= plc.LinearSegmentedColormap.from_list('Colormap name', ['r', 'g',
> 'b'],
> N=len(locs_un) )
> for n, i in enumerate(locs_un):
> # Reverse the comments here to use the mcm module 'hsv' colormap.
> ax.plot(dat
John,
I'll give this method a try also.
Thanks for the ideas!
Mike
John Ladasky-3 wrote:
>
> On Mon, 2011-10-03 at 12:49 -0700, Michael Castleton wrote:
>> Hello,
>> I am using Matplotlib 1.0.0 in Python 2.6.
>> I am trying to plot time series data of unique IDs
Ryan,
I should clarify my color issue. Your code is smart enough to generate
however many colors are needed but I want to make sure the colors are all
unique.
Thanks again!
Mike
Mike, sorry to send this twice... I should have sent it to the list as
well...
___
Mike,
Ryan,
I have tried setting c=locations (after converting to float) and gotten
inconsistent results. For a dataset with ~32,000 points it seems to work,
but a 2nd dataset of ~100,000 points colors everything the same even though
there are at least 10 locations.
Your second idea works nicely and I'm
Hello,
I am using Matplotlib 1.0.0 in Python 2.6.
I am trying to plot time series data of unique IDs and color the points
based on location. Each data point has a unique ID value, a date value, and
a location value.
The unique IDs and date values are plotting fine but I am unable to control
the co
