I have a number generator/counter that will output increasingly higher values ranging from 1 to 1,000.
Once it reaches 1,000, the count is reset and restarts.
The total numbers generated between 1--1,000 is variable and random.
The delta between numbers is variable and random.
Example:
1, 45, 120, 300, 590, 700, 750, 967
3, 4, 212, 400, 660, 800, 850, 901, 967, 998
50, 90, 121, 603, 780, 833, 890
I need to trigger an action every time the counter passes a certain pre-determined threshold. For example, if the threshold were 100th, that would mean if a new hundred-handle is generated, that would trigger the action.
100 -> action
120
350 -> action
355
378
490 -> action
600 -> action
601
677
905 -> action
I'm blocked in how to resolve this. I though of using the modulus operator but that won't suffice as the generated numbers are unpredictable and their divisibility cannot be pre-determined.
Any ideas how to accomplish this task? TIA
You can use floor division by your step, then compute the successive differences to identify the groups:
group = a//100
# array([0, 0, 1, 3, 5, 7, 7, 9, 0, 0, 2, 4, 6, 8, 8, 9, 9, 9, 0, 0, 1, 6,
# 7, 8, 8])
actions = np.r_[True, np.diff(group)!=0]
# array([ True, False, True, True, True, True, False, True, True,
# False, True, True, True, True, False, True, False, False,
# True, False, True, True, True, True, False])
As a single array:
np.vstack([a, actions]).T
array([[ 1, 1],
[ 45, 0],
[120, 1],
[300, 1],
[590, 1],
[700, 1],
[750, 0],
[967, 1],
[ 3, 1],
[ 4, 0],
[212, 1],
[400, 1],
[660, 1],
[800, 1],
[850, 0],
[901, 1],
[967, 0],
[998, 0],
[ 50, 1],
[ 90, 0],
[121, 1],
[603, 1],
[780, 1],
[833, 1],
[890, 0]])