Bootstrapping with replacement function

I need help figuring out how to write a function that accepts:

• sample of values as a list
• user-determined statistics to be bootstrapped
• number of times to bootstrap

function should return a list of bootstrapped statistics that is the same length as the third argument listed above.

For example function should be able to run bootstrap(lst,np.mean,100) and have returned a list of 100 bootstrapped means for lst.

It would also need to use np.random.choice.