def runTest(self):
stats = pd.DataFrame([dict(PLAYER='Kobe', POS='SG'), dict(PLAYER='T-Mac', POS='SG'),\
dict(PLAYER='Yao Ming', POS='C'), dict(PLAYER='Tim Duncan', POS='PF'),\
dict(PLAYER='Kevin Garnett', POS='PF'), dict(PLAYER='LeBron', POS='SF'),\
dict(PLAYER='Kevin Durant', POS='SF'), dict(PLAYER='Melo', POS='SF'),\
dict(PLAYER='Steve Nash', POS='PG')])
counts = count_position(stats)
self.assertTrue((counts == np.array([1, 2, 3, 2, 1])).all())
def runTest(self):
stats = pd.DataFrame([dict(PLAYER='Kobe', POS='SG'), dict(PLAYER='T-Mac', POS='SG'),\
dict(PLAYER='Yao Ming', POS='C'), dict(PLAYER='Tim Duncan', POS='PF'),\
dict(PLAYER='Kevin Garnett', POS='PF'), dict(PLAYER='LeBron', POS='SF'),\
dict(PLAYER='Kevin Durant', POS='SF'), dict(PLAYER='Melo', POS='SF'),\
dict(PLAYER='Steve Nash', POS='PG')])
counts = count_position(stats)
self.assertTrue((counts==np.array([1, 2, 3, 2, 1])).all())
def get(self):
position_counts = {} # store position counts for each year
for year in YEARS:
try:
stats = pd.read_csv(FILE_DIR + '/nbastats/static/data/stats_{}.csv'.format(year))
except IOError as e:
continue
position_counts[year] = utility.count_position(stats)
self.write(rendering.render_league_info(position_counts, TEMPLATE_DIR, 'league_info.html'))
def get(self):
position_counts = {} # store position counts for each year
for year in YEARS:
try:
stats = pd.read_csv(
FILE_DIR +
'/nbastats/static/data/stats_{}.csv'.format(year))
except IOError as e:
continue
position_counts[year] = utility.count_position(stats)
self.write(
rendering.render_league_info(position_counts, TEMPLATE_DIR,
'league_info.html'))
