matplotlib-users Mailing List for matplotlib

Hi, I would like to set the color of the different plots with seaborn but I
don't find examples of this kind on the tutorial.
How could I modify this code? the zip() arguments are lists of the same
dimension.

zipPARA = zip(As, GAMMAs, EcutS, Bees, angles)

lotgr = plt.figure()

axius = lotgr.add_subplot(111)

for a1,b1,c1,d1,angol in zipPARA:

        fittedval = spock(logeels, a1, b1, c1, d1)

        angli = str(angol)

        imig = axius.plot(logeels, fittedval, label=angli)

axius.legend(bbox_to_anchor=(1.05, 1), loc=9, borderaxespad=0.)

lotgr.canvas.draw()

thanks

Gabriele


2014-02-17 14:46 GMT-05:00 Paul Hobson <pmh...@gm...>:

> Adam,
>
> Look into the seaborn project:
>
> http://nbviewer.ipython.org/github/mwaskom/seaborn/blob/master/examples/aesthetics.ipynb
>
> it's easy enough to define your own color palettes or select existing ones.
> -paul
>
>
> On Mon, Feb 17, 2014 at 11:41 AM, Adam Hughes <hug...@gm...>wrote:
>
>> I'm wondering if the matplotlib API is designed in such a way that
>> choosing a color schema could be done at import time.  I know that the
>> entire plot style can be changed in one call (eg put plt.xkcd() at the
>> beginning of your code), so I wander if colorblind-compatible colors could
>> be loaded in a similar, quick way.
>>
>>
>> On Mon, Feb 17, 2014 at 1:52 PM, ChaoYue <cha...@gm...> wrote:
>>
>>> Hi Gabriele,
>>>
>>> I'm afraid you have to put the numbers by yourself using the plt.text,
>>> as in an example:
>>> a = np.arange(10)
>>> b = np.tile(a,(10,1))
>>> c = np.tile(a[:,np.newaxis],(10)) + b
>>> plot(c)
>>> for i in range(10):
>>>     plt.text(5,c[i][5],str(i))
>>>
>>>
>>> I've askd by a review to use the colorblind compatible colors when
>>> trying to submit a paper,
>>> and I find a website below:
>>> http://jfly.iam.u-tokyo.ac.jp/color/
>>>
>>> I put some RGB numbers for some colors here if you feel like to have a
>>> try:
>>> CCC =
>>> {
>>>
>>> 'Black':np.array([0,0,0])/255.,
>>>
>>> 'Orange':np.array([230,159,0])/255.,
>>>
>>> 'Skyblue':np.array([85,180,233])/255.,
>>>
>>> 'BluishGreen':np.array([0,158,115])/255.,
>>>
>>> 'Yellow':np.array([240,228,66])/255.,
>>>
>>> 'Blue':np.array([0,114,178])/255.,
>>>
>>> 'Vermilion':np.array([213,94,0])/255.,
>>>
>>> 'ReddishPurple':np.array([204,121,167])/255.
>>>        }
>>>
>>> Cheers,
>>>
>>> Chao
>>>
>>>
>>>
>>> On Mon, Feb 17, 2014 at 7:17 PM, Gabriele Brambilla [via matplotlib] <[hidden
>>> email] <http://user/SendEmail.jtp?type=node&node=42886&i=0>> wrote:
>>>
>>>> Hi,
>>>> I'm dealing with a guy that is colorblind.
>>>> Have you got any suggestion on how could I show a plot like the one
>>>> attached to him?
>>>> Is there an option in pyplot that write little numbers near the curves
>>>> instead of colors?
>>>>
>>>> thanks
>>>>
>>>> Gabriele
>>>>
>>>> ------------------------------------------------------------------------------
>>>>
>>>> Managing the Performance of Cloud-Based Applications
>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>> Read the Whitepaper.
>>>>
>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>>>>
>>>>
>>>> ------------------------------
>>>>  If you reply to this email, your message will be added to the
>>>> discussion below:
>>>> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>>>>  To start a new topic under matplotlib - users, email [hidden email]<http://user/SendEmail.jtp?type=node&node=42886&i=1>
>>>> To unsubscribe from matplotlib, click here.
>>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>>
>>>
>>>
>>>
>>> --
>>>
>>> ***********************************************************************************
>>> Chao YUE
>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>>> UMR 1572 CEA-CNRS-UVSQ
>>> Batiment 712 - Pe 119
>>> 91191 GIF Sur YVETTE Cedex
>>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>>
>>> ************************************************************************************
>>>
>>> ------------------------------
>>> View this message in context: Re: colorbllind problem<http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html>
>>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Managing the Performance of Cloud-Based Applications
>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>> Read the Whitepaper.
>>>
>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>>
>> ------------------------------------------------------------------------------
>> Managing the Performance of Cloud-Based Applications
>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>> Read the Whitepaper.
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
>
> ------------------------------------------------------------------------------
> Managing the Performance of Cloud-Based Applications
> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
> Read the Whitepaper.
>
> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

On Mon, Feb 17, 2014 at 1:15 PM, Gabriele Brambilla <
gb....@gm...> wrote:

> Hi,
> I'm dealing with a guy that is colorblind.
> Have you got any suggestion on how could I show a plot like the one
> attached to him?
> Is there an option in pyplot that write little numbers near the curves
> instead of colors?
>

In addition to the other suggestions:  If this is a plot that is viewed on
his computer, you could also build in line picking, so that if the user
mouses over the line, information about that line is shown in the toolbar
or however you want.

On Feb 17, 2014, at 1:15 PM, Gabriele Brambilla <gb....@gm...> wrote:

> Hi,
> I'm dealing with a guy that is colorblind.
> Have you got any suggestion on how could I show a plot like the one attached to him?
> Is there an option in pyplot that write little numbers near the curves instead of colors?
> 
> thanks
> 
> Gabriele

Have you thought about plotting black lines and using different line styles?  You could use very different line styles for lines that are close together such as 108.6 and 144.8 where trying to label the lines with a small number may be difficult.  You might also use different markers for each line.  You could only plot one or two markers if you don't want them cluttering up the lines.

hth,
Scott

Adam,

Look into the seaborn project:
http://nbviewer.ipython.org/github/mwaskom/seaborn/blob/master/examples/aesthetics.ipynb

it's easy enough to define your own color palettes or select existing ones.
-paul


On Mon, Feb 17, 2014 at 11:41 AM, Adam Hughes <hug...@gm...>wrote:

> I'm wondering if the matplotlib API is designed in such a way that
> choosing a color schema could be done at import time.  I know that the
> entire plot style can be changed in one call (eg put plt.xkcd() at the
> beginning of your code), so I wander if colorblind-compatible colors could
> be loaded in a similar, quick way.
>
>
> On Mon, Feb 17, 2014 at 1:52 PM, ChaoYue <cha...@gm...> wrote:
>
>> Hi Gabriele,
>>
>> I'm afraid you have to put the numbers by yourself using the plt.text, as
>> in an example:
>> a = np.arange(10)
>> b = np.tile(a,(10,1))
>> c = np.tile(a[:,np.newaxis],(10)) + b
>> plot(c)
>> for i in range(10):
>>     plt.text(5,c[i][5],str(i))
>>
>>
>> I've askd by a review to use the colorblind compatible colors when trying
>> to submit a paper,
>> and I find a website below:
>> http://jfly.iam.u-tokyo.ac.jp/color/
>>
>> I put some RGB numbers for some colors here if you feel like to have a
>> try:
>> CCC =
>> {
>>
>> 'Black':np.array([0,0,0])/255.,
>>
>> 'Orange':np.array([230,159,0])/255.,
>>
>> 'Skyblue':np.array([85,180,233])/255.,
>>
>> 'BluishGreen':np.array([0,158,115])/255.,
>>
>> 'Yellow':np.array([240,228,66])/255.,
>>
>> 'Blue':np.array([0,114,178])/255.,
>>
>> 'Vermilion':np.array([213,94,0])/255.,
>>
>> 'ReddishPurple':np.array([204,121,167])/255.
>>        }
>>
>> Cheers,
>>
>> Chao
>>
>>
>>
>> On Mon, Feb 17, 2014 at 7:17 PM, Gabriele Brambilla [via matplotlib] <[hidden
>> email] <http://user/SendEmail.jtp?type=node&node=42886&i=0>> wrote:
>>
>>> Hi,
>>> I'm dealing with a guy that is colorblind.
>>> Have you got any suggestion on how could I show a plot like the one
>>> attached to him?
>>> Is there an option in pyplot that write little numbers near the curves
>>> instead of colors?
>>>
>>> thanks
>>>
>>> Gabriele
>>>
>>> ------------------------------------------------------------------------------
>>>
>>> Managing the Performance of Cloud-Based Applications
>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>> Read the Whitepaper.
>>>
>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>>>
>>>
>>> ------------------------------
>>>  If you reply to this email, your message will be added to the
>>> discussion below:
>>> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>>>  To start a new topic under matplotlib - users, email [hidden email]<http://user/SendEmail.jtp?type=node&node=42886&i=1>
>>> To unsubscribe from matplotlib, click here.
>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>
>>
>>
>>
>> --
>>
>> ***********************************************************************************
>> Chao YUE
>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>> UMR 1572 CEA-CNRS-UVSQ
>> Batiment 712 - Pe 119
>> 91191 GIF Sur YVETTE Cedex
>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>
>> ************************************************************************************
>>
>> ------------------------------
>> View this message in context: Re: colorbllind problem<http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html>
>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>
>>
>> ------------------------------------------------------------------------------
>> Managing the Performance of Cloud-Based Applications
>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>> Read the Whitepaper.
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>
>
> ------------------------------------------------------------------------------
> Managing the Performance of Cloud-Based Applications
> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
> Read the Whitepaper.
>
> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

I'm wondering if the matplotlib API is designed in such a way that choosing
a color schema could be done at import time.  I know that the entire plot
style can be changed in one call (eg put plt.xkcd() at the beginning of
your code), so I wander if colorblind-compatible colors could be loaded in
a similar, quick way.


On Mon, Feb 17, 2014 at 1:52 PM, ChaoYue <cha...@gm...> wrote:

> Hi Gabriele,
>
> I'm afraid you have to put the numbers by yourself using the plt.text, as
> in an example:
> a = np.arange(10)
> b = np.tile(a,(10,1))
> c = np.tile(a[:,np.newaxis],(10)) + b
> plot(c)
> for i in range(10):
>     plt.text(5,c[i][5],str(i))
>
>
> I've askd by a review to use the colorblind compatible colors when trying
> to submit a paper,
> and I find a website below:
> http://jfly.iam.u-tokyo.ac.jp/color/
>
> I put some RGB numbers for some colors here if you feel like to have a try:
> CCC =
> {
>
> 'Black':np.array([0,0,0])/255.,
>
> 'Orange':np.array([230,159,0])/255.,
>
> 'Skyblue':np.array([85,180,233])/255.,
>
> 'BluishGreen':np.array([0,158,115])/255.,
>
> 'Yellow':np.array([240,228,66])/255.,
>
> 'Blue':np.array([0,114,178])/255.,
>
> 'Vermilion':np.array([213,94,0])/255.,
>
> 'ReddishPurple':np.array([204,121,167])/255.
>        }
>
> Cheers,
>
> Chao
>
>
>
> On Mon, Feb 17, 2014 at 7:17 PM, Gabriele Brambilla [via matplotlib] <[hidden
> email] <http://user/SendEmail.jtp?type=node&node=42886&i=0>> wrote:
>
>> Hi,
>> I'm dealing with a guy that is colorblind.
>> Have you got any suggestion on how could I show a plot like the one
>> attached to him?
>> Is there an option in pyplot that write little numbers near the curves
>> instead of colors?
>>
>> thanks
>>
>> Gabriele
>>
>> ------------------------------------------------------------------------------
>>
>> Managing the Performance of Cloud-Based Applications
>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>> Read the Whitepaper.
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>>
>>
>> ------------------------------
>>  If you reply to this email, your message will be added to the
>> discussion below:
>> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>>  To start a new topic under matplotlib - users, email [hidden email]<http://user/SendEmail.jtp?type=node&node=42886&i=1>
>> To unsubscribe from matplotlib, click here.
>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>
>
>
>
> --
>
> ***********************************************************************************
> Chao YUE
> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
> UMR 1572 CEA-CNRS-UVSQ
> Batiment 712 - Pe 119
> 91191 GIF Sur YVETTE Cedex
> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>
> ************************************************************************************
>
> ------------------------------
> View this message in context: Re: colorbllind problem<http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html>
> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>
>
> ------------------------------------------------------------------------------
> Managing the Performance of Cloud-Based Applications
> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
> Read the Whitepaper.
>
> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>

Hi Gabriele,

I'm afraid you have to put the numbers by yourself using the plt.text, as
in an example:
a = np.arange(10)
b = np.tile(a,(10,1))
c = np.tile(a[:,np.newaxis],(10)) + b
plot(c)
for i in range(10):
    plt.text(5,c[i][5],str(i))


I've askd by a review to use the colorblind compatible colors when trying
to submit a paper,
and I find a website below:
http://jfly.iam.u-tokyo.ac.jp/color/

I put some RGB numbers for some colors here if you feel like to have a try:
CCC =
{

'Black':np.array([0,0,0])/255.,

'Orange':np.array([230,159,0])/255.,

'Skyblue':np.array([85,180,233])/255.,

'BluishGreen':np.array([0,158,115])/255.,

'Yellow':np.array([240,228,66])/255.,

'Blue':np.array([0,114,178])/255.,

'Vermilion':np.array([213,94,0])/255.,

'ReddishPurple':np.array([204,121,167])/255.
       }

Cheers,

Chao



On Mon, Feb 17, 2014 at 7:17 PM, Gabriele Brambilla [via matplotlib] <
ml-...@n5...> wrote:

> Hi,
> I'm dealing with a guy that is colorblind.
> Have you got any suggestion on how could I show a plot like the one
> attached to him?
> Is there an option in pyplot that write little numbers near the curves
> instead of colors?
>
> thanks
>
> Gabriele
>
> ------------------------------------------------------------------------------
>
> Managing the Performance of Cloud-Based Applications
> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
> Read the Whitepaper.
>
> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>
>
> ------------------------------
>  If you reply to this email, your message will be added to the discussion
> below:
> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>  To start a new topic under matplotlib - users, email
> ml-...@n5...
> To unsubscribe from matplotlib, click here<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=2&code=Y2hhb3l1ZWpveUBnbWFpbC5jb218MnwxMzg1NzAzMzQx>
> .
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>



-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************




--
View this message in context: http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Le 17/02/2014 18:13, Eric Firing a écrit :
>> > I was then wondering :
>> > 1) is this solution recommended or not ?
>> > 2) is there a shortcup to avoird the five "dots" ?
> http://matplotlib.org/api/pyplot_api.html?highlight=locator_params#matplotlib.pyplot.locator_params
>
> This is both a pyplot function and an Axes method.
Thanks a lot!

I guess it would be nice to add a back reference to this method in
http://matplotlib.org/api/ticker_api.html

best,
Pierre

Hi,
I'm dealing with a guy that is colorblind.
Have you got any suggestion on how could I show a plot like the one
attached to him?
Is there an option in pyplot that write little numbers near the curves
instead of colors?

thanks

Gabriele

On 2014/02/17 4:58 AM, Pierre Haessig wrote:
> Hi,
>
> In order to get a plot with a small number of ticks, it is possible to
> create a matplotlib.ticker.MaxNLocator object with a small value for
> `nbins`.
>
> However, I found it also possible to modify the existing AutoLocator
> instances, since AutoLocator derives from MaxNLocator :
>
> ax.xaxis.major.locator.set_params(nbins=5)
> ax.yaxis.major.locator.set_params(nbins=5)
>
> (the default nbins value seems to be 9)
>
> The advantage of this inplace solution is that it doesn't any
> importing/browsing in the mpl namespace. However, it's still a bit long.
>
> I was then wondering :
> 1) is this solution recommended or not ?
> 2) is there a shortcup to avoird the five "dots" ?

http://matplotlib.org/api/pyplot_api.html?highlight=locator_params#matplotlib.pyplot.locator_params

This is both a pyplot function and an Axes method.

Eric

>
> best,
> Pierre

Hi,

In order to get a plot with a small number of ticks, it is possible to
create a matplotlib.ticker.MaxNLocator object with a small value for
`nbins`.

However, I found it also possible to modify the existing AutoLocator
instances, since AutoLocator derives from MaxNLocator :

ax.xaxis.major.locator.set_params(nbins=5)
ax.yaxis.major.locator.set_params(nbins=5)

(the default nbins value seems to be 9)

The advantage of this inplace solution is that it doesn't any
importing/browsing in the mpl namespace. However, it's still a bit long.

I was then wondering :
1) is this solution recommended or not ?
2) is there a shortcup to avoird the five "dots" ?

best,
Pierre

Hi everyone,

Sorry if this is a redundant request, but I haven't been able to find any
reliable sources online. I'm trying to install matplotlib on my mac with
osx 10.7.5. I get the following error:

> unknowne4ce8f4d9c9c:matplotlib margaretmaes$ python setup.py
> build============================================================================
> Edit setup.cfg to change the build options
> BUILDING MATPLOTLIB
>             matplotlib: yes [1.4.x]
>                 python: yes [2.7.1 (r271:86832, Jun 16 2011, 16:59:05)
>  [GCC
>                         4.2.1 (Based on Apple Inc. build 5658) (LLVM build
>                         2335.15.00)]]
>               platform: yes [darwin]
> REQUIRED DEPENDENCIES AND EXTENSIONS
>                  numpy: yes [version 1.5.1]
>                    six: yes [six was not found.]
>               dateutil: yes [using dateutil version 1.5]
>                tornado: yes [tornado was not found. It is required for the
>                         WebAgg backend. pip/easy_install may attempt to
>                         install it after matplotlib.]
>              pyparsing: yes [pyparsing was not found. It is required for
>                         mathtext support. pip/easy_install may attempt to
>                         install it after matplotlib.]
>                  pycxx: yes [Couldn't import.  Using local copy.]
>                 libagg: yes [pkg-config information for 'libagg' could not
>                         be found. Using local copy.]
>               freetype: no  [The C/C++ header for freetype2 (ft2build.h)
>                         could not be found.  You may need to install the
>                         development package.]
>                    png: yes [pkg-config information for 'libpng' could not
>                         be found. Using unknown version.]
>                  qhull: yes [pkg-config information for 'qhull' could not
> be
>                         found. Using local copy.]
> OPTIONAL SUBPACKAGES
>            sample_data: yes [installing]
>               toolkits: yes [installing]
>                  tests: yes [nose 0.11.1 or later is required to run the
>                         matplotlib test suite.  pip/easy_install may
> attempt
>                         to install it after matplotlib. / mock is required
>                         to run the matplotlib test suite.  pip/easy_install
>                         may attempt to install it after matplotlib.]
> OPTIONAL BACKEND EXTENSIONS
>                 macosx: yes [installing, darwin]
>                 qt4agg: no  [PyQt4 not found]
>                gtk3agg: no  [Requires pygobject to be installed.]
>              gtk3cairo: no  [Requires cairocffi or pycairo to be
> installed.]
>                 gtkagg: no  [Requires pygtk]
>                  tkagg: no  [The C/C++ header for Tk (tk.h) could not be
>                         found.  You may need to install the development
>                         package.]
>                  wxagg: no  [requires wxPython]
>                    gtk: no  [Requires pygtk]
>                    agg: yes [installing]
>                  cairo: no  [cairocffi or pycairo not found]
>              windowing: no  [Microsoft Windows only]
> OPTIONAL LATEX DEPENDENCIES
>                 dvipng: no
>            ghostscript: no
>                  latex: no
>                pdftops: no
>
> ============================================================================
>                         * The following required packages can not be built:
>                         * freetype


I've tried symbolic linking freetype-related files in /usr/local (as seen
here:
http://stackoverflow.com/questions/4092994/unable-to-install-matplotlib-on-mac-os-x).
I've also confirmed that freetype-related files are in my PATH environment
variable. Could anyone point me in the right direction for installing the
package?

Many thanks,

Maggie