How do I find the index of the max value in a specific range of np.array?

Question

I have intensity values over time that I saved in a one-dimensional numpy array called cell. I calculate a maximum during a certain time window by:

peak = max(cell[750:791])

Now I want to have the index of this specific peak value but only in the same time window. I tried:

idx_peak = np.where(cell[750:791] == peak)

But this seems to give me all the indices from the entire array. How can I apply np.where in my specific time window? I hope my question is clear.

AvielNiego · Accepted Answer · 2020-12-16 16:32:07Z

1

Just use

idx_peak = cell[750:791].argmax()

answered Dec 16, 2020 at 16:32

AvielNiego

1,2732 gold badges14 silver badges28 bronze badges

Sign up to request clarification or add additional context in comments.

5 Comments

na_mu Over a year ago

That didn't seem to solve the problem... The resulting index is at the very beginning of my trace.

AvielNiego Over a year ago

does adding 750 to the result helps? as argmax gives you the max index within the range of 750 to 791 so if you want the absolute index you should add 750 to it

na_mu Over a year ago

YES!!!! thank you so much ! Addition of 750 to argmax did the trick.

AvielNiego Over a year ago

glad to help :)

sai Over a year ago

@na_mu please accept the answer if your query has been addressed, this will mark the question as answered

Collectives™ on Stack Overflow

How do I find the index of the max value in a specific range of np.array?

1 Answer 1

5 Comments

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

5 Comments

Related