try:
file, pathname, description = find_module(algo, ['rating_algo'])
assert file
ratingalgorithm = load_module(algo, file, pathname, description).__dict__[algo]
except Exception, e:
raise e
if normalize:
newcolumniter = normalizeCol( ratingalgorithm(file=originalfile) )
else:
newcolumniter = ratingalgorithm(file=originalfile)
WriteNewColOnCsv(newfield, newcolumniter, newfile, originalfile)
JCR = JamendoCsvReader(newfile)
printChart(JCR, chartN, newfield, oldfield )
if int(plot):
plot_rating_stats(JCR, oldfield, title=oldfield, show=False, nozero=nozero)
plot_rating_stats(JCR, newfield, title=newfield, show=False, nozero=nozero)
compareJCRColumns(JCR, [oldfield, 'weighted_avg_agreed_note', newfield], sortkey=newfield, \
title='comparare %s and %s (values aligned by same ids)' % (oldfield, newfield))
test_algo(*argv[1:])
path.append('../')
from core.JamendoCsvReader import JamendoCsvReader
from core.JamendoPlotFuncs import compareJCRColumns
from core.utils import *
import matplotlib.pyplot as plt
import numpy as np
JCR = JamendoCsvReader('stats_album_total.csv')
#COMPARING WIDGET FIELDS
compareJCRColumns(JCR, ["widgetplayed","widgetviewed","widgetused","widgetuniques"], sortkey="widgetviewed", \
filterfunc=filterfieldsunder(['widgetviewed', 'widgetplayed' ], 10000), semilog=True, show=False )
#FIELDS COMPARING, SORTING BY AGE
p = ["days_since_publication","shared", "playlisted","downloads_all","listened_logged","reviews_all"]
compareJCRColumns(JCR, p, sortkey="days_since_publication", semilog=True, plotlines=['y--','b-','g-','r-','c-','m-'], \
show=False, title='compare fields on album sorted by age (from the oldest to the youngest)')
#COMPARE ON ANOTHER FILE
compareJCRColumns(JamendoCsvReader('stats_artist_total.csv'), ["playlisters_logged", "starers_logged"], \
sortkey="playlisters_logged", semilog=True)
