University of Washington

CSE 160import utils # noqa: F401, do not remove if using a Mac
# add your imports BELOW this line
def ones_and_tens_digit_histogram(numbers):
'''
Input:
a list of numbers.
Returns:
a list where the value at index i is the frequency in which digit i
appeared in the ones place OR the tens place in the input list. This
returned list will always have 10 numbers (representing the frequency
of digits 0 - 9).
For example, given the input list
[127, 426, 28, 9, 90]
This function will return
[0.2, 0.0, 0.3, 0.0, 0.0, 0.0, 0.1, 0.1, 0.1, 0.2]
That is, the digit 0 occurred in 20% of the one and tens places; 2 in 30%
of them; 6, 7, and 8 each in 10% of the ones and tens, and 9 occurred in
20% of the ones and tens.
See fraud_detection_tests.py for additional cases.
'''
histogram = [0] * 10
# first fill histogram with counts
for i in numbers:
# 1's place
histogram[i % 10] += 1
# 10's place
histogram[i // 10 % 10] += 1
# normalize over total counts
for i in range(len(histogram)):
histogram[i] /= len(numbers) * 2
return histogram
# Your Set of Functions for this assign