jweinst1
11/20/2015 - 8:53 PM

some functions and generators for analyzing patterns and predictive analysis

some functions and generators for analyzing patterns and predictive analysis

#make random 1's and 0's

def binary_lst(length):
    import random
    return [random.randrange(0,2) for elem in range(length)]
  #string of random 1's and 0's  
def binary_str(length):
    import random
    return ''.join([str(random.randrange(0,2)) for elem in range(length)])
#gets more common element in list    
def binary_mode(lst):
    count = {lst.count(elem):elem for elem in [0, 1]}
    return count[max(count.keys())]

#gets most common element in list increment
#   f[::2]
#=> [1, 3, 5, 7]
def mode_slice(lst, n):
    return binary_mode(lst[::n])