Finding if there are n data points in a row that are less than a certain number

I am working with a spectrum in Python and I have fit a line to that spectrum. I want a code that can detect if there have been let's say, 10, data points on the spectrum in a row that are less than the fitted line. Does anyone know how a simple and quick way to do this?

I currently have something like this:

count = 0
for i in range(lowerbound, upperbound):
    if spectrum[i] < fittedline[i]
        count += 1
    if count > 15:
        *do whatever*

If I changed the first if statement line to be:

if spectrum[i] < fittedline[i] & spectrum[i+1] < fittedline[i+1] & so on

I'm sure the algorithm would work, but is there a smarter way for me to automate this in the case where I want the user to input a number for how many data points in a row must be less than the fitted line?

Your attempt is pretty close to working! For consecutive points, all you need to do is reset the count if one point doesn't satisfy your condition.

num_points = int(input("How many points must be less than the fitted line? "))

count = 0
for i in range(lowerbound, upperbound):
    if spectrum[i] < fittedline[i]:
        count += 1
    else: # If the current point is NOT below the threshold, reset the count
        count = 0

    if count >= num_points:
        print(f"{count} consecutive points found at location {i-count+1}-{i}!")

Let's test this:

lowerbound = 0
upperbound = 10

num_points = 5

spectrum = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
fittedline = [1, 2, 10, 10, 10, 10, 10, 8, 9, 10]

Running the code with these values gives:

5 consecutive points found at location 2-6!