Created
March 22, 2015 06:40
-
-
Save amckinley/4d126566f285b8143a68 to your computer and use it in GitHub Desktop.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from __future__ import print_function | |
from os.path import basename | |
import math | |
import sys | |
import numpy as np | |
# FIXME: look into decimal type | |
def main(): | |
if len(sys.argv) != 2: | |
sys.exit("%s: <infile>" % basename(sys.argv[0])) | |
# Country codes conform to format defined by ISO 3166-1 alpha-2 | |
ccode = basename(sys.argv[1]).split('_')[0] | |
# Analaysis | |
p = { key: None for key in [.50, .75, .85, .90, .95, .99] } | |
with open(sys.argv[1], 'rU') as f: | |
lines = map(float, f) | |
arr = np.array(lines) | |
count = arr.size | |
maximum = np.amax(arr) | |
# Presentation | |
#print("Country\tp50\tp75\tp85\tp90\tp95\tp99\tMean\tMax\tSigma\tCount") | |
# Country | |
print("%s\t" % ccode, end='') | |
# Percentiles | |
for k in sorted(p.keys()): | |
res = np.percentile(arr, k * 100) | |
print("%d\t" % res, end='') | |
# Misc stats | |
print("%d\t%d\t%d\t%d" % (0, maximum, 0, count)) | |
if __name__ == '__main__': | |
main() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment