# Iterate through the pixels
        for x in range(self.width):       # yes this double loop is slow,
            for y in range(self.height):  #  but these displays are small!
                pix = color565(img.getpixel((x, y)))
                pixels[2*(y * self.width + x)] = pix >> 8
                pixels[2*(y * self.width + x) + 1] = pix & 0xFF

pixelbytes = list(image_to_data(image))
self.display._block(0, 0, self.display.width-1, self.display.height - 1, pixelbytes)

def image_to_data(image):
    """Generator function to convert a PIL image to 16-bit 565 RGB bytes."""
    #NumPy is much faster at doing this. NumPy code provided by:
    #Keith (https://www.blogger.com/profile/02555547344016007163)
    pb = np.array(image.convert('RGB')).astype('uint16')
    color = ((pb[:,:,0] & 0xF8) << 8) | ((pb[:,:,1] & 0xFC) << 3) | (pb[:,:,2] >> 3)
    return np.dstack(((color >> 8) & 0xFF, color & 0xFF)).flatten().tolist()