# normalize score by post counts
for i in range(len(dayHours)):
for j in range(len(dayHours[i])):
if dayHours[i][j] == 0 or not votes: continue
dayHours[i][j] /= float(dayCounts[i][j])
# output CSV style data
for day in dayHours:
dayStr = '' # build up
for hourValue in day:
dayStr += str(hourValue) + ', '
print(dayStr[:-2])
print('') # add new line
# get a general statistical summary
allYaks = Yak.select() # no where() specified
summarizeYaks(allYaks, 'All Collected Yaks')
# get statistical summaries by school
stanford = Yak.select().where(Yak.school == 1)
alabama = Yak.select().where(Yak.school == 2)
berkeley = Yak.select().where(Yak.school == 3)
dartmouth = Yak.select().where(Yak.school == 4)
haverford = Yak.select().where(Yak.school == 5)
boulder = Yak.select().where(Yak.school == 6)
oxford = Yak.select().where(Yak.school == 7)
summarizeYaks(stanford, 'Stanford University')
summarizeYaks(alabama, 'University of Alabama')
summarizeYaks(berkeley, 'UC Berkeley')
summarizeYaks(dartmouth, 'Dartmouth College')
def getCursorForBreakdown(school):
schoolYakIDs = [] # read in
with open('data/samples/schools/' + str(school) + '.txt', 'r') as file:
schoolYakIDs = [int(line.rstrip('\n')) for line in file]
return Yak.select().where(Yak.id << schoolYakIDs)
# File: sampling.py
# Sampling Random Content
from peewee import fn
from models import Yak
# sample school Yaks
for i in range(1, 8):
yaks = Yak.select().where(Yak.school == i) \
.order_by(fn.Random()).limit(100) # 100 random
yakIDs = [yak.id for yak in yaks]
# write sampled yak IDs to a sample text file
filename = 'data/samples/schools/' + str(i) + '.txt'
with open(filename, 'w') as file:
for yakID in yakIDs: # per line
file.write('%s\n' % str(yakID))
# top yaks are simply the top 100 yaks ordered by their final like count
topYaks = Yak.select().order_by(Yak.finalLikeCount.desc()).limit(100)
lowYaks = Yak.select().where(Yak.finalLikeCount == -4) \
.order_by(fn.Random()).limit(100) # 100 random low yaks
# write top yak IDs to a sample file
filename = 'data/samples/topYaks.txt'
yakIDs = [yak.id for yak in topYaks]
with open(filename, 'w') as file:
for yakID in yakIDs: # per line
file.write('%s\n' % str(yakID))
# write low yak IDs to a sample file
