def plotStatistics(self, output_file):
p = stats.statRemoveNum(np.array(self.param), self.missingValue)
a = p - np.mean(p)
pmin = p.min()
pmax = p.max()
amin = a.min()
amax = a.max()
abins = np.linspace(amin, amax, 50)
bins = np.linspace(pmin, pmax, 50)
hist = np.empty((len(bins) - 1, self.maxCell))
ahist = np.empty((len(abins) - 1, self.maxCell))
x = np.arange(11)
alpha = np.empty((11, self.maxCell))
aalpha = np.empty((11, self.maxCell))
for i in xrange(self.maxCell + 1):
p = self.extractParameter(i, 0)
a = p - np.mean(p)
hist[:, i - 1], b = np.histogram(p, bins, normed=True)
ahist[:, i - 1], b = np.histogram(a, abins, normed=True)
alpha[:, i - 1] = acf(p, 10)
aalpha[:, i - 1] = acf(a, 10)
mhist = np.mean(hist, axis=1)
uhist = percentile(hist, per=95, axis=1)
lhist = percentile(hist, per=5, axis=1)
mahist = np.mean(ahist, axis=1)
uahist = percentile(ahist, per=95, axis=1)
lahist = percentile(ahist, per=5, axis=1)
malpha = np.mean(alpha, axis=1)
ualpha = percentile(alpha, per=95, axis=1)
lalpha = percentile(alpha, per=5, axis=1)
maalpha = np.mean(aalpha, axis=1)
uaalpha = percentile(aalpha, per=95, axis=1)
laalpha = percentile(aalpha, per=5, axis=1)
fig = RangeCurve()
fig.add(bins[:-1], mhist, uhist, lhist, "Values", "Probability", "")
fig.add(abins[:-1], mahist, uahist, lahist, "Anomalies", "Probability",
"")
fig.add(x, malpha, ualpha, lalpha, "Lag", "Autocorrelation",
"ACF of values")
fig.add(x, maalpha, uaalpha, laalpha, "Lag", "Autocorrelation",
"ACF of anomalies")
fig.plot()
saveFigure(fig, output_file + '.png')
def plotStatistics(self, output_file):
p = stats.statRemoveNum(np.array(self.param), self.missingValue)
a = p - np.mean(p)
pmin = p.min()
pmax = p.max()
amin = a.min()
amax = a.max()
abins = np.linspace(amin, amax, 50)
bins = np.linspace(pmin, pmax, 50)
hist = np.empty((len(bins) - 1, self.maxCell))
ahist = np.empty((len(abins) - 1, self.maxCell))
x = np.arange(11)
alpha = np.empty((11, self.maxCell))
aalpha = np.empty((11, self.maxCell))
for i in xrange(self.maxCell + 1):
p = self.extractParameter(i, 0)
a = p - np.mean(p)
hist[:, i - 1], b = np.histogram(p, bins, normed=True)
ahist[:, i - 1], b = np.histogram(a, abins, normed=True)
alpha[:, i - 1] = acf(p, 10)
aalpha[:, i - 1] = acf(a, 10)
mhist = np.mean(hist, axis=1)
uhist = percentile(hist, per=95, axis=1)
lhist = percentile(hist, per=5, axis=1)
mahist = np.mean(ahist, axis=1)
uahist = percentile(ahist, per=95, axis=1)
lahist = percentile(ahist, per=5, axis=1)
malpha = np.mean(alpha, axis=1)
ualpha = percentile(alpha, per=95, axis=1)
lalpha = percentile(alpha, per=5, axis=1)
maalpha = np.mean(aalpha, axis=1)
uaalpha = percentile(aalpha, per=95, axis=1)
laalpha = percentile(aalpha, per=5, axis=1)
fig = RangeCurve()
fig.add(bins[:-1], mhist, uhist, lhist, "Values", "Probability", "")
fig.add(abins[:-1], mahist, uahist, lahist, "Anomalies", "Probability", "")
fig.add(x, malpha, ualpha, lalpha, "Lag", "Autocorrelation", "ACF of values")
fig.add(x, maalpha, uaalpha, laalpha, "Lag", "Autocorrelation", "ACF of anomalies")
fig.plot()
saveFigure(fig, output_file + '.png')
def plot(self):
figure = RangeCompareCurve()
figure.set_size_inches(8,3)
xlab = "Gate number"
ylab = "Landfall probability"
x = np.arange(len(self.gates) - 1)
figure.add(x, self.historicLandfall, self.synMeanLandfall,
self.synUpperLF, self.synLowerLF,
xlab, ylab, "Landfall")
ylab = "Offshore probability"
figure.add(x, self.historicOffshore, self.synMeanOffshore,
self.synUpperOF, self.synLowerOF,
xlab, ylab, "Offshore")
figure.plot()
outputFile = pjoin(self.plotPath, 'landfall_rates.png')
saveFigure(figure, outputFile)
def plot(self):
"""
Plot the results and save to file.
"""
figure = RangeCompareCurve()
figure.set_size_inches(8, 3)
xlab = "Gate number"
ylab = "Landfall probability"
x = np.arange(len(self.gates) - 1)
figure.add(x, self.historicLandfall, self.synMeanLandfall,
self.synUpperLF, self.synLowerLF, xlab, ylab, "Landfall")
ylab = "Offshore probability"
figure.add(x, self.historicOffshore, self.synMeanOffshore,
self.synUpperOF, self.synLowerOF, xlab, ylab, "Offshore")
figure.plot()
outputFile = pjoin(self.plotPath, 'landfall_rates.png')
saveFigure(figure, outputFile)
