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95 lines
2.8 KiB
Python
95 lines
2.8 KiB
Python
"""
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Functions to simplify plotting
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"""
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import matplotlib.pyplot as plt
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import matplotlib.gridspec as gridspec
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import numpy as np
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def plot_spectrum( spectrum, freqs, plot_complex=False, plot_power=False, plot_amplitude=None, ax=None, freq_unit="Hz", freq_scaler=1):
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""" Plot a signal's spectrum on an Axis object"""
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plot_amplitude = plot_amplitude or (not plot_power and not plot_complex)
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alpha = 1
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if ax is None:
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ax = plt.gca()
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ax.set_title("Spectrum")
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ax.set_xlabel("f" + (" ["+freq_unit+"]" if freq_unit else "" ))
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ylabel = ""
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if plot_amplitude or plot_complex:
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ylabel = "Amplitude"
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if plot_power:
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if ylabel:
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ylabel += "|"
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ylabel += "Power"
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ax.set_ylabel(ylabel)
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if plot_complex:
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alpha = 0.5
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ax.plot(freqs/freq_scaler, np.real(spectrum), '.-', label='Real', alpha=alpha)
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ax.plot(freqs/freq_scaler, np.imag(spectrum), '.-', label='Imag', alpha=alpha)
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if plot_power:
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ax.plot(freqs/freq_scaler, np.abs(spectrum)**2, '.-', label='Power', alpha=alpha)
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if plot_amplitude:
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ax.plot(freqs/freq_scaler, np.abs(spectrum), '.-', label='Abs', alpha=alpha)
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ax.legend()
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return ax
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def plot_phase( spectrum, freqs, ylim_epsilon=0.5, ax=None, freq_unit="Hz", freq_scaler=1):
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if ax is None:
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ax = plt.gca()
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ax.set_ylabel("Phase")
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ax.set_xlabel("f" + (" ["+freq_unit+"]" if freq_unit else "" ))
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ax.plot(freqs/freq_scaler, np.angle(spectrum), '.-')
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ax.set_ylim(-1*np.pi - ylim_epsilon, np.pi + ylim_epsilon)
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return ax
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def plot_signal( signal, sample_rate = 1, ax=None, time=None, time_unit="s", **kwargs):
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if ax is None:
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ax = plt.gca()
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if time is None:
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time = np.arange(len(signal))/sample_rate
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ax.set_title("Signal")
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ax.set_xlabel("t" + (" ["+time_unit+"]" if time_unit else "" ))
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ax.set_ylabel("A(t)")
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ax.plot(time, signal, **kwargs)
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return ax
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def plot_combined_spectrum(spectrum, freqs,
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spectrum_kwargs={}, fig=None, gs=None, freq_scaler=1, freq_unit="Hz"):
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"""Plot both the frequencies and phase in one figure."""
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# configure plotting layout
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if fig is None:
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fig = plt.figure(figsize=(8, 16))
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if gs is None:
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gs = gridspec.GridSpec(2, 1, figure=fig, height_ratios=[3,1], hspace=0)
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ax1 = fig.add_subplot(gs[:-1, -1])
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ax2 = fig.add_subplot(gs[-1, -1], sharex=ax1)
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axes = np.array([ax1, ax2])
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# plot the spectrum
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plot_spectrum(spectrum, freqs, ax=ax1, freq_scaler=freq_scaler, freq_unit=freq_unit, **spectrum_kwargs)
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# plot the phase
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plot_phase(spectrum, freqs, ax=ax2, freq_scaler=freq_scaler, freq_unit=freq_unit)
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ax1.xaxis.tick_top()
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[label.set_visible(False) for label in ax1.get_xticklabels()]
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return fig, axes
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