EGG Signal Overview

EGG Signal Overview#

Create a 4-panel overview figure showing the raw signal, bandpass-filtered signal, instantaneous phase, and amplitude envelope using plot_egg_overview.

import matplotlib.pyplot as plt

import gastropy as gp

plt.rcParams["figure.dpi"] = 100
plt.rcParams["figure.facecolor"] = "white"

# Load data and select best channel
egg = gp.load_egg()
best_idx, _, _, _ = gp.select_best_channel(egg["signal"], egg["sfreq"])
best_signal = egg["signal"][best_idx]

# Process through the full pipeline
signals_df, info = gp.egg_process(best_signal, egg["sfreq"])
print(f"Channel: {list(egg['ch_names'])[best_idx]}")
print(f"Peak: {info['peak_freq_hz'] * 60:.1f} cpm")

Channel: EGG6
Peak: 3.2 cpm

Basic Overview#

plot_egg_overview expects the DataFrame returned by egg_process (columns: raw, filtered, phase, amplitude).

fig, axes = gp.plot_egg_overview(signals_df, egg["sfreq"])
plt.show()
../_images/15ab3479e700d3c0b79fe8704967171e5942c104984ac69eb488e62040d54005.png

With a Title#

fig, axes = gp.plot_egg_overview(
    signals_df,
    egg["sfreq"],
    title=f"Wolpert Sample — {list(egg['ch_names'])[best_idx]}",
)
plt.show()
../_images/a55c7e48296048b6b4c64ef683d5649573836ab3d75fe09c93430ece45bb090b.png

See also: Comprehensive Figure, egg_process

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