure(s)/sub-structure(s) and > adapt it to the current gallery ? > > An advantage of the current all in one page gallery is that it is > easier to find a recipe when I just look for individual plot elements, > when I have not much idea what it might be called and just some idea > what it should look like. > > That's different from looking for plots with a specific usage or content. > > Josef > > You could still have a one-page gallery with plots separated into subheadings (and a table of contents at the top which allows you to jump to subheadings). This alone would greatly improve navigation in the gallery. The list of headings is great, by the way. -Tony > > > > > > > Nicolas > > > > > > > > On Feb 23, 2012, at 16:59 , Jerzy Karczmarczuk wrote: > > > >> Nicolas Rougier : > >>> I've seen the discussion around the re-organization of the matplotlib > gallery. > >>> If that might help, here is a link to a small gallery I made. > >>> > >>> The overall organization is simply based on subdirectories so maybe it > could be a (temporary) solution for the matplotlib gallery (just matter of > moving examples in the right subdirectory). > >> THANKS, Nicolas. > >> > >> This is a nice initiative, but I believe that in the context of a > >> presentation of some software, this is not the way I would have chosen. > >> Why people look-up /such/ galleries? Why I do it myself? What are the > >> needs of my students (about 20 - 30 guys who work with matplotlib week > >> after wek)? > >> > >> Often because I want to find a concrete program, which answers a > >> concrete question : how to implement timed animations. How to make > >> multiple plots. How to insert a figure in a GUI with widgets, how to > >> distort an image matrix, etc. etc. So a gallery should contains infos > >> about what the hell the example XYZ is about, what does it show, where > >> is the *concrete* documentation page with the description of the tools > >> used, etc. > >> > >> The order of examples should be rational, and as ALWAYS some cross-links > >> would be useful. > >> Program-sources without comments are not so useful... > >> > >> == > >> > >> But I believe that this is just a start, and I am aware that to > >> criticize is easier than to do something. (Je suis un grognon né, > >> Nicolas, désolé...). So please, continue, my heart is with you! > >> > >> > >> Jerzy Karczmarczuk > >> Caen, France. > >> > >> > >> > -- > >> Virtualization & Cloud Management Using Capacity Planning > >> Cloud computing makes use of virtualization - but cloud computing > >> also focuses on allowing computing to be delivered as a service. > >> http://www.accelacomm.com/jaw/sfnl/114/51521223/ > >> ___ > >> Matplotlib-users mailing list > >> Matplotlib-users@lists.sourceforge.net > >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > > > -- > > Virtualization & Cloud Management Using Capacity Planning > > Cloud computing makes use of virtualization - but cloud computing > > also focuses on allowing computing to be delivered as a service. > > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > > ___ > > Matplotlib-users mailing list > > Matplotlib-users@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > -- > Virtualization & Cloud Management Using
[Matplotlib-users] Fwd: Matplotlib gallery
I will never get use to reply-all -- Forwarded message -- From: Date: Thu, Feb 23, 2012 at 11:31 AM Subject: Re: [Matplotlib-users] Matplotlib gallery To: Nicolas Rougier On Thu, Feb 23, 2012 at 11:24 AM, Nicolas Rougier wrote: > > > I agree, but the current matplotlib gallery is rather clueless about what the > examples are related to until you click an image. I'm personally using the > gallery by looking at an example that match what I've in mind most closely > and then look at the code. But you're right, some structure(s) would > definitely help. > > Here is an example of a well structured gallery: > http://www.gigawiz.com/aagraphs.html. > > The first-level structure is organized at: > > Specialized Scientific Graphing > Scatter Graphs > Contour Charts (2-D, 3-D, and Ternary) > Heatmaps > Voronoi Diagram > Waterfall Charts > Bubble Charts > Spider Charts > Polar Charts > Column and Bar Charts > Area Charts > Line Charts > Combination Charts (Column-Line, Bar-Line, Area-Line) > Diagrams of Multiple, Independent Value-Axes Column, Bar or Area Graphs > High-Low, (Open)-High-Low-Close, and Range Charts > Pie Charts and X-Y Scatter Pie > Vector Charts > Statistical Charts > > > Maybe we can find/agree on similar structure(s)/sub-structure(s) and adapt it > to the current gallery ? An advantage of the current all in one page gallery is that it is easier to find a recipe when I just look for individual plot elements, when I have not much idea what it might be called and just some idea what it should look like. That's different from looking for plots with a specific usage or content. Josef > > > Nicolas > > > > On Feb 23, 2012, at 16:59 , Jerzy Karczmarczuk wrote: > >> Nicolas Rougier : >>> I've seen the discussion around the re-organization of the matplotlib >>> gallery. >>> If that might help, here is a link to a small gallery I made. >>> >>> The overall organization is simply based on subdirectories so maybe it >>> could be a (temporary) solution for the matplotlib gallery (just matter of >>> moving examples in the right subdirectory). >> THANKS, Nicolas. >> >> This is a nice initiative, but I believe that in the context of a >> presentation of some software, this is not the way I would have chosen. >> Why people look-up /such/ galleries? Why I do it myself? What are the >> needs of my students (about 20 - 30 guys who work with matplotlib week >> after wek)? >> >> Often because I want to find a concrete program, which answers a >> concrete question : how to implement timed animations. How to make >> multiple plots. How to insert a figure in a GUI with widgets, how to >> distort an image matrix, etc. etc. So a gallery should contains infos >> about what the hell the example XYZ is about, what does it show, where >> is the *concrete* documentation page with the description of the tools >> used, etc. >> >> The order of examples should be rational, and as ALWAYS some cross-links >> would be useful. >> Program-sources without comments are not so useful... >> >> == >> >> But I believe that this is just a start, and I am aware that to >> criticize is easier than to do something. (Je suis un grognon né, >> Nicolas, désolé...). So please, continue, my heart is with you! >> >> >> Jerzy Karczmarczuk >> Caen, France. >> >> >> -- >> Virtualization & Cloud Management Using Capacity Planning >> Cloud computing makes use of virtualization - but cloud computing >> also focuses on allowing computing to be delivered as a service. >> http://www.accelacomm.com/jaw/sfnl/114/51521223/ >> ___ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > -- > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Bar graphs showing up incorrectly until they are resized:
I think you are correct - and I think the fact that the line width of the error bar is larger (compared to the size of the rectangle) gives the impression the top rectangle is actually darker. I see - it's just a matter of playing around with the error bar properties to make it look pretty. Thanks, Federico On Thu, Feb 23, 2012 at 5:13 PM, Benjamin Root wrote: > > > On Thu, Feb 23, 2012 at 10:03 AM, federico vaggi > wrote: > >> Hi Ben, >> >> In the pre-resizing pictures, each bar is drawn as two rectangles, the >> first until the lower margin of the standard deviation, the second until >> the mean. >> >> It looks like it draws one rectangle from: >> >> 0:(MEAN-STD) >> >> and another from: >> >> MEAN-STD to MEAN+STD >> >> After resizing, it is just a single rectangle with the standard deviation >> drawn as normal. >> >> I presume the 2nd version is meant to be correct, but absolutely no >> graphics properties are altered (besides manually re-sizing the window). >> >> Federico >> >> > Sorry, I am not seeing what you are saying. Just to be clear, when you > say "bar", are you referring to the gray rectangles that denote the mean or > the errorbars that denote the standard deviations? > > What might be confusing is that in the first graph, the "cap" of the > errorbars (the horizontal line on the ends of each errorbar) is almost the > same width as the gray bars themselves. This sort of makes it look like > there are two gray bars stacked on top of each other. Is this what you are > referring to? > > Ben Root > > -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib gallery
I agree, but the current matplotlib gallery is rather clueless about what the examples are related to until you click an image. I'm personally using the gallery by looking at an example that match what I've in mind most closely and then look at the code. But you're right, some structure(s) would definitely help. Here is an example of a well structured gallery: http://www.gigawiz.com/aagraphs.html. The first-level structure is organized at: Specialized Scientific Graphing Scatter Graphs Contour Charts (2-D, 3-D, and Ternary) Heatmaps Voronoi Diagram Waterfall Charts Bubble Charts Spider Charts Polar Charts Column and Bar Charts Area Charts Line Charts Combination Charts (Column-Line, Bar-Line, Area-Line) Diagrams of Multiple, Independent Value-Axes Column, Bar or Area Graphs High-Low, (Open)-High-Low-Close, and Range Charts Pie Charts and X-Y Scatter Pie Vector Charts Statistical Charts Maybe we can find/agree on similar structure(s)/sub-structure(s) and adapt it to the current gallery ? Nicolas On Feb 23, 2012, at 16:59 , Jerzy Karczmarczuk wrote: > Nicolas Rougier : >> I've seen the discussion around the re-organization of the matplotlib >> gallery. >> If that might help, here is a link to a small gallery I made. >> >> The overall organization is simply based on subdirectories so maybe it could >> be a (temporary) solution for the matplotlib gallery (just matter of moving >> examples in the right subdirectory). > THANKS, Nicolas. > > This is a nice initiative, but I believe that in the context of a > presentation of some software, this is not the way I would have chosen. > Why people look-up /such/ galleries? Why I do it myself? What are the > needs of my students (about 20 - 30 guys who work with matplotlib week > after wek)? > > Often because I want to find a concrete program, which answers a > concrete question : how to implement timed animations. How to make > multiple plots. How to insert a figure in a GUI with widgets, how to > distort an image matrix, etc. etc. So a gallery should contains infos > about what the hell the example XYZ is about, what does it show, where > is the *concrete* documentation page with the description of the tools > used, etc. > > The order of examples should be rational, and as ALWAYS some cross-links > would be useful. > Program-sources without comments are not so useful... > > == > > But I believe that this is just a start, and I am aware that to > criticize is easier than to do something. (Je suis un grognon né, > Nicolas, désolé...). So please, continue, my heart is with you! > > > Jerzy Karczmarczuk > Caen, France. > > > -- > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] surface plot
On Thu, Feb 23, 2012 at 10:14 AM, David Craig wrote: > Hi, > I have an array defined by 3 variables p(x,z,t). I would like to produce > a surface plot with colors defined by p and animate it. That is plot the > value of p at all x and z, over time (t). My code to get p is below but > I really have no idea how to plot this. Anyone know the best way to go > about this? > thanks, > D > > > # 2D Finite Distance Wave Equation. > from pylab import * > from numpy import math > > ion() > > # Set up variables. > nx = 100 > nz = 100 > nsteps = 300 > c = 3500 > dt = 10**-4 > h = 1 > t = arange(0,nsteps,dt) > > # Define source as a spike. > s = zeros(nsteps) > s[1] = 1 > s[2] = 2 > s[3] = 1 > > # Position source. > xs = 50 > zs = 50 > ##plot(t,s) > ##show() > > > # Set up pressure field. > p=empty([nx,nz,nsteps]) > > for t in range(0,nsteps-1): > > for z in range(0,nz-1): > > for x in range(0,nx-1): > > p[x,z,t] = 0 > > > > # Solve wave equation. > for t in range(2,nsteps-1): > > > for z in range(1,nz-1): > > for x in range(2,nx-1): > > p[xs,zs,t] = s[t] > > k = (c*dt/h)**2 > > p[x,z,t] = 2*p[x,z,t-1] - p[x,z,t-2] + > k*(p[x+1,z,t-1]-4*p[x,z,t-1]+p[x-1,z,t-1]+p[x,z+1,t-1]+p[x,z-1,t-1]) > > > #Plot somehow > draw() > #close() > > > Here is an example using wireframe(). This method of animation is not recommended anymore, but it does still work. Once you get your plot_surface version working, there are some various tricks to speed it up and make it more efficient. Probably the most important thing to remember is that your norm object will need to be set before starting so that the colors are consistent throughout the animation. http://matplotlib.sourceforge.net/examples/mplot3d/wire3d_animation_demo.html Cheers! Ben Root -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Bar graphs showing up incorrectly until they are resized:
On Thu, Feb 23, 2012 at 10:03 AM, federico vaggi wrote: > Hi Ben, > > In the pre-resizing pictures, each bar is drawn as two rectangles, the > first until the lower margin of the standard deviation, the second until > the mean. > > It looks like it draws one rectangle from: > > 0:(MEAN-STD) > > and another from: > > MEAN-STD to MEAN+STD > > After resizing, it is just a single rectangle with the standard deviation > drawn as normal. > > I presume the 2nd version is meant to be correct, but absolutely no > graphics properties are altered (besides manually re-sizing the window). > > Federico > > Sorry, I am not seeing what you are saying. Just to be clear, when you say "bar", are you referring to the gray rectangles that denote the mean or the errorbars that denote the standard deviations? What might be confusing is that in the first graph, the "cap" of the errorbars (the horizontal line on the ends of each errorbar) is almost the same width as the gray bars themselves. This sort of makes it look like there are two gray bars stacked on top of each other. Is this what you are referring to? Ben Root -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] surface plot
Hi, I have an array defined by 3 variables p(x,z,t). I would like to produce a surface plot with colors defined by p and animate it. That is plot the value of p at all x and z, over time (t). My code to get p is below but I really have no idea how to plot this. Anyone know the best way to go about this? thanks, D # 2D Finite Distance Wave Equation. from pylab import * from numpy import math ion() # Set up variables. nx = 100 nz = 100 nsteps = 300 c = 3500 dt = 10**-4 h = 1 t = arange(0,nsteps,dt) # Define source as a spike. s = zeros(nsteps) s[1] = 1 s[2] = 2 s[3] = 1 # Position source. xs = 50 zs = 50 ##plot(t,s) ##show() # Set up pressure field. p=empty([nx,nz,nsteps]) for t in range(0,nsteps-1): for z in range(0,nz-1): for x in range(0,nx-1): p[x,z,t] = 0 # Solve wave equation. for t in range(2,nsteps-1): for z in range(1,nz-1): for x in range(2,nx-1): p[xs,zs,t] = s[t] k = (c*dt/h)**2 p[x,z,t] = 2*p[x,z,t-1] - p[x,z,t-2] + k*(p[x+1,z,t-1]-4*p[x,z,t-1]+p[x-1,z,t-1]+p[x,z+1,t-1]+p[x,z-1,t-1]) #Plot somehow draw() #close() -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Bar graphs showing up incorrectly until they are resized:
Hi Ben, In the pre-resizing pictures, each bar is drawn as two rectangles, the first until the lower margin of the standard deviation, the second until the mean. It looks like it draws one rectangle from: 0:(MEAN-STD) and another from: MEAN-STD to MEAN+STD After resizing, it is just a single rectangle with the standard deviation drawn as normal. I presume the 2nd version is meant to be correct, but absolutely no graphics properties are altered (besides manually re-sizing the window). Federico On Thu, Feb 23, 2012 at 4:54 PM, Benjamin Root wrote: > > > On Thu, Feb 23, 2012 at 5:02 AM, federico vaggi > wrote: > >> Hi, >> >> I am using matplotlib to draw a few bar plots. The library works >> wonderfully, but the figures are drawn incorrectly until they are resized >> >> Here is the figure before resizing: >> >> http://imgur.com/MKATg >> >> here is after resizing: >> >> http://imgur.com/bSiOT >> >> It seems that the rectangles of the bar somehow are not drawn properly. >> >> Any suggestions on how to fix it automatically? >> >> Federico >> >> > Federico, > > Could you please be a bit more specific about what you think is wrong. I > see a number of possibilities, but I can't be sure what you are referring > to. > > Ben Root > > -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib gallery
Nicolas Rougier : > I've seen the discussion around the re-organization of the matplotlib gallery. > If that might help, here is a link to a small gallery I made. > > The overall organization is simply based on subdirectories so maybe it could > be a (temporary) solution for the matplotlib gallery (just matter of moving > examples in the right subdirectory). THANKS, Nicolas. This is a nice initiative, but I believe that in the context of a presentation of some software, this is not the way I would have chosen. Why people look-up /such/ galleries? Why I do it myself? What are the needs of my students (about 20 - 30 guys who work with matplotlib week after wek)? Often because I want to find a concrete program, which answers a concrete question : how to implement timed animations. How to make multiple plots. How to insert a figure in a GUI with widgets, how to distort an image matrix, etc. etc. So a gallery should contains infos about what the hell the example XYZ is about, what does it show, where is the *concrete* documentation page with the description of the tools used, etc. The order of examples should be rational, and as ALWAYS some cross-links would be useful. Program-sources without comments are not so useful... == But I believe that this is just a start, and I am aware that to criticize is easier than to do something. (Je suis un grognon né, Nicolas, désolé...). So please, continue, my heart is with you! Jerzy Karczmarczuk Caen, France. -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Matplotlib gallery
On Thu, Feb 23, 2012 at 8:14 AM, Nicolas Rougier wrote: > > > I've seen the discussion around the re-organization of the matplotlib > gallery. > If that might help, here is a link to a small gallery I made. > > The overall organization is simply based on subdirectories so maybe it > could be a (temporary) solution for the matplotlib gallery (just matter of > moving examples in the right subdirectory). > > > http://www.loria.fr/~rougier/coding/gallery/ > https://github.com/rougier/gallery > > > > Nicolas > Nicolas, Thank you for sharing. Currently, our examples are organized by subdirectories. In fact, the Gallary has the exact same examples as the Examples page (except for animations). Perhaps the most simple solution for the gallary page is to just break it up into the subsections by directory? Cheers! Ben Root -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Bar graphs showing up incorrectly until they are resized:
On Thu, Feb 23, 2012 at 5:02 AM, federico vaggi wrote: > Hi, > > I am using matplotlib to draw a few bar plots. The library works > wonderfully, but the figures are drawn incorrectly until they are resized > > Here is the figure before resizing: > > http://imgur.com/MKATg > > here is after resizing: > > http://imgur.com/bSiOT > > It seems that the rectangles of the bar somehow are not drawn properly. > > Any suggestions on how to fix it automatically? > > Federico > > Federico, Could you please be a bit more specific about what you think is wrong. I see a number of possibilities, but I can't be sure what you are referring to. Ben Root -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Issues with clang when building on MacOS 10.7
I got my OS-X machine going again -- I'm looking into this further now.
Mike
On 02/23/2012 10:19 AM, Michael Droettboom wrote:
> It looks like a bug in agg that the stricter clang is picking up. If
> you change agg24/include/agg_renderer_outline_aa.h:1368 to read:
>
> const line_profile_aa& profile() { return *m_profile; }
>
> does that help? (There's probably other cases like this behind it).
>
> I don't have a complete OS-X environment right now to test with, or I'd
> see what the other issues were myself.
>
> Mike
>
> On 02/23/2012 07:47 AM, Thomas Robitaille wrote:
>> Hello,
>>
>> I am trying to build the latest version of matplotlib from the git
>> repository (1cd07a6c) on MacOS 10.7, and regardless of whether I build using
>> the make.osx file or just 'python setup.py build', the C files get compiled
>> with clang, and clang raises an error on one of the files:
>>
>> /Developer/usr/bin/clang -fno-strict-aliasing -fno-common -dynamic -pipe -O2
>> -fwrapv -DNDEBUG -g -O3 -Wall -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API
>> -DPYCXX_ISO_CPP_LIB=1
>> -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
>> -I.
>> -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
>> -Isrc -Iagg24/include -I.
>> -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
>> -I/opt/local/include/freetype2 -I/opt/local/include -I.
>> -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/include/python2.7
>> -c src/backend_agg.cpp -o
>> build/temp.macosx-10.7-x86_64-2.7/src/backend_agg.o
>> In file included from src/backend_agg.cpp:11:
>> In file included from src/_backend_agg.h:34:
>> agg24/include/agg_renderer_outline_aa.h:1368:45: error: binding of reference
>> to type 'agg::line_profile_aa' to a value of type 'const
>> agg::line_profile_aa' drops qualifiers
>> line_profile_aa& profile() { return *m_profile; }
>> ^~
>> 1 error generated.
>>
>> error: command '/Developer/usr/bin/clang' failed with exit status 1
>>
>> If I do:
>>
>> CC=gcc python setup.py build
>>
>> then things work fine, but I just wanted to raise the point that the C files
>> do not compile successfully with clang at this time (but this seems to be
>> the default compiler on 10.7).
>>
>> Cheers,
>> Tom
>>
>>
>>
>> --
>> Virtualization& Cloud Management Using Capacity Planning
>> Cloud computing makes use of virtualization - but cloud computing
>> also focuses on allowing computing to be delivered as a service.
>> http://www.accelacomm.com/jaw/sfnl/114/51521223/
>> ___
>> Matplotlib-users mailing list
>> Matplotlib-users@lists.sourceforge.net
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
> --
> Virtualization& Cloud Management Using Capacity Planning
> Cloud computing makes use of virtualization - but cloud computing
> also focuses on allowing computing to be delivered as a service.
> http://www.accelacomm.com/jaw/sfnl/114/51521223/
> ___
> Matplotlib-users mailing list
> Matplotlib-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
--
Virtualization & Cloud Management Using Capacity Planning
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also focuses on allowing computing to be delivered as a service.
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Re: [Matplotlib-users] Issues with clang when building on MacOS 10.7
It looks like a bug in agg that the stricter clang is picking up. If
you change agg24/include/agg_renderer_outline_aa.h:1368 to read:
const line_profile_aa& profile() { return *m_profile; }
does that help? (There's probably other cases like this behind it).
I don't have a complete OS-X environment right now to test with, or I'd
see what the other issues were myself.
Mike
On 02/23/2012 07:47 AM, Thomas Robitaille wrote:
> Hello,
>
> I am trying to build the latest version of matplotlib from the git repository
> (1cd07a6c) on MacOS 10.7, and regardless of whether I build using the
> make.osx file or just 'python setup.py build', the C files get compiled with
> clang, and clang raises an error on one of the files:
>
> /Developer/usr/bin/clang -fno-strict-aliasing -fno-common -dynamic -pipe -O2
> -fwrapv -DNDEBUG -g -O3 -Wall -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API
> -DPYCXX_ISO_CPP_LIB=1
> -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
> -I.
> -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
> -Isrc -Iagg24/include -I.
> -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
> -I/opt/local/include/freetype2 -I/opt/local/include -I.
> -I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/include/python2.7
> -c src/backend_agg.cpp -o build/temp.macosx-10.7-x86_64-2.7/src/backend_agg.o
> In file included from src/backend_agg.cpp:11:
> In file included from src/_backend_agg.h:34:
> agg24/include/agg_renderer_outline_aa.h:1368:45: error: binding of reference
> to type 'agg::line_profile_aa' to a value of type 'const
> agg::line_profile_aa' drops qualifiers
> line_profile_aa& profile() { return *m_profile; }
> ^~
> 1 error generated.
>
> error: command '/Developer/usr/bin/clang' failed with exit status 1
>
> If I do:
>
> CC=gcc python setup.py build
>
> then things work fine, but I just wanted to raise the point that the C files
> do not compile successfully with clang at this time (but this seems to be the
> default compiler on 10.7).
>
> Cheers,
> Tom
>
>
>
> --
> Virtualization& Cloud Management Using Capacity Planning
> Cloud computing makes use of virtualization - but cloud computing
> also focuses on allowing computing to be delivered as a service.
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[Matplotlib-users] Matplotlib gallery
I've seen the discussion around the re-organization of the matplotlib gallery. If that might help, here is a link to a small gallery I made. The overall organization is simply based on subdirectories so maybe it could be a (temporary) solution for the matplotlib gallery (just matter of moving examples in the right subdirectory). http://www.loria.fr/~rougier/coding/gallery/ https://github.com/rougier/gallery Nicolas -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Issues with clang when building on MacOS 10.7
Hello,
I am trying to build the latest version of matplotlib from the git repository
(1cd07a6c) on MacOS 10.7, and regardless of whether I build using the make.osx
file or just 'python setup.py build', the C files get compiled with clang, and
clang raises an error on one of the files:
/Developer/usr/bin/clang -fno-strict-aliasing -fno-common -dynamic -pipe -O2
-fwrapv -DNDEBUG -g -O3 -Wall -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API
-DPYCXX_ISO_CPP_LIB=1
-I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
-I.
-I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
-Isrc -Iagg24/include -I.
-I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/core/include
-I/opt/local/include/freetype2 -I/opt/local/include -I.
-I/opt/local/Library/Frameworks/Python.framework/Versions/2.7/include/python2.7
-c src/backend_agg.cpp -o build/temp.macosx-10.7-x86_64-2.7/src/backend_agg.o
In file included from src/backend_agg.cpp:11:
In file included from src/_backend_agg.h:34:
agg24/include/agg_renderer_outline_aa.h:1368:45: error: binding of reference to
type 'agg::line_profile_aa' to a value of type 'const agg::line_profile_aa'
drops qualifiers
line_profile_aa& profile() { return *m_profile; }
^~
1 error generated.
error: command '/Developer/usr/bin/clang' failed with exit status 1
If I do:
CC=gcc python setup.py build
then things work fine, but I just wanted to raise the point that the C files do
not compile successfully with clang at this time (but this seems to be the
default compiler on 10.7).
Cheers,
Tom
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Re: [Matplotlib-users] problems installaling matplotlib on ubuntu 11.10
On Feb 23, 2012 1:39 PM, wrote: > > should I reinstall numpy? No need. You should be able to build matplotlib without sudo and then install with sudo python setup.py build sudo python setup.py install Cheers, Scott -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] problems installaling matplotlib on ubuntu 11.10
Thank you all for your help Using "sudo" generates an error, without it everything run ok. :~$ sudo python -c "import numpy; print numpy.__version__" Traceback (most recent call last): File "", line 1, in File "/usr/local/lib/python2.7/dist-packages/numpy/__init__.py", line 137, in import add_newdocs File "/usr/local/lib/python2.7/dist-packages/numpy/add_newdocs.py", line 9, in from numpy.lib import add_newdoc File "/usr/local/lib/python2.7/dist-packages/numpy/lib/__init__.py", line 13, in from polynomial import * File "/usr/local/lib/python2.7/dist-packages/numpy/lib/polynomial.py", line 17, in from numpy.linalg import eigvals, lstsq File "/usr/local/lib/python2.7/dist-packages/numpy/linalg/__init__.py", line 48, in from linalg import * File "/usr/local/lib/python2.7/dist-packages/numpy/linalg/linalg.py", line 23, in from numpy.linalg import lapack_lite ImportError: libifport.so.5: cannot open shared object file: No such file or directory And the other command suggested by Eric, I think matplotlib is not displayed due to it is not intalled yet, isn't it? ~$ sudo python -c "import sys; print '\n'.join(sys.path)" /usr/local/lib/python2.7/dist-packages/setuptools-0.6c11-py2.7.egg /usr/local/lib/python2.7/dist-packages/nose-0.11.0.dev_r636-py2.7.egg /usr/local/lib/python2.7/dist-packages/FiPy-2.1.2-py2.7.egg /usr/local/lib/python2.7/dist-packages/pysparse-1.2_dev224-py2.7-linux-x86_64.egg /usr/local/lib/python2.7/dist-packages /usr/lib/python2.7 /usr/lib/python2.7/plat-linux2 /usr/lib/python2.7/lib-tk /usr/lib/python2.7/lib-old /usr/lib/python2.7/lib-dynload /usr/local/lib/python2.7/dist-packages /usr/lib/python2.7/dist-packages /usr/lib/python2.7/dist-packages/PIL /usr/lib/python2.7/dist-packages/gst-0.10 /usr/lib/python2.7/dist-packages/gtk-2.0 /usr/lib/pymodules/python2.7 /usr/lib/pymodules/python2.7/libubuntuone /usr/lib/python2.7/dist-packages/ubuntu-sso-client /usr/lib/python2.7/dist-packages/ubuntuone-client /usr/lib/python2.7/dist-packages/ubuntuone-control-panel /usr/lib/python2.7/dist-packages/ubuntuone-installer /usr/lib/python2.7/dist-packages/ubuntuone-storage-protocol /usr/lib/python2.7/dist-packages/wx-2.8-gtk2-unicode should I reinstall numpy? Thanks, Lucia > On 02/22/2012 04:06 PM, ava...@famaf.unc.edu.ar wrote: >> Dear users, >> I am trying to install matplotlib from source. When I run: >> sudo python setup.py install> build.out >> I got the following: >> basedirlist is: ['/usr/local', '/usr'] >> >> BUILDING MATPLOTLIB >> matplotlib: 1.2.x >> python: 2.7.2+ (default, Oct 4 2011, 20:06:09) [GCC >> 4.6.1] >>platform: linux2 >> >> REQUIRED DEPENDENCIES >> numpy: no >> * You must install numpy 1.4 or later to build >> * matplotlib. >> >> But numpy is installed(/usr/local/lib/python2.7/dist-packages/numpy) >> python -c "import numpy; print numpy.__version__" >> 1.6.1 >> How matplotlib could locate numpy path? > > mpl is trying to use exactly this method: import numpy. See the > check_for_numpy function() in setupext.py. > > All I can imagine is that either because of sudo, or because of the > terminal you were in when you tried to build, your sys.path was not > including the /usr/local path. > > Try: > sudo python -c "import numpy; print numpy.__version__" > > sudo python -c "import sys; print '\n'.join(sys.path)" > > The latter must include /usr/local/lib/python2.7/dist-packages. > > Eric > >> >> How this problem could be solved? >> Thanks a lot in advance. >> Lucia >> >> >> >> >> -- >> Virtualization& Cloud Management Using Capacity Planning >> Cloud computing makes use of virtualization - but cloud computing >> also focuses on allowing computing to be delivered as a service. >> http://www.accelacomm.com/jaw/sfnl/114/51521223/ >> ___ >> Matplotlib-users mailing list >> Matplotlib-users@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > -- > Virtualization & Cloud Management Using Capacity Planning > Cloud computing makes use of virtualization - but cloud computing > also focuses on allowing computing to be delivered as a service. > http://www.accelacomm.com/jaw/sfnl/114/51521223/ > ___ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered
[Matplotlib-users] Number of decimal places
Hi all, How can I increase the number of decimal places in yticks ? Nils from matplotlib.ticker import ScalarFormatter formatter = ScalarFormatter(useMathText=True,useOffset=False) formatter.set_scientific(True) formatter.set_powerlimits((-12,12)) print dir (formatter) import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111) ax.yaxis.set_major_formatter(formatter) import numpy as np A=np.array([[ 1 , 0.00E+00 , 5.234141E-06], [ 2 , 1.00E+00 , 5.233310E-06], [ 3 , 2.00E+00 , 5.232660E-06], [ 4 , 3.00E+00 , 5.231808E-06], [ 5 , 4.00E+00 , 5.231277E-06], [ 6 , 5.00E+00 , 5.230664E-06], [ 7 , 6.00E+00 , 5.230423E-06], [ 8 , 7.00E+00 , 5.230136E-06]]) ax.plot(A[:,1],A[:,2]) plt.show() <>-- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Bar graphs showing up incorrectly until they are resized:
Hi, I am using matplotlib to draw a few bar plots. The library works wonderfully, but the figures are drawn incorrectly until they are resized Here is the figure before resizing: http://imgur.com/MKATg here is after resizing: http://imgur.com/bSiOT It seems that the rectangles of the bar somehow are not drawn properly. Any suggestions on how to fix it automatically? Federico -- Virtualization & Cloud Management Using Capacity Planning Cloud computing makes use of virtualization - but cloud computing also focuses on allowing computing to be delivered as a service. http://www.accelacomm.com/jaw/sfnl/114/51521223/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
