def plotWave(self): """ Plot wiggled or filled waveform, which is normalized (if not stacking) and shifted to ybase. Fill both plus and negative side of signal but with different transparency. If opts.fill == 0: no fill. If opts.fill > 0: alpha of negative side is a quarter of plus side. If opts.fill < 0: alpha of plus side is a quarter of negative side. """ opts = self.opts ybase = self.ybase x = self.time - self.sacdh.reftime d = self.sacdh.data axpp = self.axpp if self.opts.ynorm > 0: # normalize data within time window if self.opts.ynormtwin_on: try: indmin, indmax = searchsorted(self.time, self.twindow) indmax = min(len(x)-1, indmax) thisd = d[indmin:indmax+1] dnorm = dataNorm(thisd) except: dnorm = dataNorm(d) else: dnorm = dataNorm(d) dnorm = 1/dnorm*self.opts.ynorm*.5 else: dnorm = 1 y = d * dnorm # plot self.ynorm = [dnorm,] line, = axpp.plot(x, y+ybase, ls='-', color=self.color, lw=self.linew, alpha=self.alpha, picker=5) self.lines = [line,] if opts.fill == 0: axpp.axhline(y=ybase, color='k', ls=':') self.wvfills = [] else: f = opts.fill fplus, fnega, = [], [] for i in range(len(x)): if f*y[i] > 0: fplus.append(True) fnega.append(False) else: fplus.append(False) fnega.append(True) wvfillplus = axpp.fill_between(x, ybase, y+ybase, where=fplus, color=self.color, alpha=self.alpha*0.6) wvfillnega = axpp.fill_between(x, ybase, y+ybase, where=fnega, color=self.color, alpha=self.alpha*0.2) self.wvfills = [wvfillplus, wvfillnega] self.labelStation()
def plotWave(self):
"""
Plot wiggled or filled waveform, which is normalized (if not stacking) and shifted to ybase.
Fill both plus and negative side of signal but with different transparency.
If opts.fill == 0: no fill.
If opts.fill > 0: alpha of negative side is a quarter of plus side.
If opts.fill < 0: alpha of plus side is a quarter of negative side.
"""
# get x, y
opts = self.opts
ybase = self.ybase
x = self.time - self.sacdh.reftime
d = self.sacdh.data
axss = self.axss
if self.opts.ynorm > 0:
dnorm = dataNorm(d)
dnorm = 1 / dnorm * self.opts.ynorm * .5
else:
dnorm = 1
y = d * dnorm
# plot
line, = axss.plot(x,
y + ybase,
ls='-',
color=self.color,
lw=self.linew,
alpha=self.alpha,
picker=5)
self.lines = [
line,
]
if opts.fill == 0:
axss.axhline(y=ybase, color='k', ls=':')
self.wvfills = []
else:
f = opts.fill
fplus, fnega, = [], []
for i in range(len(x)):
if f * y[i] > 0:
fplus.append(True)
fnega.append(False)
else:
fplus.append(False)
fnega.append(True)
wvfillplus = axss.fill_between(x,
ybase,
y + ybase,
where=fplus,
color=self.color,
alpha=self.alpha * 0.6)
wvfillnega = axss.fill_between(x,
ybase,
y + ybase,
where=fnega,
color=self.color,
alpha=self.alpha * 0.2)
self.wvfills = [wvfillplus, wvfillnega]
def updateY(self, xxlim):
""" Update ynorm for wave wiggle from given xlim.
"""
x = self.time - self.sacdh.reftime
d = self.sacdh.data
indmin, indmax = searchsorted(x, xxlim)
indmax = min(len(x) - 1, indmax)
thisd = d[indmin:indmax + 1]
if len(thisd) > 0 and self.opts.ynorm > 0:
dnorm = dataNorm(thisd)
dnorm = 1 / dnorm * self.opts.ynorm * .5
else:
dnorm = self.ynorm[-1]
self.ynorm.append(dnorm)
setp(self.lines[0], ydata=self.ybase + d * dnorm)
def updateY(self, xxlim): """ Update ynorm for wave wiggle from given xlim. """ x = self.time - self.sacdh.reftime d = self.sacdh.data indmin, indmax = searchsorted(x, xxlim) indmax = min(len(x)-1, indmax) thisd = d[indmin:indmax+1] if len(thisd) > 0 and self.opts.ynorm > 0: dnorm = dataNorm(thisd) dnorm = 1/dnorm*self.opts.ynorm*.5 else: dnorm = self.ynorm[-1] self.ynorm.append(dnorm) setp(self.lines[0], ydata=self.ybase+d*dnorm)
def plotWave(self): """ Plot wiggled or filled waveform, which is normalized (if not stacking) and shifted to ybase. Fill both plus and negative side of signal but with different transparency. If opts.fill == 0: no fill. If opts.fill > 0: alpha of negative side is a quarter of plus side. If opts.fill < 0: alpha of plus side is a quarter of negative side. """ # get x, y opts = self.opts ybase = self.ybase x = self.time - self.sacdh.reftime d = self.sacdh.data axss = self.axss if self.opts.ynorm > 0: dnorm = dataNorm(d) dnorm = 1/dnorm*self.opts.ynorm*.5 else: dnorm = 1 y = d * dnorm # plot line, = axss.plot(x, y+ybase, ls='-', color=self.color, lw=self.linew, alpha=self.alpha, picker=5) self.lines = [line,] if opts.fill == 0: axss.axhline(y=ybase, color='k', ls=':') self.wvfills = [] else: f = opts.fill fplus, fnega, = [], [] for i in range(len(x)): if f*y[i] > 0: fplus.append(True) fnega.append(False) else: fplus.append(False) fnega.append(True) wvfillplus = axss.fill_between(x, ybase, y+ybase, where=fplus, color=self.color, alpha=self.alpha*0.6) wvfillnega = axss.fill_between(x, ybase, y+ybase, where=fnega, color=self.color, alpha=self.alpha*0.2) self.wvfills = [wvfillplus, wvfillnega]
def plotWave(self):
"""
Plot wiggled or filled waveform, which is normalized (if not stacking) and shifted to ybase.
Fill both plus and negative side of signal but with different transparency.
If opts.fill == 0: no fill.
If opts.fill > 0: alpha of negative side is a quarter of plus side.
If opts.fill < 0: alpha of plus side is a quarter of negative side.
"""
opts = self.opts
ybase = self.ybase
x = self.time - self.sacdh.reftime
d = self.sacdh.data
# filter time signal d
if hasattr(opts,
'filterParameters') and opts.filterParameters['apply']:
NYQ = 1.0 / (2 * opts.delta)
# make filter, default is bandpass
Wn = [
opts.filterParameters['lowFreq'] / NYQ,
opts.filterParameters['highFreq'] / NYQ
]
B, A = signal.butter(opts.filterParameters['order'],
Wn,
analog=False,
btype='bandpass')
if opts.filterParameters['band'] == 'lowpass':
Wn = opts.filterParameters['lowFreq'] / NYQ
B, A = signal.butter(opts.filterParameters['order'],
Wn,
analog=False,
btype='lowpass')
elif opts.filterParameters['band'] == 'highpass':
Wn = opts.filterParameters['highFreq'] / NYQ
B, A = signal.butter(opts.filterParameters['order'],
Wn,
analog=False,
btype='highpass')
d = signal.lfilter(B, A, d)
axpp = self.axpp
if self.opts.ynorm > 0:
# normalize data within time window
if self.opts.ynormtwin_on:
try:
indmin, indmax = searchsorted(self.time, self.twindow)
indmax = min(len(x) - 1, indmax)
thisd = d[indmin:indmax + 1]
dnorm = dataNorm(thisd)
except:
dnorm = dataNorm(d)
else:
dnorm = dataNorm(d)
dnorm = 1 / dnorm * self.opts.ynorm * .5
else:
dnorm = 1
y = d * dnorm
# plot
self.ynorm = [
dnorm,
]
line, = axpp.plot(x,
y + ybase,
ls='-',
color=self.color,
lw=self.linew,
alpha=self.alpha,
picker=5)
self.lines = [
line,
]
if opts.fill == 0:
axpp.axhline(y=ybase, color='k', ls=':')
self.wvfills = []
else:
f = opts.fill
fplus, fnega, = [], []
for i in range(len(x)):
if f * y[i] > 0:
fplus.append(True)
fnega.append(False)
else:
fplus.append(False)
fnega.append(True)
wvfillplus = axpp.fill_between(x,
ybase,
y + ybase,
where=fplus,
color=self.color,
alpha=self.alpha * 0.6)
wvfillnega = axpp.fill_between(x,
ybase,
y + ybase,
where=fnega,
color=self.color,
alpha=self.alpha * 0.2)
self.wvfills = [wvfillplus, wvfillnega]
self.labelStation()
def plotWave(self): """ Plot wiggled or filled waveform, which is normalized (if not stacking) and shifted to ybase. Fill both plus and negative side of signal but with different transparency. If opts.fill == 0: no fill. If opts.fill > 0: alpha of negative side is a quarter of plus side. If opts.fill < 0: alpha of plus side is a quarter of negative side. """ opts = self.opts ybase = self.ybase x = self.time - self.sacdh.reftime d = self.sacdh.data # filter time signal d if hasattr(opts, 'filterParameters') and opts.filterParameters['apply']: NYQ = 1.0/(2*opts.delta) # make filter, default is bandpass Wn = [opts.filterParameters['lowFreq']/NYQ, opts.filterParameters['highFreq']/NYQ] B, A = signal.butter(opts.filterParameters['order'], Wn, analog=False, btype='bandpass') if opts.filterParameters['band']=='lowpass': Wn = opts.filterParameters['lowFreq']/NYQ B, A = signal.butter(opts.filterParameters['order'], Wn, analog=False, btype='lowpass') elif opts.filterParameters['band']=='highpass': Wn = opts.filterParameters['highFreq']/NYQ B, A = signal.butter(opts.filterParameters['order'], Wn, analog=False, btype='highpass') d = signal.lfilter(B, A, d) axpp = self.axpp if self.opts.ynorm > 0: # normalize data within time window if self.opts.ynormtwin_on: try: indmin, indmax = np.searchsorted(self.time, self.twindow) indmax = min(len(x)-1, indmax) thisd = d[indmin:indmax+1] dnorm = dataNorm(thisd) except: dnorm = dataNorm(d) else: dnorm = dataNorm(d) dnorm = 1/dnorm*self.opts.ynorm*.5 else: dnorm = 1 y = d * dnorm # plot self.ynorm = [dnorm,] line, = axpp.plot(x, y+ybase, ls='-', color=self.color, lw=self.linew, alpha=self.alpha, picker=5) self.lines = [line,] if opts.fill == 0: axpp.axhline(y=ybase, color='k', ls=':') self.wvfills = [] else: f = opts.fill fplus, fnega, = [], [] for i in list(range(len(x))): if f*y[i] > 0: fplus.append(True) fnega.append(False) else: fplus.append(False) fnega.append(True) wvfillplus = axpp.fill_between(x, ybase, y+ybase, where=fplus, color=self.color, alpha=self.alpha*0.6) wvfillnega = axpp.fill_between(x, ybase, y+ybase, where=fnega, color=self.color, alpha=self.alpha*0.2) self.wvfills = [wvfillplus, wvfillnega] self.labelStation()
