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add function to get phase sifts

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François Boulogne 2026-01-06 13:24:43 +01:00
parent 521912edf5
commit 489c255abd
2 changed files with 20 additions and 5 deletions
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2
mysignal/__init__.py
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@ -1 +1 @@
__version__ = '0.1.25' __version__ = '0.1.26'

23
mysignal/phasefreq.py
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@ -254,6 +254,7 @@ def analyze_signal_Hilbert(time, e_signal, s_signal, freq_rtol=0.01):
return res return res
def analyze_signal_sinfit(time, e_signal, s_signal, freq_rtol=0.01): def analyze_signal_sinfit(time, e_signal, s_signal, freq_rtol=0.01):
""" """
Analyzes the dominant frequencies, phase shift, time shift, and periods between two signals e_signal(t) and s_signal(t) from a DataFrame. Analyzes the dominant frequencies, phase shift, time shift, and periods between two signals e_signal(t) and s_signal(t) from a DataFrame.
@ -360,7 +361,6 @@ def analyze_signal_sinfit(time, e_signal, s_signal, freq_rtol=0.01):
return res return res
def analyze_signal_cross_correlation(time, e_signal, s_signal, freq_rtol=0.01): def analyze_signal_cross_correlation(time, e_signal, s_signal, freq_rtol=0.01):
""" """
Analyzes signals using cross-correlation method for phase shift calculation (single mode only). Analyzes signals using cross-correlation method for phase shift calculation (single mode only).
@ -468,7 +468,6 @@ def analyze_signal_cross_correlation(time, e_signal, s_signal, freq_rtol=0.01):
return res return res
def analyze_signal_wavelet(time, e_signal, s_signal, freq_rtol=0.01): def analyze_signal_wavelet(time, e_signal, s_signal, freq_rtol=0.01):
""" """
Analyzes signals using wavelet transform for phase shift calculation (single mode only). Analyzes signals using wavelet transform for phase shift calculation (single mode only).
@ -579,13 +578,29 @@ def analyze_signal_wavelet(time, e_signal, s_signal, freq_rtol=0.01):
return res return res
def plot_phases(e_time, e_filtered, e_frequencies, s_filtered, n_modes, callback=analyze_signal_wavelet, output=None): def get_phases(e_time, e_filtered, e_frequencies, s_filtered, n_modes, callback=analyze_signal_wavelet):
"""
"""
res = []
for mod in range(n_modes):
output = callback(e_time, e_filtered[mod], s_filtered[mod], freq_rtol=0.3)
res.append({
'mode': mod,
'freq': output['freq_e'],
'phase': output['phase'],
'delay': output['delay']
})
return pd.DataFrame(res)
def plot_phases(e_time, e_filtered, e_frequencies, s_filtered, n_modes, callback=analyze_signal_wavelet, output=None):
"""
"""
fig, ax = plt.subplots(nrows=n_modes, ncols=2, figsize=(12, 2 * n_modes), gridspec_kw={'width_ratios': [3, 1]}) fig, ax = plt.subplots(nrows=n_modes, ncols=2, figsize=(12, 2 * n_modes), gridspec_kw={'width_ratios': [3, 1]})
for mod in range(n_modes): for mod in range(n_modes):
res = callback(e_time, e_filtered[mod], s_filtered[mod], freq_rtol=0.3) res = callback(e_time, e_filtered[mod], s_filtered[mod], freq_rtol=0.3)
ax[mod, 0].set_title(f'Freq: {res['freq_e']:.3f}, Phase: {res['phase']:.3f}, Delay: {res['delay']:.3f}' ) ax[mod, 0].set_title(f'Freq: {res['freq_e']:.3f}, Phase: {res['phase']:.3f}, Delay: {res['delay']:.3f}' )