Bin amplitude according to the phase

This example illustrate how to bin the amplitude according to the phase.

from tensorpac.signals import pac_signals_tort
from tensorpac.utils import BinAmplitude

import matplotlib.pyplot as plt

# Dataset of signals artificially coupled between 10hz and 100hz :
n_epochs = 20
n_times = 4000
sf = 512.  # sampling frequency

# Create artificially coupled signals using Tort method :
data, time = pac_signals_tort(f_pha=10, f_amp=100, noise=2, n_epochs=n_epochs,
                              dpha=10, damp=10, sf=sf, n_times=n_times)

plt.figure(figsize=(14, 5))

plt.subplot(121)
b_obj = BinAmplitude(data, sf, f_pha=[9, 11], f_amp=[90, 110], n_jobs=1,
                     n_bins=18)
ax = b_obj.plot(color='red', alpha=.5, unit='deg')
plt.ylim(0, 180)
plt.title("Binned amplitude (phase=[9, 11])")

plt.subplot(122)
b_obj = BinAmplitude(data, sf, f_pha=[2, 4], f_amp=[90, 110], n_jobs=1,
                     n_bins=18)
ax = b_obj.plot(color='blue', alpha=.5, unit='deg')
plt.ylim(0, 180)
plt.title("Binned amplitude (phase=[2, 4])")

b_obj.show()