def plot_power(self, high=None, **options):
"""Plots power vs frequency.
high: frequency to cut off at
"""
if self.full:
fs, amps = self.render_full(high)
thinkplot.plot(fs, amps**2, **options)
else:
i = None if high is None else find_index(high, self.fs)
thinkplot.plot(self.fs[:i], self.power[:i], **options)
def plot_power(self, low=0, high=None, expo=False, **options):
"""Plots the integrated spectrum.
low: int index to start at
high: int index to end at
"""
cs = self.cs[low:high]
fs = self.fs[low:high]
if expo:
cs = np.exp(cs)
thinkplot.plot(fs, cs, **options)
def plot(self, high=None, **options):
"""Plots amplitude vs frequency.
Note: if this is a full spectrum, it ignores low and high
high: frequency to cut off at
"""
if self.full:
fs, amps = self.render_full(high)
thinkplot.plot(fs, amps, **options)
else:
i = None if high is None else find_index(high, self.fs)
thinkplot.plot(self.fs[:i], self.amps[:i], **options)
def plot(self, **options):
"""Plots the wave.
"""
xfactor = self.get_xfactor(options)
thinkplot.plot(self.ts * xfactor, self.ys, **options)