11. Oversize Byte array images

11.1. Wide array

An example of a wide array is shown below.
It has 5 rows, but 20 columns.
Each row has the same pixel brightness pattern.
The pixel brightness is a gradient from left to right of decreasing brightness then increasing brightness.
The last 4 columns match the first 4 columns to make sure that a sideways animation is smooth.
After the last 4 columns are displayed, the next image will be the first 5 columns or vice versa.
from microbit import *

wide_arr = [
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
]
The wide_arr list has to be converted to the form (a single list with no nesting) required to be used by the bytearray function.
A simplest approach is to use the extend method for each nested list indexed as wide_arr[y].
from microbit import *


wide_arr = [
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
]

img_array = list()
for y in range(5):
    img_array.extend(wide_arr[y])
Below is the first draft of code that animates the array from right to left.
The wide_img is first made using wide_img = Image(width, 5, bytearray(img_array))
Then it is shifted by i pixels (where i is from 0 to 15) to the left using wide_img.shift_left(i)
Note that in the range function (width - 3) the aim is to get the last 5 pixels: 8, 9, 8, 7, 6.
The end 6 corresponds to the index given by width - 1.
The end frame starts with the 8 which corresponds to the index given by width - 5.
Since range stops 1 before the stop value, range(width - 4) is needed.
from microbit import *

wide_arr = [
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
]

width = len(wide_arr[0])
img_array = list()
for y in range(5):
    img_array.extend(wide_arr[y])

wide_img = Image(width, 5, bytearray(img_array))

while True:
    for i in range(width - 4):
        shown_img = wide_img.shift_left(i)
        display.show(shown_img)
        sleep(100)

Tasks

  1. Modify the code to use a function that returns the wide_img from the wide_arr.

Modify the code to use a function that returns the wide_img from the wide_arr.

from microbit import *


wide_arr = [
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6],
]


def get_wide_img_from_array(wide_arr):
    img_array = list()
    for y in range(5):
        img_array.extend(wide_arr[y])
    width = len(wide_arr[0])
    wide_img = Image(width, 5, bytearray(img_array))
    return wide_img


wide_img = get_wide_img_from_array(wide_arr)
width = len(wide_arr[0])
while True:
    for i in range(width - 4):
        shown_img = wide_img.shift_left(i)
        display.show(shown_img)
        sleep(100)

Exercise

  1. Design your own wide array and explore shifting left.

An example is a diagonal wide array:
wide_arr = [
    [9, 8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6, 5],
    [8, 7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6, 5, 4],
    [7, 6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6, 5, 4, 3],
    [6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6, 5, 4, 3, 2],
    [5, 4, 3, 2, 1, 2, 3, 4, 5, 6, 7, 8, 9, 8, 7, 6, 5, 4, 3, 2, 1],
]

11.2. Tall array

An example of a tall array is shown below.
It has 5 rows, but 20 columns.
from microbit import *

tall_arr = [
    [1, 1, 1, 1, 1],
    [2, 2, 2, 2, 2],
    [3, 3, 3, 3, 3],
    [4, 4, 4, 4, 4],
    [5, 5, 5, 5, 5],
    [6, 6, 6, 6, 6],
    [7, 7, 7, 7, 7],
    [8, 8, 8, 8, 8],
    [9, 9, 9, 9, 9],
    [9, 9, 9, 9, 9],
    [8, 8, 8, 8, 8],
    [7, 7, 7, 7, 7],
    [6, 6, 6, 6, 6],
    [5, 5, 5, 5, 5],
    [4, 4, 4, 4, 4],
    [3, 3, 3, 3, 3],
    [2, 2, 2, 2, 2],
    [1, 1, 1, 1, 1],
    [2, 2, 2, 2, 2],
    [3, 3, 3, 3, 3],
    [4, 4, 4, 4, 4],
]

height = len(tall_arr)
img_array = list()
for y in range(height):
    for x in range(5):
        img_array.append(tall_arr[y][x])
tall_img = Image(5, height, bytearray(img_array))

while True:
    for i in range(height - 5):
        shown_img = tall_img.shift_up(i)
        display.show(shown_img)
        sleep(100)

Exercise

  1. Modify the code to use a function that returns the tall_img from the tall_arr.

  2. Design your own tall array and explore shifting up.

Exercise

  1. Design your own big array (tall and wide), modify a function to produce the image from it, and explore shifting up and right in combination.