def main():
playoffsdf = pd.read_csv("Goaltending_playoffs.csv", sep=',')
playoffsdf = modifydf(playoffsdf, True)
regulardf = pd.read_csv("Goaltending_regularSeason.csv", sep=',')
regulardf.rename(columns={'Season': 'Year'}, inplace=True)
regulardf = modifydf(regulardf, False)
pensPlayoffdf = playoffsdf[(playoffsdf.Tm == 'PIT')]
pensRegulardf = regulardf[(regulardf.Tm == 'PIT')]
savePercent = getDataFrame(pensPlayoffdf, pensRegulardf, 'SV%', True)
plotFigure(savePercent, "bar",
"Penguins Goalies Save Percentage, 2009-2014", "Goaltenders",
"Save Percentage", ('black', 'gold'), (12, 8), 0,
"save_percent.png", True, [80, 95])
gaa = getDataFrame(pensPlayoffdf, pensRegulardf, 'GAA', False)
plotFigure(gaa, "bar", "Penguins Goalies Goals Against Average, 2009-2014",
"Goaltenders", "Goals Against Average (GAA)", ('black', 'gold'),
(12, 8), 0, "gaa.png", False, [0, 0])
spg = getDataFrame(pensPlayoffdf, pensRegulardf, 'SPG', False)
plotFigure(spg, "bar", "Penguins Goalies Shots Faced Per Game, 2009-2014",
"Goaltenders", "Shots Faced Per Game", ('black', 'gold'),
(12, 8), 0, "spg.png", False, [0, 0])
winners = (('2009', 'Fleury', 'PIT'), ('2010', 'Niemi', 'CHI'),
('2011', 'Thomas', 'BOS'), ('2012', 'Quick', 'LAK'),
('2013', 'Crawford', 'CHI'), ('2014', 'Lundqvist',
'NYR'), ('2014', 'Quick', 'LAK'))
winnerShots = pd.Series(np.array([
playoffsdf.iloc[i]['SPG'] for i in range(len(playoffsdf))
if (str(playoffsdf.iloc[i]['Year']), playoffsdf.iloc[i]['Player'],
playoffsdf.iloc[i]['Tm']) in winners
]),
index=np.array(
('Fleury 2009', 'Niemi 2010', 'Thomas 2011',
'Quick 2012', 'Crawford 2013',
'Lundqvist 2014', 'Quick 2014')))
plotFigure(winnerShots, "bar",
"Stanley Cup Winning Goalies Shots Faced Per Game, 2009-2014",
"Goaltenders", "Shots Faced Per Game", ('gold'), (12, 8), 0,
"winnersSPG.png", False, [0, 0])
idx = createIndex(playoffsdf)
goalieStatsdf = playoffsdf[['SV%', 'GAA']]
clusterList = clusterGoalies(goalieStatsdf, idx, 10)
for num, cluster in enumerate(clusterList):
print "Cluster%s: %s" % (num + 1, ", ".join(cluster))
def main():
playoffsdf = pd.read_csv("Goaltending_playoffs.csv", sep=',')
playoffsdf = modifydf(playoffsdf, True)
regulardf = pd.read_csv("Goaltending_regularSeason.csv", sep=',')
regulardf.rename(columns={'Season': 'Year'}, inplace=True)
regulardf = modifydf(regulardf, False)
pensPlayoffdf = playoffsdf[(playoffsdf.Tm == 'PIT')]
pensRegulardf = regulardf[(regulardf.Tm == 'PIT')]
savePercent = getDataFrame(pensPlayoffdf, pensRegulardf, 'SV%', True)
plotFigure(savePercent, "bar", "Penguins Goalies Save Percentage, 2009-2014", "Goaltenders", "Save Percentage", ('black', 'gold'), (12, 8), 0, "save_percent.png", True, [80, 95])
gaa = getDataFrame(pensPlayoffdf, pensRegulardf, 'GAA', False)
plotFigure(gaa, "bar", "Penguins Goalies Goals Against Average, 2009-2014", "Goaltenders", "Goals Against Average (GAA)", ('black', 'gold'), (12, 8), 0, "gaa.png", False, [0, 0])
spg = getDataFrame(pensPlayoffdf, pensRegulardf, 'SPG', False)
plotFigure(spg, "bar", "Penguins Goalies Shots Faced Per Game, 2009-2014", "Goaltenders", "Shots Faced Per Game", ('black', 'gold'), (12, 8), 0, "spg.png", False, [0, 0])
winners = (('2009', 'Fleury', 'PIT'), ('2010', 'Niemi', 'CHI'), ('2011', 'Thomas', 'BOS'), ('2012', 'Quick', 'LAK'), ('2013', 'Crawford', 'CHI'), ('2014', 'Lundqvist', 'NYR'), ('2014', 'Quick', 'LAK'))
winnerShots = pd.Series(np.array([playoffsdf.iloc[i]['SPG'] for i in range(len(playoffsdf)) if(str(playoffsdf.iloc[i]['Year']), playoffsdf.iloc[i]['Player'], playoffsdf.iloc[i]['Tm']) in winners]), index=np.array(('Fleury 2009', 'Niemi 2010', 'Thomas 2011', 'Quick 2012', 'Crawford 2013', 'Lundqvist 2014', 'Quick 2014')))
plotFigure(winnerShots, "bar", "Stanley Cup Winning Goalies Shots Faced Per Game, 2009-2014", "Goaltenders", "Shots Faced Per Game", ('gold'), (12, 8), 0, "winnersSPG.png", False, [0,0])
idx = createIndex(playoffsdf)
goalieStatsdf = playoffsdf[['SV%', 'GAA']]
clusterList = clusterGoalies(goalieStatsdf, idx, 10)
for num, cluster in enumerate(clusterList):
print "Cluster%s: %s" % (num+1, ", ".join(cluster))
def main():
finalsdf = pd.read_csv("finalsData.csv", sep=',')
statsdf = createPlotdf(finalsdf, ['Goals', 'Corsi', 'Fenwick', 'Shots', 'Penalties'], True)
plotFigure(statsdf, "bar", "Key Stats for 2014 Stanley Cup Finals", "Statistics", "Percentage", ('purple', 'blue'), (12, 8), 0, "finals_stats.png", True, [0, 70])
savesdf = createPlotdf(finalsdf, ['SV%',], False)
plotFigure(savesdf, "bar", "Save Percentage for 2014 Stanley Cup Finals", "Teams", "Percentage", ('purple', 'blue'), (8, 8), 0, "save_percent.png", True, [90, 95])