I would like to apply a thresholding operation to several grayscale images with different threshold values so that the output, which is displayed as a matplotlib plot, will be 15 or so different images with levels of threshold applied to each. The problem I am facing is that it only displays one image after it runs but if I say `print(dst.shape)` in the loop it will print 15 image shapes.

I have tried putting the output `dst` in a list so that I could access them by index `dst[2]` but this returned an error.

```
maxValue = 255
dst = []
for thresh in range(0, 255, 51):
    for img in imageB, imageG, imageR:
        th, dst = cv2.threshold(img, thresh, maxValue, cv2.THRESH_BINARY)
        #print(dst.shape)
        #print(len(dst))
        plt.imshow(dst)

```

What I am trying to achieve is 15 different images from the loop. Is this a matplotlib issue? Am I required to create a figure of a specific size then access each variable in the `dst` list? If so, why when I `print(len(dst))` does it only return the length of the rows in the image?