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Create a weighted US map based on state data

I have a list of state level data with numbers for each state, for example:

AL  10.5
AK  45.6
AZ  23.4
AR  15.0
...

and I want to turn it into a weighted map, with the darkest one, where the number is the highest and the easiest here, it is the lowest. Is there any java or python software or library capable of generating such an image?

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If you want to create it yourself, you only need a good map, a set of positions for each state on this map and a fill fill.

Using the map http://www.clker.com/cliparts/S/r/a/w/L/0/black-and-white-us-map-hi.png , this is what we get:

enter image description here

import sys
from PIL import Image


def floodfill(img, seed, color):
    im = img.load()
    work = [seed]
    start_color = im[seed]
    while work:
        x, y = work.pop()
        im[x, y] = color
        for dx, dy in ((-1,0), (1,0), (0,-1), (0,1)):
            nx, ny = x + dx, y + dy
            if im[nx, ny] == start_color:
                work.append((nx, ny))


USA_MAP = Image.open(sys.argv[1]).convert('1')
POINT_STATE = {'AL': (420, 260), 'AZ': (110, 240), 'AR': (350, 250)}

painted_map = USA_MAP.convert('L')
data = {'AL': 10.5, 'AZ': 23.4, 'AR': 15.0}
# Normalize data based on the minimum weight being 0+eps and maximum 30.
for k, v in data.items():
    v = v/30.
    color = int(round(255 * v))
    floodfill(painted_map, POINT_STATE[k], 255 - color)

painted_map.save(sys.argv[2])
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