a9ec1a8df7bbfd99d1e166fe5d72bafcc23c915b,periodic_table.py,,,#,9

Before Change

    write(img, fmt="img", caption="225px", width=225)
    write(img, fmt="img", caption="175px", width=175)
    write(img, fmt="img", caption="125px", width=125)
    channels = [np.array(img), np.array(img), np.array(img)]
    channels[0][:,:,1:] = 0
    channels[1][:,:,0::2] = 0
    channels[2][:,:,:-1] = 0
    write.img(channels, caption=["Red", "Green", "Blue"], width=125)

After Change

    img = np.array(Image.open(io.BytesIO(img_bytes)))
    grayscale = np.average(img, axis=2).astype(np.uint8)
    grayscale2 = grayscale.reshape(grayscale.shape + (1,))
    channels = img.transpose((2, 0, 1))
    channels2 = channels.reshape(channels.shape + (1,))
    channels_caption = ["Red", "Green", "Blue"]
    write(img, fmt="img", caption="375px", width=375)         //    (w, h, 3)
    write([img], fmt="img", caption="225px", width=225)       // (n, w, h, 3)
    write(grayscale, fmt="img", caption="175px", width=175)   //    (w, h)

Instances