def linear_gradient()

in chartify/_core/colors.py [0:0]

• 9 lines of code
• 6 McCabe index (conditional complexity)

    def linear_gradient(self, finish_color, n=10):
        """Return a gradient list of (n) colors between
        two colors."""
        # Starting and ending colors in RGB form
        s = self.get_rgb()
        f = finish_color.get_rgb()
        # Initilize a list of the output colors with the starting color
        RGB_list = [s]
        # Calcuate a color at each evenly spaced value of t from 1 to n
        for t in range(1, n):
            # Interpolate RGB vector for color at the current value of t
            curr_vector = [(s[j] + (float(t) / (n - 1)) * (f[j] - s[j])) for j in range(3)]
            # Add it to our list of output colors
            RGB_list.append(curr_vector)
        RGB_list = [Color(rgb=r) for r in RGB_list]
        return RGB_list