def plot(self,high=None,**options):
#make a pseudocolor plot
fs=self.frequencies()
i=None if high is None else find_index(high,fs)
fs=fs[:i]
ts=self.times()
size=len(fs),len(ts)
array=np.zeros(size,dtype=np.float)
for j,t in enumerate(ts):
spectrum=self.spec_map[t]
array[:,j]=spectrum.amps[:i]
thinkplot.pcolor(ts,fs,array,**options)
def plot(self, high=None, **options):
"""Make a pseudocolor plot.
high: highest frequency component to plot
"""
fs = self.frequencies()
i = None if high is None else find_index(high, fs)
fs = fs[:i]
ts = self.times()
# make the array
size = len(fs), len(ts)
array = np.zeros(size, dtype=np.float)
# copy amplitude from each spectrum into a column of the array
for j, t in enumerate(ts):
spectrum = self.spec_map[t]
array[:, j] = spectrum.amps[:i]
thinkplot.pcolor(ts, fs, array, **options)
def plot(self, low=0, high=None, **options):
"""Make a pseudocolor plot.
low: index of the lowest frequency component to plot
high: index of the highest frequency component to plot
"""
ts = self.times()
fs = self.frequencies()[low:high]
# make the array
size = len(fs), len(ts)
array = numpy.zeros(size, dtype=numpy.float)
# copy amplitude from each spectrum into a column of the array
for i, t in enumerate(ts):
spectrum = self.spec_map[t]
array[:, i] = spectrum.amps[low:high]
thinkplot.pcolor(ts, fs, array, **options)
def plot(self, low=0, high=None, **options):
"""Make a pseudocolor plot.
low: index of the lowest frequency component to plot
high: index of the highest frequency component to plot
"""
ts = self.times()
fs = self.frequencies()[low:high]
# make the array
size = len(fs), len(ts)
array = numpy.zeros(size, dtype=numpy.float)
# copy amplitude from each spectrum into a column of the array
for i, t in enumerate(ts):
spectrum = self.spec_map[t]
array[:,i] = spectrum.amps[low:high]
thinkplot.pcolor(ts, fs, array, **options)
def plot(self, high=None, **options):
"""Make a pseudocolor plot.
high: highest frequency component to plot
"""
fs = self.frequencies()
i = None if high is None else find_index(high, fs)
fs = fs[:i]
ts = self.times()
# make the array
size = len(fs), len(ts)
array = np.zeros(size, dtype=np.float)
# copy amplitude from each spectrum into a column of the array
for j, t in enumerate(ts):
spectrum = self.spec_map[t]
array[:, j] = spectrum.amps[:i]
thinkplot.pcolor(ts, fs, array, **options)
