这段代码非常有用，可以找到指定颜色相似的颜色，比如有一组8个颜色，现在给定一个rgb格式的演示，找出它与8个颜色中的哪一个最接近，如果你需要做一个按照图片颜色搜索图片的程序，这个就非常有用了。

from colorsys import rgb_to_hsv     colors = dict((  ((196, 2, 51), "RED"),  ((255, 165, 0), "ORANGE"),  ((255, 205, 0), "YELLOW"),  ((0, 128, 0), "GREEN"),  ((0, 0, 255), "BLUE"),  ((127, 0, 255), "VIOLET"),  ((0, 0, 0), "BLACK"),  ((255, 255, 255), "WHITE"),))     def to_hsv( color ):      """ converts color tuples to floats and then to hsv """      return rgb_to_hsv(*[x/255.0 for x in color]) #rgb_to_hsv wants floats!     def color_dist( c1, c2):      """ returns the squared euklidian distance between two color vectors in hsv space """      return sum( (a-b)**2 for a,b in zip(to_hsv(c1),to_hsv(c2)) )     def min_color_diff( color_to_match, colors):      """ returns the `(distance, color_name)` with the minimal distance to `colors`"""      return min( # overal best is the best match to any color:          (color_dist(color_to_match, test), colors[test]) # (distance to `test` color, color name)          for test in colors)     color_to_match = (255,255,0)  print min_color_diff( color_to_match, colors)