matplotlib-users Mailing List for matplotlib

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.
> 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 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