I have a function which takes a dictionary and returns an acceleration a.
I put a list of data for a certain parameter (lets call it alpha) in that dictionary, and the function returned an array of 100 results(in respect to alpha).
Now I want to integrate these values one by one, to get let's say an array velocity v in respect to the parameter alpha ( so that i can plot these values in matplotlib).
Edit:
Actually i have a mechanical problem. The ladder is placed against the wall, and because its friction coefficient is too small it's starts sliding.
So i have written a function which returns the acceleration of that ladder for any angle between 30° and 90°(30 is the starting angle, and 90 is when the ladder is on the ground).
Anyways, I've calculated acceleration in respect to the angle alpha. I have the data stored in array a.
I tried scipy.integrate.simps() but that method returns the final velocity v. I've also tried scipy.integrate.quad() but returns the same result.
I would like to generate an array of velocities v which will contain a value for every angle, like in array of accelerations - a
It sounds like you want to perform cumulative quadrature on an array of values. In that case, scipy.integrate.cumtrapz should do want you want. That will perform a cumulative integration using the trapezoidal rule on the supplied array, yielding an array of outputs the same size in the inputs. You control in initial value via a separate argument if it is non-zero.