I need to find which percentile of a group of numbers is over a threshold value. Is there a way that this can be speed up? My implementation is much too slow for the intended application. In case this changes anything, I am running my program using `mpirun -np 100 python program.py`. I cannot use numba, as the rest of this program uses try/except statements.

    import numpy as np
    my_vals = []
    threshold_val = 0.065
    for i in range(60000):
        my_vals.append(np.random.normal(0.05, 0.02))
    
    upper_bound = 100
    lower_bound = 0
    perc = 50.0
    val = np.percentile(my_vals, perc)
    while abs(val - threshold_val) > 0.00001:
        print val
        if val > threshold_val:
            upper_bound = perc
            perc = (perc + lower_bound)/2
        else:
            lower_bound = perc
            perc = (perc+upper_bound)/2
        val = np.percentile(my_vals, perc)
    
    print perc