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 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 color and subsequently the legend.
> I've been trying to figure out how to set color = locations with no success.
> Any ideas out there?
Michael, if I were you, I would reorganize and group your data into
several separate scatter data sets, based on the location parameter.
Then, color each SET the color that you want. Here's a start, from the
data as you provided it:
>>> points = [(a, b, c) for a, b, c in zip(locations, IDs, dates)]
>>> for p in points:
print p
('201', 47, 733315.83240741002)
('207', 33, 733315.83521991002)
('207', 47, 733315.83681712998)
('205', 12, 733315.83788193995)
('204', 50, 733336.54554397997)
('201', 50, 733336.54731480998)
('209', 27, 733337.99842593004)
('209', 27, 733337.99943286995)
('207', 16, 733338.00070602004)
('207', 27, 733338.00252314995)
>>> def make_dict(lst):
d = {}
for a, b, c in lst:
try:
d[a][0].append(b)
d[a][1].append(c)
except KeyError:
d[a] = ([b],[c])
return d
>>> collated = make_dict(points)
>>> for k in collated:
print k, collated[k]
201 ([47, 50], [733315.83240741002, 733336.54731480998])
209 ([27, 27], [733337.99842593004, 733337.99943286995])
205 ([12], [733315.83788193995])
204 ([50], [733336.54554397997])
207 ([33, 47, 16, 27], [733315.83521991002, 733315.83681712998,
733338.00070602004, 733338.00252314995])
>From collated, you could then plot five scattergrams, each of a
different color, in the same axes object.
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