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Ah all right, thanks for the tips :)
I somehow missed that setting while browsing matplotlibrc

Cheers


On Sat, Jul 21, 2012 at 9:33 PM, Felix Patzelt wrote:
> You want this?
>
> ----
>
> import matplotlib as mpl
> mpl.rcParams['axes.color_cycle'] = ['#0000FF', '#00FF00', '#FF0000', '#00FFFF', 'FF00FF', 'FFFF00', '000000']
>
> # test it
> from pylab import *
> import matplotlib.cm as cm
>
> x = linspace(0, 2*pi, num=100, endpoint=True)
>
> for i in range(1, 10):
>     plot(x, sin(x + pi*i/10.0))
>
> show()
>
> ----
>
> I still think, that this is not a sensible default choice. Btw you can also easily generate your color scheme from colormaps:
>
> mpl.rcParams['axes.color_cycle'] = [cm.winter(i/10.) for i in range(10)].
>
> There also was an example in the Mailing list for how to do this on a per-plot-basis: https://gist.github.com/3150091

You want this?

----

import matplotlib as mpl
mpl.rcParams['axes.color_cycle'] = ['#0000FF', '#00FF00', '#FF0000', '#00FFFF', 'FF00FF', 'FFFF00', '000000']

# test it
from pylab import *
import matplotlib.cm as cm

x = linspace(0, 2*pi, num=100, endpoint=True)

for i in range(1, 10):
    plot(x, sin(x + pi*i/10.0))

show()

----

I still think, that this is not a sensible default choice. Btw you can also easily generate your color scheme from colormaps: 

mpl.rcParams['axes.color_cycle'] = [cm.winter(i/10.) for i in range(10)]. 

There also was an example in the Mailing list for how to do this on a per-plot-basis: https://gist.github.com/3150091


Am 21.07.2012 um 21:00 schrieb klo uo:

> On Sat, Jul 21, 2012 at 7:37 PM, Felix Patzelt wrote:
>> Have you ever been in a talk where someone uses 100% green on a slide? The result is usually that no one can see what is shown unless it is a really large green area.
> 
> No, but I would have expected in that case appropriate bg. I've seen a
> talk by MPL developer that he dislikes systems that help too much,
> like I want it to do what I tell it to do ;)
> Like cyan is not teal, and yellow is not 75% yellow etc.
> 
> I really would have expected that MPL uses some nifty CMYK scheme (as
> in CorelDraw approxiamtion i.e.) instead the one usually defined as in
> html color names: http://www.w3schools.com/html/html_colornames.asp
> which are commonly used (gnuplot i.e.), but MPL doesn't even use that
> 
> Can this colors be defined (i.e. in matplotlibrc) w/o changing MPL source?
> 
> 
>> My guess is that this happens because rod cells which are the most light sensitive ones have very similar wavelength responsiveness to the cone cells (the ones for color vision) which react to green light. Hence, you just don't have as much contrast for green text on a white background as you have for example for blue text. Also, green on black is much easier to read than blue or red on black by the same argument.
> 
> ------------------------------------------------------------------------------
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> threat landscape has changed and how IT managers can respond. Discussions 
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On Sat, Jul 21, 2012 at 7:37 PM, Felix Patzelt wrote:
> Have you ever been in a talk where someone uses 100% green on a slide? The result is usually that no one can see what is shown unless it is a really large green area.

No, but I would have expected in that case appropriate bg. I've seen a
talk by MPL developer that he dislikes systems that help too much,
like I want it to do what I tell it to do ;)
Like cyan is not teal, and yellow is not 75% yellow etc.

I really would have expected that MPL uses some nifty CMYK scheme (as
in CorelDraw approxiamtion i.e.) instead the one usually defined as in
html color names: http://www.w3schools.com/html/html_colornames.asp
which are commonly used (gnuplot i.e.), but MPL doesn't even use that

Can this colors be defined (i.e. in matplotlibrc) w/o changing MPL source?


> My guess is that this happens because rod cells which are the most light sensitive ones have very similar wavelength responsiveness to the cone cells (the ones for color vision) which react to green light. Hence, you just don't have as much contrast for green text on a white background as you have for example for blue text. Also, green on black is much easier to read than blue or red on black by the same argument.

Hey guys,

thanks for your answers. Nicolas, your showcase seems to be exactly
what I'm after. To make this a little more user-friendly it would be
nice to create ones own line style from this so that it can be easily
incorporated in the plotting command, i.e. ax.plot( .... ,
linestyle=myFancyLine) .

Anyway thanks a lot for pointing out that this can be done in
matplotlib already.

Benjamin

On Mon, Jul 16, 2012 at 2:12 PM, Nicolas Rougier
<Nic...@in...> wrote:
>
>
> Here is a quick example that might help you:
>
> http://www.loria.fr/~rougier/coding/gallery/showcase/showcase-10-large.png
> http://www.loria.fr/~rougier/coding/gallery/showcase/showcase-10.py
>
>
>
> Nicolas
>
>
> On Jul 16, 2012, at 11:27 , Daπid wrote:
>
>> On Mon, Jul 16, 2012 at 11:09 AM, Benjamin Jonen <bj...@gm...> wrote:
>>> 2) The coloring and the way the lines curve around looks very nice to
>>> me. I remember that the Excel charts did not have this nice look
>>> before Excel 2007. Can I achieve similar effects with matplotlib? I'm
>>> not really sure what creates this nice look, so this question is of
>>> course a little fuzzy.
>>
>> Maybe you are thinking about the smoothness of the curves. Even you
>> have spaced points, they don't do sharp edges. In my opinion, for
>> scientific research, they shouldn't be concealed in the general case,
>> and this is, I think, the main target of MPL.
>>
>> Nevertheless, if in your case it makes sense and you want them to be
>> smooth, you can do it through SciPy, applying a interpolation scheme.
>>
>> tck=scipy.interpolate(datax, datay)
>> datax_n=np.arange(datax.min(), datax.max(), len(datax)*20)
>> datay_n=sicpy.interpolate(splev(datax_n,tck,der=0)
>>
>> And then you plot datax_n and datay_n.
>>
>> http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html#spline-interpolation-in-1-d-procedural-interpolate-splxxx
>>
>> ------------------------------------------------------------------------------
>> Live Security Virtual Conference
>> Exclusive live event will cover all the ways today's security and
>> threat landscape has changed and how IT managers can respond. Discussions
>> will include endpoint security, mobile security and the latest in malware
>> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Have you ever been in a talk where someone uses 100% green on a slide? The result is usually that no one can see what is shown unless it is a really large green area. Green should be dark and not (0, 255, 0)! The same applies to cyan and yellow. Were the colors like you want them, they would be useless for lines and plot symbols. My guess is that this happens because rod cells which are the most light sensitive ones have very similar wavelength responsiveness to the cone cells (the ones for color vision) which react to green light. Hence, you just don't have as much contrast for green text on a white background as you have for example for blue text. Also, green on black is much easier to read than blue or red on black by the same argument.


Am 21.07.2012 um 19:21 schrieb klo uo:

> Hi,
> 
> I read previous mail about "colormaps" which reminded me to a question
> I had about MPL colors.
> Colors in MPL plots are dark, and pale, and not is some specific color
> theme but it's just pale dark.
> I thought that usually people make plots brighter (as more attractive ;) )
> 
> If you can, have a look at this plot I just made, and same image with
> same named colors as set by CorelDraw for example:
> http://i.imgur.com/y29xD.png
> 
> As you all probably know cyan is not cyan but teal, and green is with
> 50% green, and every color is not as expected, except red and blue.
> I don't know much about color systems and color space, so thought to
> ask why is it like this and if colors can be somehow differently
> defined at user end?
> 
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and 
> threat landscape has changed and how IT managers can respond. Discussions 
> will include endpoint security, mobile security and the latest in malware 
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi,

I read previous mail about "colormaps" which reminded me to a question
I had about MPL colors.
Colors in MPL plots are dark, and pale, and not is some specific color
theme but it's just pale dark.
I thought that usually people make plots brighter (as more attractive ;) )

If you can, have a look at this plot I just made, and same image with
same named colors as set by CorelDraw for example:
http://i.imgur.com/y29xD.png

As you all probably know cyan is not cyan but teal, and green is with
50% green, and every color is not as expected, except red and blue.
I don't know much about color systems and color space, so thought to
ask why is it like this and if colors can be somehow differently
defined at user end?

On 21/07/2012 05:15, Benjamin Root wrote:
> On Fri, Jul 20, 2012 at 10:55 PM, C M <cmp...@gm...> wrote:
>
>> How possible would it be to wrap y axis tick labels after a certain
>> text length?  I have a horizontal bar plot where some bars' labels are
>> too long and therefore cut off.  I can scrunch the width of the whole
>> plot to accommodate them, but I'd much rather wrap long text and allow
>> a little more space to accommodate two lines.  For examples:
>>
>> I'd like to go from this:
>>
>>                                 a short axis label |  ======================
>>
>> A very long axis label that gets cut off  |   =============
>>
>>
>> To this:
>>                                 a short axis label |  ======================
>>
>>                          A very long axis label  |   =============
>>                                  that gets cut off
>>
>>
>> Is this possible or has it ever been done?
>>
>> Thanks,
>> Che
>>
>>
> Not automatically, but you can always manually break up a line of text with
> a '\n' in the string.  Automatic/intelligent line wrapping has always been
> a requested feature, but would be very difficult to implement correctly.
> Therefore, the recommendation is for manual usage of newlines.

For the OP an example is here 
http://matplotlib.sourceforge.net/examples/pylab_examples/barchart_demo2.html

>
> Cheers!
> Ben Root
>
>
>
> ------------------------------------------------------------------------------
> Live Security Virtual Conference
> Exclusive live event will cover all the ways today's security and
> threat landscape has changed and how IT managers can respond. Discussions
> will include endpoint security, mobile security and the latest in malware
> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
>
>
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

-- 
Cheers.

Mark Lawrence.

On Fri, Jul 20, 2012 at 10:55 PM, C M <cmp...@gm...> wrote:

> How possible would it be to wrap y axis tick labels after a certain
> text length?  I have a horizontal bar plot where some bars' labels are
> too long and therefore cut off.  I can scrunch the width of the whole
> plot to accommodate them, but I'd much rather wrap long text and allow
> a little more space to accommodate two lines.  For examples:
>
> I'd like to go from this:
>
>                                a short axis label |  ======================
>
> A very long axis label that gets cut off  |   =============
>
>
> To this:
>                                a short axis label |  ======================
>
>                         A very long axis label  |   =============
>                                 that gets cut off
>
>
> Is this possible or has it ever been done?
>
> Thanks,
> Che
>
>
Not automatically, but you can always manually break up a line of text with
a '\n' in the string.  Automatic/intelligent line wrapping has always been
a requested feature, but would be very difficult to implement correctly.
Therefore, the recommendation is for manual usage of newlines.

Cheers!
Ben Root

How possible would it be to wrap y axis tick labels after a certain
text length?  I have a horizontal bar plot where some bars' labels are
too long and therefore cut off.  I can scrunch the width of the whole
plot to accommodate them, but I'd much rather wrap long text and allow
a little more space to accommodate two lines.  For examples:

I'd like to go from this:

                               a short axis label |  ======================

A very long axis label that gets cut off  |   =============


To this:
                               a short axis label |  ======================

                        A very long axis label  |   =============
                                that gets cut off


Is this possible or has it ever been done?

Thanks,
Che