matplotlib-users Mailing List for matplotlib (Page 2)

+1 -- sounds great!



On Tue, Jan 20, 2015 at 7:48 AM, Michael Droettboom <md...@st...> wrote:

>
>
>
>
>
>
>
>
> * Matplotlib is a widely used, well regarded, and powerful visualization
> library that has dominated the Python visualization stack for over a
> decade. However, to maintain that position, matplotlib must continue to
> evolve. Complementary or alternative libraries are appearing at an
> increasing rate, including browser-based plotting and GPU acceleration. To
> maintain its leadership position for the next decade, Matplotlib must
> interface with these alternatives while simultaneously expanding its
> capabilities and becoming easier to use and learn. Matplotlib’s large
> existing user base (greater than 50,000) means that new developments need
> to be carefully balanced with maintaining existing interfaces.  With the
> large user and code base comes a significant maintenance and user-support
> burden.  These responsibilities currently account for a majority of the
> core-developer time spent on matplotlib and has resulted in both the code
> base and community being in a healthier state than ever before. Even 6
> years ago there was no automated testing to speak of and the number of
> contributors continues to soar on github. However, this effort is, for the
> most part, done on a volunteer basis in the nights and weekends of the core
> developers.  To go beyond this maintenance level—to make step-change
> improvements for the benefit of matplotlib’s users—will require funding for
> full-time developers. Inspired and encouraged by the example of IPython, we
> would like to begin the process of fundraising. Managing funding on the
> needed scale is a complex and time-consuming process.  Thankfully,
> NumFOCUS, a 501(c)3 charity organisation co-founded by John Hunter, offers
> a fiscal sponsorship agreement to minimize the administrative and legal
> burden on open source projects. We would like to enlist NumFOCUS as our
> agents in all legal and financial matters, including banking, accepting
> donations as a non-profit, payroll, and access to legal counsel.  As part
> of the agreement, NumFOCUS would charge a percentage of all funds raised to
> cover their costs.  The full text of the agreement is attached. To comply
> with the legal and accounting requirements of a non-profit, matplotlib
> needs to form an administrative body to interact with NumFOCUS and direct
> the disbursement of any funds.  The proposed initial members of the body,
> are myself (Mike Droettboom), Eric Firing, Phil Elson, and Thomas Caswell,
> with Thomas acting as the point of contact with NumFOCUS. In practice,
> signing an FSA will have very little impact on the matplotlib project
> itself - it will still be BSD-licensed and community-driven as it has
> always been, and the only motivation for doing this is to give us an
> opportunity to apply for funding to do more work on matplotlib. We'd like
> to canvas the community's opinion on the matter, but to put a concrete
> timeline on the discussion, we would like to propose signing an FSA with
> NumFOCUS in 3 weeks (Feb 10th 2015) unless there is a major community
> discomfort with us doing so. Cheers, Michael Droettboom *
>
> --
> Michael Droettboom
> Science Software Branch
> Space Telescope Science Institute
> http://www.droettboom.com
>
>
>
> ------------------------------------------------------------------------------
> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
> GigeNET is offering a free month of service with a new server in Ashburn.
> Choose from 2 high performing configs, both with 100TB of bandwidth.
> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
> http://p.sf.net/sfu/gigenet
> _______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
>


-- 

Christopher Barker, Ph.D.
Oceanographer

Emergency Response Division
NOAA/NOS/OR&R            (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
Seattle, WA  98115       (206) 526-6317   main reception

Chr...@no...

+1

Best,
-Michiel

--------------------------------------------
On Wed, 1/21/15, Michael Droettboom <md...@st...> wrote:

 Subject: [Matplotlib-users] Matplotlib and Numfocus Fiscal Sponsorship	Agreement (FSA)
 To: "mat...@li..." <mat...@li...>, "matplotlib-users" <mat...@li...>
 Date: Wednesday, January 21, 2015, 12:48 AM
 
 
   
 
     
   
   
     
     
       Matplotlib
           is a widely used, well regarded, and powerful
 visualization
           library that has dominated the Python
 visualization stack for
           over a decade. However, to maintain that position,
 matplotlib
           must continue to evolve. Complementary or
 alternative
           libraries are appearing at an increasing rate,
 including
           browser-based plotting and GPU acceleration. To
 maintain its
           leadership position for the next decade,
 Matplotlib must
           interface with these alternatives while
 simultaneously
           expanding its capabilities and becoming easier to
 use and
           learn.
       
 
       Matplotlib’s
           large existing user base (greater than 50,000)
 means that new
           developments need to be carefully balanced with
 maintaining
           existing interfaces.  With the large user and
 code base comes
           a significant maintenance and user-support burden.
  These
           responsibilities currently account for a majority
 of the
           core-developer time spent on matplotlib and has
 resulted in
           both the code base and community being in a
 healthier state
           than ever before. Even 6 years ago there was no
 automated
           testing to speak of and the number of contributors
 continues
           to soar on github. However, this effort is, for
 the most part,
           done on a volunteer basis in the nights and
 weekends of the
           core developers.  To go beyond this maintenance
 level—to make
           step-change improvements for the benefit of
 matplotlib’s
           users—will require funding for full-time
 developers. Inspired
           and encouraged by the example of IPython, we would
 like to
           begin the process of fundraising.
       
 
       Managing
           funding on the needed scale is a complex and
 time-consuming
           process.  Thankfully, NumFOCUS, a 501(c)3 charity
 organisation
           co-founded by John Hunter, offers a fiscal
 sponsorship
           agreement to minimize the administrative and legal
 burden on
           open source projects. We would like to enlist
 NumFOCUS as our
           agents in all legal and financial matters,
 including banking,
           accepting donations as a non-profit, payroll, and
 access to
           legal counsel.  As part of the agreement,
 NumFOCUS would
           charge a percentage of all funds raised to cover
 their costs.
            The full text of the agreement is
 attached.
       
 
       To
           comply with the legal and accounting requirements
 of a
           non-profit, matplotlib needs to form an
 administrative body to
           interact with NumFOCUS and direct the disbursement
 of any
           funds.  The proposed initial members of the body,
 are myself
           (Mike Droettboom), Eric Firing, Phil Elson, and
 Thomas
           Caswell, with Thomas acting as the point of
 contact with
           NumFOCUS.
       
 
       In
           practice, signing an FSA will have very little
 impact on the
           matplotlib project itself - it will still be
 BSD-licensed and
           community-driven as it has always been, and the
 only
           motivation for doing this is to give us an
 opportunity to
           apply for funding to do more work on matplotlib.
 We'd like to
           canvas the community's opinion on the matter,
 but to put a
           concrete timeline on the discussion, we would like
 to propose
           signing an FSA with NumFOCUS in 3 weeks (Feb 10th
 2015) unless
           there is a major community discomfort with us
 doing so. 
 
         
       
 
           Cheers,
 
           Michael Droettboom
 
         
     
 
     
     -- 
 Michael Droettboom
 Science Software Branch
 Space Telescope Science Institute
 
 http://www.droettboom.com
   
 
 
 -----Inline Attachment Follows-----
 
 ------------------------------------------------------------------------------
 New Year. New Location. New Benefits. New Data Center in
 Ashburn, VA.
 GigeNET is offering a free month of service with a new
 server in Ashburn.
 Choose from 2 high performing configs, both with 100TB of
 bandwidth.
 Higher redundancy.Lower latency.Increased
 capacity.Completely compliant.
 http://p.sf.net/sfu/gigenet
 -----Inline Attachment Follows-----
 
 _______________________________________________
 Matplotlib-users mailing list
 Mat...@li...
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users
 

Thanks Benjamin!!

In fact, this folder was inside .cache/matplotlib
I have removed the entire content, and know matplotlib seems to recognize
Arial font.

Cheers,
Arnaldo

You might need to delete the font cache (usually in ~/.matplotlib). Fonts
installed after matplotlib is first used are often never recognized.

On Tue, Jan 20, 2015 at 3:50 PM, xkryptor <xkr...@gm...> wrote:

> Even I have the same problem. The fonts are installed on my system, but
> matplotlib does not load them.
>
> On Tue, Jan 20, 2015 at 10:57 PM, Arnaldo Russo <arn...@gm...>
> wrote:
>
>> I have Arial font installed in my system:
>>
>>     /usr/share/fonts/truetype/msttcorefonts/Arial_Bold_Italic.ttf
>>     /usr/share/fonts/truetype/msttcorefonts/arialbi.ttf
>>     /usr/share/fonts/truetype/msttcorefonts/Arial_Bold.ttf
>>     /usr/share/fonts/truetype/msttcorefonts/arial.ttf
>>     /usr/share/fonts/truetype/msttcorefonts/ariali.ttf
>>     /usr/share/fonts/truetype/msttcorefonts/arialbd.ttf
>>     /usr/share/fonts/truetype/msttcorefonts/Arial.ttf
>>     /usr/share/fonts/truetype/msttcorefonts/Arial_Italic.ttf
>>     /usr/share/fonts/truetype/msttcorefonts/Arial_Black.ttf
>>     /usr/share/xbmc/media/Fonts/arial.ttf
>>     /usr/local/share/texmf/fonts/tfm/urw/arial
>>     /usr/local/share/texmf/fonts/afm/urw/arial
>>     /usr/local/share/texmf/fonts/vf/urw/arial
>>     /usr/local/share/texmf/fonts/type1/urw/arial
>>
>> I have changed inside my matplotlibrc including the line:
>>
>>     font.sans-serif      : Arial
>>
>> If I check inside IPython:
>>
>>     import matplotlib.pyplot as plt
>>     plt.plot([1,2,3,4,5,], '*')
>>     t = plt.ylabel(r'1, 2, 3, 8, 9 6 11 Testing Label')
>>     print(t.get_fontname())
>>
>> The output is:
>>
>>     myhome/local/lib/python2.7/site-packages/matplotlib-1.4.2-py2.7-linux-
>>     x86_64.egg/matplotlib/font_manager.py:1279: UserWarning: findfont:
>> Font
>>     family [u'sans-serif'] not found. Falling back to Bitstream Vera Sans
>>     (prop.get_family(), self.defaultFamily[fontext]))
>>
>>     Bitstream Vera Sans
>>
>> How can I change this behavior and use Arial fonts for all of my plots?
>> Why Arial font is not loaded?
>>
>> It is interesting, that if I use Seaborn, it returns `Liberation Sans`
>> where the first font (inside internal font list) is Arial and the second is
>> `Liberation Sans`.
>>
>> I have also tried to set the full path of my Arial font:
>>
>>     import matplotlib as mpl
>>     import matplotlib.pyplot as plt
>>     import matplotlib.font_manager as font_manager
>>     import seaborn as sns
>>
>>     path = '/usr/share/fonts/truetype/msttcorefonts/Arial.ttf'
>>     prop = font_manager.FontProperties(fname=path)
>>     mpl.rcParams['font.family'] = prop.get_name()
>>
>>
>>     sns.set_style("whitegrid")
>>     plt.plot([1,2,3,4,5,], '*')
>>     t = plt.ylabel(r'1, 2, 3, 8, 9 6 11 Testing Label')
>>     print(t.get_fontname())
>>
>> It returns `Liberation Sans`. Any clues? (aka http://goo.gl/V511ux) =]
>>
>>
>> Cheers,
>> Arnaldo.
>>
>>
>> ------------------------------------------------------------------------------
>> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
>> GigeNET is offering a free month of service with a new server in Ashburn.
>> Choose from 2 high performing configs, both with 100TB of bandwidth.
>> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
>> http://p.sf.net/sfu/gigenet
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
>
> ------------------------------------------------------------------------------
> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
> GigeNET is offering a free month of service with a new server in Ashburn.
> Choose from 2 high performing configs, both with 100TB of bandwidth.
> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
> http://p.sf.net/sfu/gigenet
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Even I have the same problem. The fonts are installed on my system, but
matplotlib does not load them.

On Tue, Jan 20, 2015 at 10:57 PM, Arnaldo Russo <arn...@gm...>
wrote:

> I have Arial font installed in my system:
>
>     /usr/share/fonts/truetype/msttcorefonts/Arial_Bold_Italic.ttf
>     /usr/share/fonts/truetype/msttcorefonts/arialbi.ttf
>     /usr/share/fonts/truetype/msttcorefonts/Arial_Bold.ttf
>     /usr/share/fonts/truetype/msttcorefonts/arial.ttf
>     /usr/share/fonts/truetype/msttcorefonts/ariali.ttf
>     /usr/share/fonts/truetype/msttcorefonts/arialbd.ttf
>     /usr/share/fonts/truetype/msttcorefonts/Arial.ttf
>     /usr/share/fonts/truetype/msttcorefonts/Arial_Italic.ttf
>     /usr/share/fonts/truetype/msttcorefonts/Arial_Black.ttf
>     /usr/share/xbmc/media/Fonts/arial.ttf
>     /usr/local/share/texmf/fonts/tfm/urw/arial
>     /usr/local/share/texmf/fonts/afm/urw/arial
>     /usr/local/share/texmf/fonts/vf/urw/arial
>     /usr/local/share/texmf/fonts/type1/urw/arial
>
> I have changed inside my matplotlibrc including the line:
>
>     font.sans-serif      : Arial
>
> If I check inside IPython:
>
>     import matplotlib.pyplot as plt
>     plt.plot([1,2,3,4,5,], '*')
>     t = plt.ylabel(r'1, 2, 3, 8, 9 6 11 Testing Label')
>     print(t.get_fontname())
>
> The output is:
>
>     myhome/local/lib/python2.7/site-packages/matplotlib-1.4.2-py2.7-linux-
>     x86_64.egg/matplotlib/font_manager.py:1279: UserWarning: findfont: Font
>     family [u'sans-serif'] not found. Falling back to Bitstream Vera Sans
>     (prop.get_family(), self.defaultFamily[fontext]))
>
>     Bitstream Vera Sans
>
> How can I change this behavior and use Arial fonts for all of my plots?
> Why Arial font is not loaded?
>
> It is interesting, that if I use Seaborn, it returns `Liberation Sans`
> where the first font (inside internal font list) is Arial and the second is
> `Liberation Sans`.
>
> I have also tried to set the full path of my Arial font:
>
>     import matplotlib as mpl
>     import matplotlib.pyplot as plt
>     import matplotlib.font_manager as font_manager
>     import seaborn as sns
>
>     path = '/usr/share/fonts/truetype/msttcorefonts/Arial.ttf'
>     prop = font_manager.FontProperties(fname=path)
>     mpl.rcParams['font.family'] = prop.get_name()
>
>
>     sns.set_style("whitegrid")
>     plt.plot([1,2,3,4,5,], '*')
>     t = plt.ylabel(r'1, 2, 3, 8, 9 6 11 Testing Label')
>     print(t.get_fontname())
>
> It returns `Liberation Sans`. Any clues? (aka http://goo.gl/V511ux) =]
>
>
> Cheers,
> Arnaldo.
>
>
> ------------------------------------------------------------------------------
> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
> GigeNET is offering a free month of service with a new server in Ashburn.
> Choose from 2 high performing configs, both with 100TB of bandwidth.
> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
> http://p.sf.net/sfu/gigenet
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

I have Arial font installed in my system:

    /usr/share/fonts/truetype/msttcorefonts/Arial_Bold_Italic.ttf
    /usr/share/fonts/truetype/msttcorefonts/arialbi.ttf
    /usr/share/fonts/truetype/msttcorefonts/Arial_Bold.ttf
    /usr/share/fonts/truetype/msttcorefonts/arial.ttf
    /usr/share/fonts/truetype/msttcorefonts/ariali.ttf
    /usr/share/fonts/truetype/msttcorefonts/arialbd.ttf
    /usr/share/fonts/truetype/msttcorefonts/Arial.ttf
    /usr/share/fonts/truetype/msttcorefonts/Arial_Italic.ttf
    /usr/share/fonts/truetype/msttcorefonts/Arial_Black.ttf
    /usr/share/xbmc/media/Fonts/arial.ttf
    /usr/local/share/texmf/fonts/tfm/urw/arial
    /usr/local/share/texmf/fonts/afm/urw/arial
    /usr/local/share/texmf/fonts/vf/urw/arial
    /usr/local/share/texmf/fonts/type1/urw/arial

I have changed inside my matplotlibrc including the line:

    font.sans-serif      : Arial

If I check inside IPython:

    import matplotlib.pyplot as plt
    plt.plot([1,2,3,4,5,], '*')
    t = plt.ylabel(r'1, 2, 3, 8, 9 6 11 Testing Label')
    print(t.get_fontname())

The output is:

    myhome/local/lib/python2.7/site-packages/matplotlib-1.4.2-py2.7-linux-
    x86_64.egg/matplotlib/font_manager.py:1279: UserWarning: findfont: Font
    family [u'sans-serif'] not found. Falling back to Bitstream Vera Sans
    (prop.get_family(), self.defaultFamily[fontext]))

    Bitstream Vera Sans

How can I change this behavior and use Arial fonts for all of my plots?
Why Arial font is not loaded?

It is interesting, that if I use Seaborn, it returns `Liberation Sans`
where the first font (inside internal font list) is Arial and the second is
`Liberation Sans`.

I have also tried to set the full path of my Arial font:

    import matplotlib as mpl
    import matplotlib.pyplot as plt
    import matplotlib.font_manager as font_manager
    import seaborn as sns

    path = '/usr/share/fonts/truetype/msttcorefonts/Arial.ttf'
    prop = font_manager.FontProperties(fname=path)
    mpl.rcParams['font.family'] = prop.get_name()


    sns.set_style("whitegrid")
    plt.plot([1,2,3,4,5,], '*')
    t = plt.ylabel(r'1, 2, 3, 8, 9 6 11 Testing Label')
    print(t.get_fontname())

It returns `Liberation Sans`. Any clues? (aka http://goo.gl/V511ux) =]


Cheers,
Arnaldo.

There are fundamental limitations of mplot3d that would make such a feature
a disaster. You can plot a single surface just fine, but if you try
plotting multiple surfaces, they do not get composed correctly (what I have
dubbed the "Escher effect"). That problem would have to be solved first. In
the past 5 years, I have yet to figure out a solution that doesn't utterly
upend matplotlib.

That doesn't mean that it isn't solvable, I just haven't figured it out,
nor do I really have that much motivation or resources to figure it out.
There was a discussion thread a few months back that raised a couple ideas
that might be promising, though, if you want to look take a stab at the
problem.

On Tue, Jan 20, 2015 at 10:49 AM, Nils Wagner <ni...@go...>
wrote:

>
> I am aware of the gallery but I didn't find a similar picture I am looking
> for.
>
> If something is *comprehensive*, it is *complete* and includes everything
> that is important.
>
> Shall I create a feature request for isosurface plots in matplotlib ?
>
> http://en.wikipedia.org/wiki/Isosurface
>
>
> On Tue, Jan 20, 2015 at 4:27 PM, Paul Hobson <pmh...@gm...> wrote:
>
>> The gallery had a comprehensive set of available three dimensional plots,
>> I think.
>>
>> http://matplotlib.org/gallery.html#mplot3d
>> On Tue, Jan 20, 2015 at 01:19 Nils Wagner <ni...@go...> wrote:
>>
>>> Hi all,
>>>
>>> I found
>>>
>>>
>>> http://stackoverflow.com/questions/9419451/3d-contour-plot-from-data-using-mayavi-python
>>>
>>> Is there something similar in matplotlib ?
>>>
>>>
>>> Nils
>>>
>>>
>>> ------------------------------------------------------------
>>> ------------------
>>> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
>>> GigeNET is offering a free month of service with a new server in Ashburn.
>>> Choose from 2 high performing configs, both with 100TB of bandwidth.
>>> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
>>> http://p.sf.net/sfu/gigenet______________________________
>>> _________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>
>
>
> ------------------------------------------------------------------------------
> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
> GigeNET is offering a free month of service with a new server in Ashburn.
> Choose from 2 high performing configs, both with 100TB of bandwidth.
> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
> http://p.sf.net/sfu/gigenet
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

I am aware of the gallery but I didn't find a similar picture I am looking
for.

If something is *comprehensive*, it is *complete* and includes everything
that is important.

Shall I create a feature request for isosurface plots in matplotlib ?

http://en.wikipedia.org/wiki/Isosurface


On Tue, Jan 20, 2015 at 4:27 PM, Paul Hobson <pmh...@gm...> wrote:

> The gallery had a comprehensive set of available three dimensional plots,
> I think.
>
> http://matplotlib.org/gallery.html#mplot3d
> On Tue, Jan 20, 2015 at 01:19 Nils Wagner <ni...@go...> wrote:
>
>> Hi all,
>>
>> I found
>>
>>
>> http://stackoverflow.com/questions/9419451/3d-contour-plot-from-data-using-mayavi-python
>>
>> Is there something similar in matplotlib ?
>>
>>
>> Nils
>>
>>
>> ------------------------------------------------------------
>> ------------------
>> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
>> GigeNET is offering a free month of service with a new server in Ashburn.
>> Choose from 2 high performing configs, both with 100TB of bandwidth.
>> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
>> http://p.sf.net/sfu/gigenet______________________________
>> _________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>

*

Matplotlib is a widely used, well regarded, and powerful visualization 
library that has dominated the Python visualization stack for over a 
decade. However, to maintain that position, matplotlib must continue to 
evolve. Complementary or alternative libraries are appearing at an 
increasing rate, including browser-based plotting and GPU acceleration. 
To maintain its leadership position for the next decade, Matplotlib must 
interface with these alternatives while simultaneously expanding its 
capabilities and becoming easier to use and learn.


Matplotlib’s large existing user base (greater than 50,000) means that 
new developments need to be carefully balanced with maintaining existing 
interfaces.  With the large user and code base comes a significant 
maintenance and user-support burden.  These responsibilities currently 
account for a majority of the core-developer time spent on matplotlib 
and has resulted in both the code base and community being in a 
healthier state than ever before. Even 6 years ago there was no 
automated testing to speak of and the number of contributors continues 
to soar on github. However, this effort is, for the most part, done on a 
volunteer basis in the nights and weekends of the core developers.  To 
go beyond this maintenance level—to make step-change improvements for 
the benefit of matplotlib’s users—will require funding for full-time 
developers. Inspired and encouraged by the example of IPython, we would 
like to begin the process of fundraising.


Managing funding on the needed scale is a complex and time-consuming 
process.  Thankfully, NumFOCUS, a 501(c)3 charity organisation 
co-founded by John Hunter, offers a fiscal sponsorship agreement to 
minimize the administrative and legal burden on open source projects. We 
would like to enlist NumFOCUS as our agents in all legal and financial 
matters, including banking, accepting donations as a non-profit, 
payroll, and access to legal counsel.  As part of the agreement, 
NumFOCUS would charge a percentage of all funds raised to cover their 
costs.  The full text of the agreement is attached.


To comply with the legal and accounting requirements of a non-profit, 
matplotlib needs to form an administrative body to interact with 
NumFOCUS and direct the disbursement of any funds.  The proposed initial 
members of the body, are myself (Mike Droettboom), Eric Firing, Phil 
Elson, and Thomas Caswell, with Thomas acting as the point of contact 
with NumFOCUS.


In practice, signing an FSA will have very little impact on the 
matplotlib project itself - it will still be BSD-licensed and 
community-driven as it has always been, and the only motivation for 
doing this is to give us an opportunity to apply for funding to do more 
work on matplotlib. We'd like to canvas the community's opinion on the 
matter, but to put a concrete timeline on the discussion, we would like 
to propose signing an FSA with NumFOCUS in 3 weeks (Feb 10th 2015) 
unless there is a major community discomfort with us doing so.


Cheers,
Michael Droettboom

*

-- 
Michael Droettboom
Science Software Branch
Space Telescope Science Institute

http://www.droettboom.com

The gallery had a comprehensive set of available three dimensional plots, I
think.

http://matplotlib.org/gallery.html#mplot3d
On Tue, Jan 20, 2015 at 01:19 Nils Wagner <ni...@go...> wrote:

> Hi all,
>
> I found
>
>
> http://stackoverflow.com/questions/9419451/3d-contour-plot-from-data-using-mayavi-python
>
> Is there something similar in matplotlib ?
>
>
> Nils
>
>
> ------------------------------------------------------------
> ------------------
> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
> GigeNET is offering a free month of service with a new server in Ashburn.
> Choose from 2 high performing configs, both with 100TB of bandwidth.
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> http://p.sf.net/sfu/gigenet_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

I just sent a similar question in last week. This is basically the functionality I'm looking for too. In MATLAB this can be done with the trisurf plotting function. Matplotlib has a plot_trisurf method for an axis provided by loading the mplot3d module, but as far as I can tell, you can either give a surface a constant color or you can choose a cmap and have it color the surface according to the Z values of surface points.

If anyone knows of a way to make Philippe's plot with Matplotlib, I'd love to know.

Byron Boulton

From: Philippe Piot [mailto:phi...@gm...] 
Sent: Saturday, January 17, 2015 1:25 PM
To: mat...@li...
Subject: [Matplotlib-users] Display a scalar as color over a surface

> Hello All,
>   I have a scalar function (a potential) defined on a 3-dimensional
> cartesian space V(x,y,z) and an arbitrary surface (a boundary) set by
> the function f(x,y,z)=a. I would like to paint the value of V(x,y,z)
> on the surface defined by f in the (x,y,z) domain.
>   Specifically I was thinking of rewriting f in the form of Z=f(X,Y)
> and plot it with surface plot
>    plot_surface(X, Y, Z, cmap=cm.coolwarm)
> This give me my boundary surface but its color is set by Z while I
> would like if to be set by my other function V evaluated on the
> surface.
>  Please let me know if any of you have a good suggestion. Thank you,
> -- Philippe.

Hi all,

I found

http://stackoverflow.com/questions/9419451/3d-contour-plot-from-data-using-mayavi-python

Is there something similar in matplotlib ?


Nils

Hello All,
  I have a scalar function (a potential) defined on a 3-dimensional
cartesian space V(x,y,z) and an arbitrary surface (a boundary) set by
the function f(x,y,z)=a. I would like to paint the value of V(x,y,z)
on the surface defined by f in the (x,y,z) domain.
  Specifically I was thinking of rewriting f in the form of Z=f(X,Y)
and plot it with surface plot
   plot_surface(X, Y, Z, cmap=cm.coolwarm)
This give me my boundary surface but its color is set by Z while I
would like if to be set by my other function V evaluated on the
surface.

  Please let me know if any of you have a good suggestion. Thank you,
-- Philippe.

Hi all,

Assume that we have knowledge of pressure values at certain irregular grid
points in 3D, i.e.

p_i(x_i, y_i, z_i)      i = 1,(1),N

where N denotes the number of grid points.

Usually N = 7e5.

Is it possible to create an isobar plot using matplotlib ?

How can I achieve it ?

Nils

I often have Electromagnetic surface current data which I use MATLAB's trisurf function to plot. Since the surfaces are 3-dimensional I need a trisurf plotting tool which lets me specify the color of each triangle/vertex. MATLAB's trisurf function allows me to do that by passing it an array of colors (http://www.mathworks.com/help/matlab/ref/trisurf.html). 

Matplotlib's plot_trisurf from mplot3d only seems to allow me to specify one constant color for the entire trisurf plot or to color the triangles according to the z-coordinates. Am I missing something about how to use plot_trisurf or is this a functionality not yet implemented in matplotlib? 

Byron Boulton

Thanks Max!

I was planning to add a more interactive interface, really similar to what
you're suggesting. I haven't gotten around to it, but hopefully, I'll have
some time to play around with that.

On Thu, Jan 8, 2015 at 4:56 PM, Maximilian Albert <
max...@gm...> wrote:

> Hi Tony,
>
> This is awesome. Great work!
>
> I was wondering, is there an easy way to cycle through all available
> styles for a given plot? For instance, clicking on the top left plot
> displays a maximized image of the "bmh" style. It would be great if one
> could press arrow-down (say)  to cycle through the other styles
> "dark_background", "fivethirtyeight", etc. for a quick comparison.
>
> Cheers,
> Max
>
>
> 2015-01-06 4:42 GMT+00:00 Tony Yu <ts...@gm...>:
>
>> I've been playing around with learning Javascript lately. As part of the
>> process, I created a Flask app to build a gallery for matplotlib style
>> sheets:
>>
>> https://github.com/tonysyu/matplotlib-style-gallery
>>
>> If you run that locally, you can actually input styles, either with a URL
>> to a *.mplstyle file or with matplotlibrc commands. Here's a static version
>> without the custom inputs:
>>
>> http://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html
>>
>> Ideally, I'd get this into a form that could be submitted as a PR for the
>> matplotlib website, but I'll need a bit more spare time to learn some more
>> web development (sessions, client storage, etc).
>>
>> Cheers!
>> -Tony
>>
>>
>> ------------------------------------------------------------------------------
>> Dive into the World of Parallel Programming! The Go Parallel Website,
>> sponsored by Intel and developed in partnership with Slashdot Media, is
>> your
>> hub for all things parallel software development, from weekly thought
>> leadership blogs to news, videos, case studies, tutorials and more. Take a
>> look and join the conversation now. http://goparallel.sourceforge.net
>> _______________________________________________
>> Matplotlib-devel mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>
>>
>

Hi,

I'm trying to see whether I can use MPL to create interactive widgets for
 my robotics application. This way, I can synthesize a widget for
 interaction & visualization which would be just really cool.

Thing though is that since this widget is  interactive, getting a decent 
FPS ( 30+ ) is key. I was thrilled to read this  informative post on
 MPL's impressive rendering performance [1] by Bastian Bechtold, 
showing about 500 FPS, on the Qt4Agg backend.

Inspired by this good news and the great examples / video [2,3], I ran
Bastian's code. However, I could not replicate the fast performance
and running that code ( osx 10.10, anaconda with MPL 1.4.2 ) I'm getting
about 30 FPS.

That kind of puts my plans on hold for now.
How can I help to verify that this might be a performance regression?

Thanks for MPL!

-jelle

[1] http://bastibe.de/2013-05-30-speeding-up-matplotlib.html
[2] https://vimeo.com/63260224
[3] https://github.com/jakevdp/matplotlib_pydata2013

Tony! This is very cool. Bravo.

On Mon, Jan 5, 2015 at 8:42 PM, Tony Yu <ts...@gm...> wrote:

> I've been playing around with learning Javascript lately. As part of the
> process, I created a Flask app to build a gallery for matplotlib style
> sheets:
>
> https://github.com/tonysyu/matplotlib-style-gallery
>
> If you run that locally, you can actually input styles, either with a URL
> to a *.mplstyle file or with matplotlibrc commands. Here's a static version
> without the custom inputs:
>
> http://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html
>
> Ideally, I'd get this into a form that could be submitted as a PR for the
> matplotlib website, but I'll need a bit more spare time to learn some more
> web development (sessions, client storage, etc).
>
> Cheers!
> -Tony
>
>
> ------------------------------------------------------------------------------
> Dive into the World of Parallel Programming! The Go Parallel Website,
> sponsored by Intel and developed in partnership with Slashdot Media, is
> your
> hub for all things parallel software development, from weekly thought
> leadership blogs to news, videos, case studies, tutorials and more. Take a
> look and join the conversation now. http://goparallel.sourceforge.net
> _______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>
>

I've been playing around with learning Javascript lately. As part of the
process, I created a Flask app to build a gallery for matplotlib style
sheets:

https://github.com/tonysyu/matplotlib-style-gallery

If you run that locally, you can actually input styles, either with a URL
to a *.mplstyle file or with matplotlibrc commands. Here's a static version
without the custom inputs:

http://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html

Ideally, I'd get this into a form that could be submitted as a PR for the
matplotlib website, but I'll need a bit more spare time to learn some more
web development (sessions, client storage, etc).

Cheers!
-Tony

Still though, I thought we had enough logic checks to prevent this sort of
>> error. I see you are using Python 2.5, which is older than what we
>> currently support. Which version of matplotlib are you using?
>>
>
> I'm using matplotlib 1.1.0. I could try upgrading.
>

Ben and others,

OK, I tried upgrading to Python 2.6 and Matplotlib 1.4.2. The problem with
the singular matrix goes away!  But...

...But now I have no patch shown on the plot. This is the function I am
using now to add a patch (editing to just keep the MPL relevant
stuff)...maybe this is no longer a good way?:

    def AddPatch(self,):
                ax = self.subplot
                verts = [
                    (start, y-scaling_value), # left, bottom
                    (start, y+scaling_value), # left, top
                    (stop, y+scaling_value), # right, top
                    (stop, y-scaling_value), # right, bottom
                    (0., 0.), # ignored
                    ]
                codes = [Path.MOVETO,
                         Path.LINETO,
                         Path.LINETO,
                         Path.LINETO,
                         Path.CLOSEPOLY,
                         ]

                x = [start, stop]              # x range of box (in data
coordinates)
                height = 12 # of box in device coords (pixels)
                path = mpath.Path([[x[0], -height], [x[1], -height],
                   [x[1], height],  [x[0], height],
                   [x[0], -height]])

                #USING THE NEW TRANSFORMS
                fixed_pt_trans = FixedPointOffsetTransform(ax.transData,
(0, y))
                xdata_yfixed =
mtrans.blended_transform_factory(ax.transData, fixed_pt_trans)

                patch = patches.PathPatch(path, transform=xdata_yfixed,
facecolor=color,alpha=0.4, lw=1, edgecolor='grey')

                ax.add_patch(patch)