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On Mon, Jan 21, 2013 at 11:44 AM, Ryan May <rm...@gm...> wrote:
> Hi,
>
> Just ran across this article that shows a familiar looking graph. Just
> another encounter of matplotlib in daily life.
>
> http://www.wired.com/wiredenterprise/2013/01/google-password/2/
Here's another one, too:
http://www.wired.com/wiredscience/2013/01/why-are-lego-sets-expensive/
Maybe the next wired article will use the SVG backend :)
>
> Ryan
>
>
> --
> Ryan May
> Graduate Research Assistant
> School of Meteorology
> University of Oklahoma
>
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-- 
Damon McDougall
http://www.damon-is-a-geek.com
Institute for Computational Engineering Sciences
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Hi,
Just ran across this article that shows a familiar looking graph. Just
another encounter of matplotlib in daily life.
http://www.wired.com/wiredenterprise/2013/01/google-password/2/
Ryan
-- 
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma

done!
https://github.com/matplotlib/matplotlib/issues/1692
cheers
Thomas
Am 21.01.2013 um 18:04 schrieb Benjamin Root:
> Hi folks!
> maybe you can point me in the right direction:
> 
> I have a list of colour measurements in Lab-Space(stored in an h5 table). Now, 3d-scatterplotting them was easy, also, assigning the corresponding rgb colour value to the spots is relatively easy.
> 
> For the plot i use:
> 
> p=ax.scatter3D(table.cols.Lab_a[:],table.cols.Lab_b[:],table.cols.Lab_L[:],c=cols)
> 
> Now, the annoying part: when i move around the figure with the mouse, the points in the background get "dimmed" or shaded down to less saturation. Now in my case, i want to turn this behaviour off, since i want the points to be the colour they represent, all the time.
> 
> How do i do this?
> 
> thanks for your help
> 
> Thomas
> 
> 
> 
> Unfortunately, there is no setting to turn this feature off. However, I don't see why it couldn't be done. It would be great if you could file a feature request on our github page.
> 
> Cheers!
> Ben Root

On Mon, Jan 21, 2013 at 7:42 AM, Thomas Sprinzing <
spr...@hd...> wrote:
> Hi folks!
> maybe you can point me in the right direction:
>
> I have a list of colour measurements in Lab-Space(stored in an h5 table).
> Now, 3d-scatterplotting them was easy, also, assigning the corresponding
> rgb colour value to the spots is relatively easy.
>
> For the plot i use:
>
>
> p=ax.scatter3D(table.cols.Lab_a[:],table.cols.Lab_b[:],table.cols.Lab_L[:],c=cols)
>
> Now, the annoying part: when i move around the figure with the mouse, the
> points in the background get "dimmed" or shaded down to less saturation.
> Now in my case, i want to turn this behaviour off, since i want the points
> to be the colour they represent, all the time.
>
> How do i do this?
>
> thanks for your help
>
> Thomas
>
>
>
Unfortunately, there is no setting to turn this feature off. However, I
don't see why it couldn't be done. It would be great if you could file a
feature request on our github page.
Cheers!
Ben Root

I have installed MPL 1.2.0 but it's still laggy...
2013年1月18日 Paul Hobson <pmh...@gm...>
>
> On Thu, Jan 17, 2013 at 8:10 AM, Fabien Lafont <laf...@gm...>wrote:
>
>> Thanks! I have: Qt4Agg
>>
>>
>>
>> 2013年1月17日 Benjamin Root <ben...@ou...>
>>
>>>
>>> On Thu, Jan 17, 2013 at 8:43 AM, Fabien Lafont <laf...@gm...>wrote:
>>>
>>>> What is a backend??? The version number? I'm using Matplotlib 1.1.1
>>>>
>>>>
>>> from pylab import *
>>> get_backend()
>>>
>>> Ben Root
>>>
>>>
> It is probably coincidence, but I noted MPL running way faster when I
> stopped using QT4Agg and upgraded to 1.2.0.
>
> Try upgrading and report back.
> -paul
>

Hi folks!
maybe you can point me in the right direction:
I have a list of colour measurements in Lab-Space(stored in an h5 table). Now, 3d-scatterplotting them was easy, also, assigning the corresponding rgb colour value to the spots is relatively easy.
For the plot i use:
p=ax.scatter3D(table.cols.Lab_a[:],table.cols.Lab_b[:],table.cols.Lab_L[:],c=cols)
Now, the annoying part: when i move around the figure with the mouse, the points in the background get "dimmed" or shaded down to less saturation. Now in my case, i want to turn this behaviour off, since i want the points to be the colour they represent, all the time.
How do i do this?
thanks for your help
Thomas
## values in "table"
from colormath.color_objects import LabColor
cols=[]
for row in table[:]:
 cols.append(LabColor(lab_l=row['Lab_L'],lab_a=row['Lab_a'],lab_b=row['Lab_b']).convert_to('rgb').get_rgb_hex())
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.set_xlabel('a')
ax.set_ylabel('b')
ax.set_zlabel('L')
ax.set_xlim(-100,100)
ax.set_ylim(-100,100)
ax.set_zlim(0,100)
fig.show()

I am making a heat map and want to label each row. I thus need the font 
size of the text to scale with the number of rows in the heat map. Is 
there a way to find out the length in points of an axes object so I can 
divide this by the number of rows and thus figure out how big to make 
the text?
Thanks for the help

Are there any way to make column scatter plots with matplotlib. They are also
called beeswarm plot. plotSpread is implemented in matlab, which seems to do
the job, but I can't find it in matplotlib.
Thanks,
Chris
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