matplotlib-users Mailing List for matplotlib (Page 3)

Hi,
I have send below query to matplotlib user group recently but did not get posted so far. Can you please tell me is there is any thin wrong with the message?
With best regards,
Sudheer

> 
> Dear Expert,
>                 Recently after up-gradation of matplotlib and ubuntu 16.04 I am 
> getting transparent figure axis when using the "linux color scheme"  
> option in ipython qtconsole. May I know if there is a way to fix this issue?. I  
> wanted to keep black screen as it reduces eye strain.
> 
> ipython qtconsole --matplotlib inline
> 
> If I save the image i am able to get axis properly but to see on screen as the  
> axis is not plotted with white background the black axis line and labels are not 
> visible. Earlier I used to get figures as attached in second figure.      
> Earlier Satus which I am looking for below link
> https://drive.google.com/open?id=0B3heUQNme7G5ZmVlUHpRakZxUlk
> Present status without boarder below link
> 
> 
> https://drive.google.com/open?id=0B3heUQNme7G5VkhZWHhiUnpfWDg
> 
> Kindly suggest a solution
> with best regards,
> Sudheer
> 

Dear Expert,
                Recently after up-gradation of matplotlib and ubuntu 16.04 I am getting transparent figure axis when using the "linux color scheme"  option in ipython qtconsole. May I know if there is a way to fix this issue?. I  wanted to keep black screen as it reduces eye strain.

ipython qtconsole --matplotlib inline

If I save the image i am able to get axis properly but to see on screen as the  axis is not plotted with white background the black axis line and labels are not visible. Earlier I used to get figures as attached in second figure.      
Earlier Satus which I am looking for below link
https://drive.google.com/open?id=0B3heUQNme7G5ZmVlUHpRakZxUlk
Present status without boarder below link


https://drive.google.com/open?id=0B3heUQNme7G5VkhZWHhiUnpfWDg
Kindly suggest a solution
with best regards,
Sudheer

Folks,

During the sprints at SciPy Mike Droettboom and I started to adapt the
Jupyter governance documents for matplotlib.

We are doing this in the open, and a pull request of the changes is at:

https://github.com/matplotlib/governance/pull/1

To be clear, this is a work in progress and is not final or in force.

We propose the mechanism for ratifying the these documents is to, after
input from the community, have the current "matplotlib Executive Committee"
(the signers of the FSA with NUMFocus) vote.

Tom

ps A very similar email was sent to the matplotlib-devel list on July 17

Dear all matplotlib users,

I am trying to make a geographical map with colors, in which the colors of
pixels will depend on 2-dimensions of (x,y), like the one attached from one
publication. I searched online and this is where I arrive:

https://gist.github.com/ChaoYue/81eb01b558f068f11ee741c56557a6a2

To put it short, I know how to pick up color by x-axis value, and use
y-axis value as an indicator of either saturation, or brightness or
transparency of the color. Or somewhere to convert this (x,y) information
back to linear space and select color from a matplotlib colormap. But is
there some way that I can use different colors for each corner of the small
square as shown in the example, and somewhere interpolate the colors in
between? like the one attached?

These are the online sources that help me, even though I am not sure I
fully understand the tricks inside them ...:

http://stackoverflow.com/questions/15207255/is-there-any-way-to-use-bivariate-colormaps-in-matplotlib

https://github.com/matplotlib/matplotlib/issues/4369

Thanks a lot in advance for any suggestions,

Cheers,
Chao

On Mon, Jul 25, 2016 at 4:34 PM, Chao YUE <cha...@gm...> wrote:

> Dear all matplotlib users,
>
> I am trying to make a geographical map with colors, in which the colors of
> pixels will depend on 2-dimensions of (x,y), like the one attached from one
> publication. I searched online and this is where I arrive:
>
> https://gist.github.com/ChaoYue/81eb01b558f068f11ee741c56557a6a2
>
> To put it short, I know how to pick up color by x-axis value, and use
> y-axis value as an indicator of either saturation, or brightness or
> transparency of the color. Or somewhere to convert this (x,y) information
> back to linear space and select color from a matplotlib colormap. But is
> there some way that I can use different colors for each corner of the small
> square as shown in the example, and somewhere interpolate the colors in
> between? like the one attached?
>
> These are the online sources that help me, even though I am not sure I
> fully understand the tricks inside them ...:
>
>
> http://stackoverflow.com/questions/15207255/is-there-any-way-to-use-bivariate-colormaps-in-matplotlib
>
> https://github.com/matplotlib/matplotlib/issues/4369
>
> Thanks a lot in advance for any suggestions,
>
> Cheers,
> Chao
>
> --
> please visit:
> http://www.globalcarbonatlas.org/
>
> ***********************************************************************************
> Chao YUE
> postdoc at LSCE
> CEA-Ormes des Merisiers, F-91191 GIF-SUR-YVETTE CEDEX
> Tel: 33 1 69 08 41 87
>
> ************************************************************************************
>



-- 
please visit:
http://www.globalcarbonatlas.org/
***********************************************************************************
Chao YUE
postdoc at LSCE
CEA-Ormes des Merisiers, F-91191 GIF-SUR-YVETTE CEDEX
Tel: 33 1 69 08 41 87
************************************************************************************

scatter does not (currently) support multiple markers in a single call.
You will have to do the group-by operation and call scatter is a loop.

If you define your cmap and norm outside of scatter, you can pass the same
instances into both calls to scatter to have mpl take care of that level of
mapping for you.

Tom

On Mon, Jul 11, 2016 at 3:32 PM Chao YUE <cha...@gm...> wrote:

> OK, after posting I realize I can pass a vector to the 's' keyword in
> plt.scatter to set the marker size, like s=[20,20,20,20,20,50,20,20,20,20].
> How about using a different marker type? Thanks!
>
> Regards,
> Chao
>
> On Mon, Jul 11, 2016 at 10:27 PM, Chao YUE <cha...@gm...> wrote:
>
>> Dear all matplotlib users,
>>
>> I have a user case that, let's say I have three series data: x,y,z.
>> I would like to make a scatter plot using (x,y) as coordinates and z as
>> the color of scatter points, using cmap keyword of plt.scatter. However, I
>> would like to highlight some specific point by using a different marker (or
>> marker size) than other points.
>>
>> ​A minimum example is like below:
>> x,y,z = np.random.randn(3,10)
>> plt.scatter(x,y,c=z,cmap=matplotlib.cm.jet)
>> plt.colorbar()​
>>
>> ​If I want to use a different marker or marker size for (x[5],y[5],z[5]),
>> how could I do that?
>> The only way I can think of is to plot again for this point using
>> plt.scatter([x[5],y[5]) but define the color by manually finding the
>> colormap ​color corresponding to z[5]. However this is quite tedious. Is
>> there a better way?
>>
>> ​Thanks a lot for any help,
>>
>> Regards,
>> Chao​
>>
>> --
>> please visit:
>> http://www.globalcarbonatlas.org/
>>
>> ***********************************************************************************
>> Chao YUE
>> postdoc at LSCE
>> CEA-Ormes des Merisiers, F-91191 GIF-SUR-YVETTE CEDEX
>> Tel: 33 1 69 08 41 87
>>
>> ************************************************************************************
>>
>
>
>
> --
> please visit:
> http://www.globalcarbonatlas.org/
>
> ***********************************************************************************
> Chao YUE
> postdoc at LSCE
> CEA-Ormes des Merisiers, F-91191 GIF-SUR-YVETTE CEDEX
> Tel: 33 1 69 08 41 87
>
> ************************************************************************************
>
> ------------------------------------------------------------------------------
> Attend Shape: An AT&T Tech Expo July 15-16. Meet us at AT&T Park in San
> Francisco, CA to explore cutting-edge tech and listen to tech luminaries
> present their vision of the future. This family event has something for
> everyone, including kids. Get more information and register today.
> http://sdm.link/attshape_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

OK, after posting I realize I can pass a vector to the 's' keyword in
plt.scatter to set the marker size, like s=[20,20,20,20,20,50,20,20,20,20].
How about using a different marker type? Thanks!

Regards,
Chao

On Mon, Jul 11, 2016 at 10:27 PM, Chao YUE <cha...@gm...> wrote:

> Dear all matplotlib users,
>
> I have a user case that, let's say I have three series data: x,y,z.
> I would like to make a scatter plot using (x,y) as coordinates and z as
> the color of scatter points, using cmap keyword of plt.scatter. However, I
> would like to highlight some specific point by using a different marker (or
> marker size) than other points.
>
> ​A minimum example is like below:
> x,y,z = np.random.randn(3,10)
> plt.scatter(x,y,c=z,cmap=matplotlib.cm.jet)
> plt.colorbar()​
>
> ​If I want to use a different marker or marker size for (x[5],y[5],z[5]),
> how could I do that?
> The only way I can think of is to plot again for this point using
> plt.scatter([x[5],y[5]) but define the color by manually finding the
> colormap ​color corresponding to z[5]. However this is quite tedious. Is
> there a better way?
>
> ​Thanks a lot for any help,
>
> Regards,
> Chao​
>
> --
> please visit:
> http://www.globalcarbonatlas.org/
>
> ***********************************************************************************
> Chao YUE
> postdoc at LSCE
> CEA-Ormes des Merisiers, F-91191 GIF-SUR-YVETTE CEDEX
> Tel: 33 1 69 08 41 87
>
> ************************************************************************************
>



-- 
please visit:
http://www.globalcarbonatlas.org/
***********************************************************************************
Chao YUE
postdoc at LSCE
CEA-Ormes des Merisiers, F-91191 GIF-SUR-YVETTE CEDEX
Tel: 33 1 69 08 41 87
************************************************************************************

Dear all matplotlib users,

I have a user case that, let's say I have three series data: x,y,z.
I would like to make a scatter plot using (x,y) as coordinates and z as the
color of scatter points, using cmap keyword of plt.scatter. However, I
would like to highlight some specific point by using a different marker (or
marker size) than other points.

​A minimum example is like below:
x,y,z = np.random.randn(3,10)
plt.scatter(x,y,c=z,cmap=matplotlib.cm.jet)
plt.colorbar()​

​If I want to use a different marker or marker size for (x[5],y[5],z[5]),
how could I do that?
The only way I can think of is to plot again for this point using
plt.scatter([x[5],y[5]) but define the color by manually finding the
colormap ​color corresponding to z[5]. However this is quite tedious. Is
there a better way?

​Thanks a lot for any help,

Regards,
Chao​

-- 
please visit:
http://www.globalcarbonatlas.org/
***********************************************************************************
Chao YUE
postdoc at LSCE
CEA-Ormes des Merisiers, F-91191 GIF-SUR-YVETTE CEDEX
Tel: 33 1 69 08 41 87
************************************************************************************

I originally posted to Stack Overflow at
http://stackoverflow.com/q/38274681/2988730.

I am trying to follow the answer at
http://stackoverflow.com/a/38008501/2988730 to an earlier question of
mine to create colored and styled legend-like entries. I have the
following code:

    import matplotlib as mpl
    mpl.use('ps')
    from matplotlib import pyplot as plt

    mpl.rc('text', usetex=True)
    mpl.rc('text.latex', preamble='\\usepackage{color}\n\\usepackage{dashrule}')

    plt.ion()
    ax = plt.plot((0, 1), (1, 2))[0].axes
    ax.set_ylabel(r'Y $\;$ \textcolor[rgb]{1.0, 0.0,
0.0}{\hdashrule[0.5ex]{3cm}{1pt}{1pt 0pt}}')
    ax.set_xlabel(r'N $\;$ \textcolor[rgb]{0.0, 1.0,
0.0}{\rule[0.5ex]{3cm}{1pt}}')
    plt.savefig('test.ps')

The result is as expected. The labels contain black text with a red
line on the Y label and a green line on the X label:
http://i.stack.imgur.com/JCiLI.png.

However, when I try the exact same set of commands without the
`mpl.use('ps')` line (using `'qt4agg'` backend on my system), the
figure neither saves corectly nor shows up correctly on screen:

    import matplotlib as mpl
    from matplotlib import pyplot as plt

    mpl.rc('text', usetex=True)
    mpl.rc('text.latex', preamble='\\usepackage{color}\n\\usepackage{dashrule}')

    plt.ion()
    ax = plt.plot((0, 1), (1, 2))[0].axes
    ax.set_ylabel(r'Y $\;$ \textcolor[rgb]{1.0, 0.0,
0.0}{\hdashrule[0.5ex]{3cm}{1pt}{1pt 0pt}}')
    ax.set_xlabel(r'N $\;$ \textcolor[rgb]{0.0, 1.0,
0.0}{\rule[0.5ex]{3cm}{1pt}}')

    plt.savefig('test.png')
    plt.show()

The result of `plt.savefig` (http://i.stack.imgur.com/h2LXn.png) and
`plt.show` (http://i.stack.imgur.com/0Ow7c.png) are basically the same
in this case. The lines after the text show up black.

How do I get the colors to show up in the labels with the default
interactive backend?

Regards,

    -Joe

Hi there,

I have been subscribed to matplotlib-users before.  I have a new job, and
now I'm connecting from a new email address.  I've been using Matplotlib
since before 1.0 was released.  Currently, I'm using MPL 1.4.2 and Python
3.5 on Ubuntu Linux 15.04 (if any of that matters).

Please have a look at the following graph:

[image: Inline image 1]

The values in the data set used to plot these two graphs range from 14942
to 14948.  In other words, the median of the data set is very far from
zero, but the range of the data is very small.  With such a data set, MPL
subtracts a large offset value from the data points, choosing a value such
that the remaining differences are small, positive numbers.  I understand
the logic behind this, it simplifies graph labeling on the x-axis of the
left graph, and the y-axis of the right graph.

However, I do not like the way that MPL is displaying the offset value.  It
is written in small text, and it does not show up in a consistent place.
On a figure with many adjacent axes, it sometimes isn't clear which axes
owns the annotation.  I would prefer to incorporate the offset in the axes
title: for example, the title of the left graph could read "internal
thermistor (+14940)".

So, what is this offset value called in Matplotlib?  How do I retrieve it?
How can I override its display?  I can obviously do this by wrapping these
particular plots in functions which apply the offset before giving the data
to MPL.  But I would prefer to work with MPL itself, as I don't always know
when MPL will judge that a data offset value is needed.

Thanks for your help!
-- 
*John J. Ladasky Jr., Ph.D.*
*Research Scientist*
*International Technological University*
*2711 N. First St, San Jose, CA 95134 USA*

Thank guys, it was an old pkg-config in my PATH. It's now sorted.

Alan

On 16 June 2016 at 20:10, Matthew Brett <mat...@gm...> wrote:

> Hi,
>
> On Thu, Jun 16, 2016 at 9:07 AM, Alan <ala...@gm...> wrote:
> > Hi there,
> >
> > I am not the admin so I have installed my own python 3.5.1 and I am using
> > pip3 to install all modules I need. I got all but matplotlib :-(
> >
> > pip3 install -U matplotlib
> > Collecting matplotlib
> >   Using cached matplotlib-1.5.1.tar.gz
> >     Complete output from command python setup.py egg_info:
> >     Traceback (most recent call last):
> >       File "<string>", line 1, in <module>
> >       File "/tmp/pip-build-6eka4_fr/matplotlib/setup.py", line 167, in
> > <module>
> >         result = package.check()
> >       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 980, in
> > check
> >         min_version='1.2', version=version)
> >       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 459, in
> > _check_for_pkg_config
> >         if (not is_min_version(version, min_version)):
> >       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 179, in
> > is_min_version
> >         return found_version >= expected_version
> >       File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line 70,
> in
> > __ge__
> >         c = self._cmp(other)
> >       File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line
> 337, in
> > _cmp
> >         if self.version < other.version:
> >     TypeError: unorderable types: str() < int()
> >
> >
> ============================================================================
> >     Edit setup.cfg to change the build options
> >
> >     BUILDING MATPLOTLIB
> >                 matplotlib: yes [1.5.1]
> >                     python: yes [3.5.1 (default, Jun 16 2016, 11:03:02)
> > [GCC
> >                             4.4.7 20120313 (Red Hat 4.4.7-11)]]
> >                   platform: yes [linux]
> >
> >     REQUIRED DEPENDENCIES AND EXTENSIONS
> >                      numpy: yes [version 1.11.0]
> >                   dateutil: yes [using dateutil version 2.5.3]
> >                       pytz: yes [using pytz version 2016.4]
> >                     cycler: yes [using cycler version 0.10.0]
> >                    tornado: yes [using tornado version 4.3]
> >                  pyparsing: yes [using pyparsing version 2.1.5]
> >                     libagg: yes [pkg-config information for 'libagg'
> could
> > not
> >                             be found. Using local copy.]
> >                   freetype: yes [version unknown]
> >
> >     ----------------------------------------
> > Command "python setup.py egg_info" failed with error code 1 in
> > /tmp/pip-build-6eka4_fr/matplotlib/
> >
> > What am I missing here please?
> >
> > Thanks,
> >
> > Alan
> >
> > PS. btw, with python 2.7.11 all went fine.
>
> By the way does this:
>
> python -m pip install --upgrade pip  # upgrade to latest pip
> pip install -f https://nipy.bic.berkeley.edu/manylinux -U matplotlib
>
> work for you to install matplotlib 1.5.1?
>
> Or this, to install 2.0 pre-release?
>
> python -m pip install --upgrade pip  # upgrade to latest pip
> pip install -f https://nipy.bic.berkeley.edu/manylinux -U --pre matplotlib
>
> Best,
>
> Matthew
>



-- 
Alan Wilter SOUSA da SILVA, DSc
Senior Bioinformatician, UniProt
European Bioinformatics Institute (EMBL-EBI)
European Molecular Biology Laboratory
Wellcome Trust Genome Campus
Hinxton
Cambridge CB10 1SD
United Kingdom
Tel: +44 (0)1223 494588

Hi,

On Thu, Jun 16, 2016 at 9:07 AM, Alan <ala...@gm...> wrote:
> Hi there,
>
> I am not the admin so I have installed my own python 3.5.1 and I am using
> pip3 to install all modules I need. I got all but matplotlib :-(
>
> pip3 install -U matplotlib
> Collecting matplotlib
>   Using cached matplotlib-1.5.1.tar.gz
>     Complete output from command python setup.py egg_info:
>     Traceback (most recent call last):
>       File "<string>", line 1, in <module>
>       File "/tmp/pip-build-6eka4_fr/matplotlib/setup.py", line 167, in
> <module>
>         result = package.check()
>       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 980, in
> check
>         min_version='1.2', version=version)
>       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 459, in
> _check_for_pkg_config
>         if (not is_min_version(version, min_version)):
>       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 179, in
> is_min_version
>         return found_version >= expected_version
>       File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line 70, in
> __ge__
>         c = self._cmp(other)
>       File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line 337, in
> _cmp
>         if self.version < other.version:
>     TypeError: unorderable types: str() < int()
>
> ============================================================================
>     Edit setup.cfg to change the build options
>
>     BUILDING MATPLOTLIB
>                 matplotlib: yes [1.5.1]
>                     python: yes [3.5.1 (default, Jun 16 2016, 11:03:02)
> [GCC
>                             4.4.7 20120313 (Red Hat 4.4.7-11)]]
>                   platform: yes [linux]
>
>     REQUIRED DEPENDENCIES AND EXTENSIONS
>                      numpy: yes [version 1.11.0]
>                   dateutil: yes [using dateutil version 2.5.3]
>                       pytz: yes [using pytz version 2016.4]
>                     cycler: yes [using cycler version 0.10.0]
>                    tornado: yes [using tornado version 4.3]
>                  pyparsing: yes [using pyparsing version 2.1.5]
>                     libagg: yes [pkg-config information for 'libagg' could
> not
>                             be found. Using local copy.]
>                   freetype: yes [version unknown]
>
>     ----------------------------------------
> Command "python setup.py egg_info" failed with error code 1 in
> /tmp/pip-build-6eka4_fr/matplotlib/
>
> What am I missing here please?
>
> Thanks,
>
> Alan
>
> PS. btw, with python 2.7.11 all went fine.

By the way does this:

python -m pip install --upgrade pip  # upgrade to latest pip
pip install -f https://nipy.bic.berkeley.edu/manylinux -U matplotlib

work for you to install matplotlib 1.5.1?

Or this, to install 2.0 pre-release?

python -m pip install --upgrade pip  # upgrade to latest pip
pip install -f https://nipy.bic.berkeley.edu/manylinux -U --pre matplotlib

Best,

Matthew

Alan,

This mailing list is obsolete; please use mat...@py....

Your traceback looks vaguely familiar as something that has come up 
before, but I don't have any more recollection than that.  Suggestions:

1) Install your python environment the easy way via anaconda or 
miniconda: https://www.continuum.io/downloads

2) If you are *sure* you don't want to do it that way, make sure you 
have the most recent version of pip.

3) Likewise, install the most recent matplotlib.  See attached message.

Eric

On 2016/06/16 6:07 AM, Alan wrote:
> Hi there,
>
> I am not the admin so I have installed my own python 3.5.1 and I am
> using pip3 to install all modules I need. I got all but matplotlib :-(
>
> pip3 install -U matplotlib
>
>                           Collecting matplotlib
>   Using cached matplotlib-1.5.1.tar.gz
>     Complete output from command python setup.py egg_info:
>     Traceback (most recent call last):
>       File "<string>", line 1, in <module>
>       File "/tmp/pip-build-6eka4_fr/matplotlib/setup.py", line 167, in
> <module>
>         result = package.check()
>       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 980,
> in check
>         min_version='1.2', version=version)
>       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 459,
> in _check_for_pkg_config
>         if (not is_min_version(version, min_version)):
>       File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 179,
> in is_min_version
>         return found_version >= expected_version
>       File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line 70,
> in __ge__
>         c = self._cmp(other)
>       File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line
> 337, in _cmp
>         if self.version < other.version:
>     TypeError: unorderable types: str() < int()
>
> ============================================================================
>     Edit setup.cfg to change the build options
>
>     BUILDING MATPLOTLIB
>                 matplotlib: yes [1.5.1]
>                     python: yes [3.5.1 (default, Jun 16 2016, 11:03:02)
>  [GCC
>                             4.4.7 20120313 (Red Hat 4.4.7-11)]]
>                   platform: yes [linux]
>
>     REQUIRED DEPENDENCIES AND EXTENSIONS
>                      numpy: yes [version 1.11.0]
>                   dateutil: yes [using dateutil version 2.5.3]
>                       pytz: yes [using pytz version 2016.4]
>                     cycler: yes [using cycler version 0.10.0]
>                    tornado: yes [using tornado version 4.3]
>                  pyparsing: yes [using pyparsing version 2.1.5]
>                     libagg: yes [pkg-config information for 'libagg'
> could not
>                             be found. Using local copy.]
>                   freetype: yes [version unknown]
>
>     ----------------------------------------
> Command "python setup.py egg_info" failed with error code 1 in
> /tmp/pip-build-6eka4_fr/matplotlib/
>
> What am I missing here please?
>
> Thanks,
>
> Alan
>
> PS. btw, with python 2.7.11 all went fine.
>

Hi there,

I am not the admin so I have installed my own python 3.5.1 and I am using
pip3 to install all modules I need. I got all but matplotlib :-(

pip3 install -U matplotlib

                    Collecting matplotlib
  Using cached matplotlib-1.5.1.tar.gz
    Complete output from command python setup.py egg_info:
    Traceback (most recent call last):
      File "<string>", line 1, in <module>
      File "/tmp/pip-build-6eka4_fr/matplotlib/setup.py", line 167, in
<module>
        result = package.check()
      File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 980, in
check
        min_version='1.2', version=version)
      File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 459, in
_check_for_pkg_config
        if (not is_min_version(version, min_version)):
      File "/tmp/pip-build-6eka4_fr/matplotlib/setupext.py", line 179, in
is_min_version
        return found_version >= expected_version
      File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line 70, in
__ge__
        c = self._cmp(other)
      File "/sw/arch/Test2/lib/python3.5/distutils/version.py", line 337,
in _cmp
        if self.version < other.version:
    TypeError: unorderable types: str() < int()

============================================================================
    Edit setup.cfg to change the build options

    BUILDING MATPLOTLIB
                matplotlib: yes [1.5.1]
                    python: yes [3.5.1 (default, Jun 16 2016, 11:03:02)
 [GCC
                            4.4.7 20120313 (Red Hat 4.4.7-11)]]
                  platform: yes [linux]

    REQUIRED DEPENDENCIES AND EXTENSIONS
                     numpy: yes [version 1.11.0]
                  dateutil: yes [using dateutil version 2.5.3]
                      pytz: yes [using pytz version 2016.4]
                    cycler: yes [using cycler version 0.10.0]
                   tornado: yes [using tornado version 4.3]
                 pyparsing: yes [using pyparsing version 2.1.5]
                    libagg: yes [pkg-config information for 'libagg' could
not
                            be found. Using local copy.]
                  freetype: yes [version unknown]

    ----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in
/tmp/pip-build-6eka4_fr/matplotlib/

What am I missing here please?

Thanks,

Alan

PS. btw, with python 2.7.11 all went fine.

For information  on Euroscipy.
Thanks,
N
---------- Forwarded message ----------
From: "Pierre de Buyl" <pie...@ch...>
Date: Jun 7, 2016 6:59 AM
Subject: Re: [SciPy-User] [Numpy-discussion] EuroSciPy 2016
To: <num...@sc...>, <sci...@sc...>
Cc:

Dear NumPy and SciPy communities,

On Tue, May 31, 2016 at 03:05:23PM +0200, Pierre de Buyl wrote:
> EuroSciPy 2016 takes place in Erlangen, Germany, from the 23 to the 27 of
August
> and consists of two days of tutorials (beginner and advanced tracks) and
two
> days of conference representing many fields of science, with a focus on
Python
> tools for science. A day of sprints follows (sprints TBA).
>
> The keynote speakers are Gaël Varoquaux and Abby Cabunoc Mayes and we can
expect
> a rich tutorial and scientific program! Videos from previous years are
available
> at
https://www.youtube.com/playlist?list=PLYx7XA2nY5GeQCCugyvtnHMVLdhYlrRxH and
> https://www.youtube.com/playlist?list=PLYx7XA2nY5Gcpabmu61kKcToLz0FapmHu
>
> Visit us, register and submit an abstract on our website!
> https://www.euroscipy.org/2016/

EuroSciPy 2016 has extended the deadline for submitting contributions! You
have
until the 19th of june to submit a talk/poster/tutorial at
https://www.euroscipy.org/2016/

SciPythonic regards,

The EuroSciPy 2016 team

_______________________________________________
SciPy-User mailing list
Sci...@sc...
https://mail.scipy.org/mailman/listinfo/scipy-user

Hello,
consider a case when I want to draw a patch, but it is important how the
border is drawn. For example, if I have an aerial photo and I would like
to add a rectangle of given dimensions as a reference. Having the
rectangle interior white and its border thick and black is good, because
 it ensures that the reference will be always clearly visible,
regardless of whether the photo is dark or bright.
However, as the border is thick, it may significantly overlap with the
interior, which is highly unwanted, because it will look smaller.
Therefore, in this case, I would like to draw the border, but all of it
should be outside of the patch primary area.
And I am sure that there are use cases for the opposite situation.

TL;DR: Take a look at the attached picture to see what I have in mind -
I would like to use "outer borders" (red) or "inner borders", or
classical ones, depending on my needs.

Is there a user possibility to influence how the border is drawn? If
not, how difficult would it be to implement this in matplotlib?

python -m pip install --upgrade pip  # upgrade pip to latest
pip install --pre matplotlib

Should now work on all platforms.

Tom

On Tue, May 31, 2016 at 6:31 PM Skip Montanaro <sk...@po...> wrote:

> > A build of the docs is available at http://matplotlib.org/2.0.0b1
>
> Thanks. Is there a "What's New" page in the docs? Or maybe an upgrade
> guide which identifies incompatibilities with 1.5?
>
> Skip Montanaro
> who still remembers John Hunter's interview presentation at TradeLink,
> lo these many years ago...
>

> A build of the docs is available at http://matplotlib.org/2.0.0b1

Thanks. Is there a "What's New" page in the docs? Or maybe an upgrade
guide which identifies incompatibilities with 1.5?

Skip Montanaro
who still remembers John Hunter's interview presentation at TradeLink,
lo these many years ago...

On Mon, May 30, 2016 at 9:01 PM, Thomas Caswell <tca...@gm...> wrote:
> Folks,
>
> We tagged the first beta for v2.0.0 tonight.  Please check out the new
> defaults!
>
> This is tagged as a beta because we anticipate a longer than normal release
> cycle.  The style changes are substantial and we want to make sure that we
> have not crippled any common use cases.  The target for the final release
> around scipy.

You should now be able to get this release on OSX or Linux with:

python -m pip install --upgrade pip  # upgrade pip to latest
pip install --pre matplotlib

Cheers,

Matthew

Folks,

We tagged the first beta for v2.0.0 tonight.  Please check out the new
defaults!

This is tagged as a beta because we anticipate a longer than normal release
cycle.  The style changes are substantial and we want to make sure that we
have not crippled any common use cases.  The target for the final release
around scipy.

A build of the docs is available at http://matplotlib.org/2.0.0b1

Preview conda packages are available via

conda install -c conda-forge/label/rc -c conda-forge matplotlib

pre-release packages should be on pypi tomorrow.

Brief release notes:

This previews the new default style and many bug-fixes.  A full list of
the style changes will be collected for the final release.

In addition to the style change this release includes:
 - overhaul of font handling/text rendering to be faster and clearer
 - many new rcParams
 - Agg based OSX backend
 - optionally deterministic SVGs
 - complete re-write of image handling code
 - simplified color conversion
 - specify colors in the global property cycle via `'C0'`,
   `'C1'`... `'C9'`
 - use the global property cycle more places (bar, stem, scatter)

There is a 'classic' style sheet which reproduces the 1.Y defaults:

   import matplotlib.style as mstyle
   mstyle.use('classic')

A big thank you to everyone who worked on this release.

Tom

**ANN: SciPy 2016 Conference (Scientific Computing with Python): Tutorials
and Talks Announced**

 

We're excited to announce this year's accepted Talks
<http://scipy2016.scipy.org/ehome/146062/332963/> & Posters and Tutorial
Schedule <http://scipy2016.scipy.org/ehome/146062/332960/> !  This year's 3
major talk tracks include Python in Data Science, High Performance
Computing, and general Scientific Computing. Our six mini-symposia include:
Earth and Space Science, Engineering, Medicine and Biology, Case Studies in
Industry, Education, and Reproducibility. For tutorials, you can choose from
<http://scipy2016.scipy.org/ehome/146062/332960/>  18 different SciPy
tutorials, including a  <https://katyhuff.github.io/2016-07-11-scipy> 1 day
Software Carpentry Scientific Python course that assumes some programming
experience but no Python knowledge, or a 2-day Software Carpentry Instructor
Training.

 

We hope you'll join us - early bird registration ENDS May 22, 2016. Register
at: http://scipy2016.scipy.org/ehome/146062/332936/

 

About SciPy 2016

SciPy 2016 <http://www.scipy2016.scipy.org> , the 15th annual Scientific
Computing with Python conference, will be held July 11-17, 2016 in Austin,
Texas. SciPy is a community dedicated to the advancement of scientific
computing through open source Python software for mathematics, science, and
engineering. The annual SciPy Conference brings together over 650
participants from industry, academia, and government to showcase their
latest projects, learn from skilled users and developers, and collaborate on
code development. The full program will consist of
<http://scipy2016.scipy.org/ehome/146062/332960/>  2 days of tutorials (July
11-12), <http://scipy2016.scipy.org/ehome/146062/332963/>  3 days of talks
(July 13-15), and 2days of
<http://scipy2016.scipy.org/ehome/146062/332969/?&&>  developer sprints
(July 16-17). More info is available on the conference website at
<http://www.scipy2016.scipy.org>  http://scipy2016.scipy.org (where you can
sign up for the mailing list); or follow <https://twitter.com/scipyconf>
@scipyconf on Twitter.  

 

 

Viridis is in the `cm` submodule.

from matplotlib import cm
cmap = cm.viridis

On Mon, Apr 25, 2016 at 6:24 PM, Sudheer Joseph <sud...@ya...>
wrote:

> Hi Paul,
>
> I tried to get the new colormap suggestion from you but could not get the
> colormap package. Where can I get it? google search did not took me to the
> package/
> Is it a development package?
>  May I know how to use  viridis color map  with an example plot?
>
>
> Below is an example code from the link you send
>
> '''
> For each colormap, plot the lightness parameter L* from CIELAB colorspace
> along the y axis vs index through the colormap. Colormaps are examined in
> categories as in the original matplotlib gallery of colormaps.
> '''
>
> from colormaps import cmaps
> import numpy as np
> import matplotlib.pyplot as plt
> from matplotlib import cm
> import matplotlib as mpl
> from colorspacious import cspace_converter
>
>
>
> *************************************************************** Sudheer
> Joseph         Indian National Centre for Ocean Information Services
> Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla
> P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:
> +91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
> E-mail:sjo...@gm...;sud...@ya... Web-
> http://oppamthadathil.tripod.com
> ***************************************************************
>
> --------------------------------------------
> On Mon, 25/4/16, Paul Hobson <pmh...@gm...> wrote:
>
>  Subject: Re: [Matplotlib-users] subplot layout
>  To: "Sudheer Joseph" <sud...@ya...>
>  Cc: "Matplotlib Users" <mat...@li...>
>  Date: Monday, 25 April, 2016, 4:33 PM
>
>  Your
>  basemap plot is likely setting the aspect of the axes to
>  "equal", so it resizes the plot accordingly.
>  Otherwise you'd have a pretty nasty amount of vertical
>  distortion.
>  When you save
>  the figure, using bbox_inches='tight' will trim the
>  excess white space from the
>  margins:fig.savefig('map_and_bars.png',
>  dpi=600, bbox_inches='tight')
>  Also, you should try the new viridis
>  color map :)
> http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous
>
>
>
>  On Mon, Apr 25, 2016 at
>  9:05 AM, Sudheer Joseph <sud...@ya...>
>  wrote:
>  Hi,
>
>             I am looking for a layout as seen in the
>  empty layout attached which is produced using
>
>  figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
>
>
>
>  However when I use it for getting attached second figure the
>  layout gets modified as seen in attached figure 2.
>
>  fig = p.figure(figsize=(20,8))
>
>  ax=p.subplot(121)
>
>  ax1=p.subplot(222)
>
>  ax2=p.subplot(224)
>
>
>
>  Can any one suggest a way to get figure exactly as the empty
>  layout?
>
>
>
>  With best regards,
>
>  Sudheer
>
>
>
>  ***************************************************************
>  Sudheer Joseph         Indian National Centre for Ocean
>  Information Services Ministry of Earth Sciences, Govt. of
>  India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi
>  Nagar,Kukatpally, Hyderabad; Pin:5000 55
>  Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
>  Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile)
> E-mail:sjo...@gm...;sud...@ya...
>  Web- http://oppamthadathil.tripod.com
>  ***************************************************************
>
>  ------------------------------------------------------------------------------
>
>  Find and fix application performance issues faster with
>  Applications Manager
>
>  Applications Manager provides deep performance insights into
>  multiple tiers of
>
>  your business applications. It resolves application problems
>  quickly and
>
>  reduces your MTTR. Get your free trial!
>
>  https://ad.doubleclick.net/ddm/clk/302982198;130105516;z
>  _______________________________________________
>
>  Matplotlib-users mailing list
>
>  Mat...@li...
>
>  https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
>
>

Hi Paul,

I tried to get the new colormap suggestion from you but could not get the colormap package. Where can I get it? google search did not took me to the package/
Is it a development package?
 May I know how to use  viridis color map  with an example plot? 


Below is an example code from the link you send

'''
For each colormap, plot the lightness parameter L* from CIELAB colorspace
along the y axis vs index through the colormap. Colormaps are examined in
categories as in the original matplotlib gallery of colormaps.
'''

from colormaps import cmaps
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
import matplotlib as mpl
from colorspacious import cspace_converter



*************************************************************** Sudheer Joseph         Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo...@gm...;sud...@ya... Web- http://oppamthadathil.tripod.com ***************************************************************

--------------------------------------------
On Mon, 25/4/16, Paul Hobson <pmh...@gm...> wrote:

 Subject: Re: [Matplotlib-users] subplot layout
 To: "Sudheer Joseph" <sud...@ya...>
 Cc: "Matplotlib Users" <mat...@li...>
 Date: Monday, 25 April, 2016, 4:33 PM
 
 Your
 basemap plot is likely setting the aspect of the axes to
 "equal", so it resizes the plot accordingly.
 Otherwise you'd have a pretty nasty amount of vertical
 distortion.
 When you save
 the figure, using bbox_inches='tight' will trim the
 excess white space from the
 margins:fig.savefig('map_and_bars.png',
 dpi=600, bbox_inches='tight')
 Also, you should try the new viridis
 color map :) http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous
 
 
 
 On Mon, Apr 25, 2016 at
 9:05 AM, Sudheer Joseph <sud...@ya...>
 wrote:
 Hi,
 
            I am looking for a layout as seen in the
 empty layout attached which is produced using
 
 figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
 
 
 
 However when I use it for getting attached second figure the
 layout gets modified as seen in attached figure 2.
 
 fig = p.figure(figsize=(20,8))
 
 ax=p.subplot(121)
 
 ax1=p.subplot(222)
 
 ax2=p.subplot(224)
 
 
 
 Can any one suggest a way to get figure exactly as the empty
 layout?
 
 
 
 With best regards,
 
 Sudheer
 
 
 
 ***************************************************************
 Sudheer Joseph         Indian National Centre for Ocean
 Information Services Ministry of Earth Sciences, Govt. of
 India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi
 Nagar,Kukatpally, Hyderabad; Pin:5000 55
 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
 Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo...@gm...;sud...@ya...
 Web- http://oppamthadathil.tripod.com
 ***************************************************************
 ------------------------------------------------------------------------------
 
 Find and fix application performance issues faster with
 Applications Manager
 
 Applications Manager provides deep performance insights into
 multiple tiers of
 
 your business applications. It resolves application problems
 quickly and
 
 reduces your MTTR. Get your free trial!
 
 https://ad.doubleclick.net/ddm/clk/302982198;130105516;z
 _______________________________________________
 
 Matplotlib-users mailing list
 
 Mat...@li...
 
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users
 
 
 

Thank you Paul,
                        Thanks for the tips related to margins and also about colormaps. Is there a way to stop the automatic aspect ratio setting ( though it it distors map in present case ) if I wanted to use that for other plots?

With best regards,
Sudheer


*************************************************************** Sudheer Joseph         Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo...@gm...;sud...@ya... Web- http://oppamthadathil.tripod.com ***************************************************************

--------------------------------------------
On Mon, 25/4/16, Paul Hobson <pmh...@gm...> wrote:

 Subject: Re: [Matplotlib-users] subplot layout
 To: "Sudheer Joseph" <sud...@ya...>
 Cc: "Matplotlib Users" <mat...@li...>
 Date: Monday, 25 April, 2016, 4:33 PM
 
 Your
 basemap plot is likely setting the aspect of the axes to
 "equal", so it resizes the plot accordingly.
 Otherwise you'd have a pretty nasty amount of vertical
 distortion.
 When you save
 the figure, using bbox_inches='tight' will trim the
 excess white space from the
 margins:fig.savefig('map_and_bars.png',
 dpi=600, bbox_inches='tight')
 Also, you should try the new viridis
 color map :) http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous
 
 
 
 On Mon, Apr 25, 2016 at
 9:05 AM, Sudheer Joseph <sud...@ya...>
 wrote:
 Hi,
 
            I am looking for a layout as seen in the
 empty layout attached which is produced using
 
 figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
 
 
 
 However when I use it for getting attached second figure the
 layout gets modified as seen in attached figure 2.
 
 fig = p.figure(figsize=(20,8))
 
 ax=p.subplot(121)
 
 ax1=p.subplot(222)
 
 ax2=p.subplot(224)
 
 
 
 Can any one suggest a way to get figure exactly as the empty
 layout?
 
 
 
 With best regards,
 
 Sudheer
 
 
 
 ***************************************************************
 Sudheer Joseph         Indian National Centre for Ocean
 Information Services Ministry of Earth Sciences, Govt. of
 India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi
 Nagar,Kukatpally, Hyderabad; Pin:5000 55
 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O),
 Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo...@gm...;sud...@ya...
 Web- http://oppamthadathil.tripod.com
 ***************************************************************
 ------------------------------------------------------------------------------
 
 Find and fix application performance issues faster with
 Applications Manager
 
 Applications Manager provides deep performance insights into
 multiple tiers of
 
 your business applications. It resolves application problems
 quickly and
 
 reduces your MTTR. Get your free trial!
 
 https://ad.doubleclick.net/ddm/clk/302982198;130105516;z
 _______________________________________________
 
 Matplotlib-users mailing list
 
 Mat...@li...
 
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users
 
 
 

Yes, the left hand axis is shrinking in the vertical because it is applying the aspect ratio appropriate for 15 N and the N/S extent of your data.  Either make the N/S extent of the map larger; make the left hand column wider; or make the figure shorter.

Cheers,   Jody

> On 25 Apr 2016, at  9:05 AM, Sudheer Joseph <sud...@ya...> wrote:
> 
> Hi,
>           I am looking for a layout as seen in the empty layout attached which is produced using 
> figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
> 
> However when I use it for getting attached second figure the layout gets modified as seen in attached figure 2.
> fig = p.figure(figsize=(20,8))
> ax=p.subplot(121)
> ax1=p.subplot(222)
> ax2=p.subplot(224)
> 
> Can any one suggest a way to get figure exactly as the empty layout?
> 
> With best regards,
> Sudheer
> 
> *************************************************************** Sudheer Joseph         Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo...@gm...;sud...@ya... Web- http://oppamthadathil.tripod.com ***************************************************************<req_layout.png><getting_layout.png>------------------------------------------------------------------------------
> Find and fix application performance issues faster with Applications Manager
> Applications Manager provides deep performance insights into multiple tiers of
> your business applications. It resolves application problems quickly and
> reduces your MTTR. Get your free trial!
> https://ad.doubleclick.net/ddm/clk/302982198;130105516;z_______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

--
Jody Klymak    
http://web.uvic.ca/~jklymak/

Your basemap plot is likely setting the aspect of the axes to "equal", so
it resizes the plot accordingly. Otherwise you'd have a pretty nasty amount
of vertical distortion.

When you save the figure, using bbox_inches='tight' will trim the excess
white space from the margins:
fig.savefig('map_and_bars.png', dpi=600, bbox_inches='tight')

Also, you should try the new viridis color map :)
http://matplotlib.org/users/colormaps.html?highlight=colormaps#miscellaneous



On Mon, Apr 25, 2016 at 9:05 AM, Sudheer Joseph <sud...@ya...>
wrote:

> Hi,
>            I am looking for a layout as seen in the empty layout attached
> which is produced using
> figsize(20,8),subplot(1,2,1);subplot(222);subplot(224)
>
> However when I use it for getting attached second figure the layout gets
> modified as seen in attached figure 2.
> fig = p.figure(figsize=(20,8))
> ax=p.subplot(121)
> ax1=p.subplot(222)
> ax2=p.subplot(224)
>
> Can any one suggest a way to get figure exactly as the empty layout?
>
> With best regards,
> Sudheer
>
> *************************************************************** Sudheer
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