Hi Ben,
Thanks for the suggestion, unfortunately I get:
Traceback (most recent call last):
File "spin_bank.py", line 43, in ?
newBlues = mcolors.LinearSegmentedColormap.from_list("newBlues",
cm.Blues._lut[cm.Blues.N/3:-3, :-1], 256)
AttributeError: class LinearSegmentedColormap has no attribute 'from_list'
Am I missing something?
Thanks
Ian
On 10 December 2010 15:50, Benjamin Root <ben.r...@ou.edu> wrote:
> On Thu, Dec 9, 2010 at 9:01 AM, Ian Harry <ian.ha...@astro.cf.ac.uk>wrote:
>
>> Hi all,
>>
>> I am having a problem with manipulating colorbars. I want to take the
>> cm.Blues colorbar and edit it so that the lowest end of the colorbar is
>> light blue instead of white, or in other words I want to remove the lightest
>> 1/4 of the colorbar and just keep the darker end.
>>
>> Is there any easy way to do this?
>>
>> Any help would be greatly appreciated!
>>
>> Thanks
>>
>> Ian Harry
>>
>>
> Ian,
>
> First, as a point of semantics, you are talking about colormaps, not
> colorbars.
>
> I have attempted at one point a framework to allow users to manipulate
> colormaps, but it is very difficult to make it work in a generalized
> framework. However, it is "relatively" easier to specifically hack a
> particular colormap to get the results you need.
>
> import matplotlib.cm as cm
> import matplotlib.colors as mcolors
>
> cm.Blues._init() # forces it to internally create the '_lut'
> array
> newBlues = mcolors.LinearSegmentedColormap.from_list("newBlues",
> cm.Blues._lut[cm.Blues.N/3:-3, :-1], 256)
>
> This should create a new colormap by reinterpolating the last 2/3rds of the
> Blues colordata to a new 256 colors colormap.
>
> I hope this helps!
>
> Ben Root
>
>
--
---------------------------------------------------------------------------
Ian Harry
School of Physics & Astronomy
Queens Buildings, The Parade
Cardiff, CF24 3AA
Email: ian.ha...@astro.cf.ac.uk
Phone: (+44) 29 208 75120
Mobile: (+44) 7890 479090
---------------------------------------------------------------------------
------------------------------------------------------------------------------
Oracle to DB2 Conversion Guide: Learn learn about native support for PL/SQL,
new data types, scalar functions, improved concurrency, built-in packages,
OCI, SQL*Plus, data movement tools, best practices and more.
http://p.sf.net/sfu/oracle-sfdev2dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
