added unfiltered envelope in main plot
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.vscode/settings.json
vendored
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3
.vscode/settings.json
vendored
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@ -0,0 +1,3 @@
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{
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"python.formatting.provider": "autopep8"
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}
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@ -11,6 +11,9 @@ from thunderfish.powerspectrum import spectrogram, decibel
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from modules.filters import bandpass_filter, envelope, highpass_filter
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from modules.filehandling import ConfLoader, LoadData
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from modules.plotstyle import PlotStyle
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ps = PlotStyle()
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def instantaneos_frequency(
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@ -275,19 +278,19 @@ def main(datapath: str) -> None:
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)
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# compute envelopes
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baseline_envelope = envelope(
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baseline_envelope_unfiltered = envelope(
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baseline, data.raw_rate, config.envelope_cutoff)
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search_envelope = envelope(
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search, data.raw_rate, config.envelope_cutoff)
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# highpass filter envelopes
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baseline_envelope = highpass_filter(
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baseline_envelope,
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baseline_envelope_unfiltered,
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data.raw_rate,
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config.envelope_highpass_cutoff
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)
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baseline_envelope = np.abs(baseline_envelope)
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# baseline_envelope = np.abs(baseline_envelope)
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# search_envelope = highpass_filter(
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# search_envelope,
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# data.raw_rate,
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@ -323,6 +326,7 @@ def main(datapath: str) -> None:
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int(window_edge), len(baseline_envelope) -
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int(window_edge)
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)
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baseline_envelope_unfiltered = baseline_envelope_unfiltered[valid]
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baseline_envelope = baseline_envelope[valid]
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search_envelope = search_envelope[valid]
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@ -374,23 +378,22 @@ def main(datapath: str) -> None:
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# plot baseline instantaneos frequency
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axs[1, i].plot(baseline_freq_time, baseline_freq -
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np.median(baseline_freq), marker=".")
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np.median(baseline_freq))
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# plot waveform of filtered signal
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axs[2, i].plot(time_oi, baseline, c="k")
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axs[2, i].plot(time_oi, baseline, c=ps.green)
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# plot narrow filtered baseline
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# plot broad filtered baseline
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axs[2, i].plot(
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time_oi,
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baseline_envelope,
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c="orange",
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broad_baseline,
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)
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# plot broad filtered baseline
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# plot narrow filtered baseline envelope
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axs[2, i].plot(
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time_oi,
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broad_baseline,
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c="green",
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baseline_envelope_unfiltered,
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c=ps.red
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)
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# plot waveform of filtered search signal
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@ -400,7 +403,7 @@ def main(datapath: str) -> None:
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axs[3, i].plot(
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time_oi,
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search_envelope,
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c="orange",
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c=ps.red
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)
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# plot filtered and rectified envelope
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@ -408,7 +411,7 @@ def main(datapath: str) -> None:
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axs[4, i].scatter(
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(time_oi)[baseline_peaks],
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baseline_envelope[baseline_peaks],
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c="red",
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c=ps.red,
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)
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# plot envelope of search signal
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@ -416,7 +419,7 @@ def main(datapath: str) -> None:
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axs[5, i].scatter(
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(time_oi)[search_peaks],
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search_envelope[search_peaks],
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c="red",
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c=ps.red,
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)
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# plot filtered instantaneous frequency
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@ -424,7 +427,7 @@ def main(datapath: str) -> None:
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axs[6, i].scatter(
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baseline_freq_time[inst_freq_peaks],
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np.abs(inst_freq_filtered)[inst_freq_peaks],
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c="red",
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c=ps.red,
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)
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axs[6, i].set_xlabel("Time [s]")
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@ -13,7 +13,7 @@ search_boundary: 100
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envelope_cutoff: 25
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# Cutoff frequency for envelope highpass filter
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envelope_highpass_cutoff: 5
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envelope_highpass_cutoff: 4
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# Cutoff frequency for envelope of envelope
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envelope_envelope_cutoff: 5
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@ -18,17 +18,17 @@ def PlotStyle() -> None:
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black = "#111116"
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white = "#e0e4f7"
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gray = "#6c6e7d"
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pink = "#f5c2e7"
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purple = "#cba6f7"
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red = "#f38ba8"
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maroon = "#eba0ac"
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orange = "#fab387"
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yellow = "#f9e2af"
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green = "#a6e3a1"
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teal = "#94e2d5"
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sky = "#89dceb"
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sapphire = "#74c7ec"
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blue = "#89b4fa"
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sapphire = "#74c7ec"
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sky = "#89dceb"
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teal = "#94e2d5"
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green = "#a6e3a1"
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yellow = "#f9e2af"
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orange = "#fab387"
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maroon = "#eba0ac"
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red = "#f38ba8"
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purple = "#cba6f7"
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pink = "#f5c2e7"
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lavender = "#b4befe"
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@classmethod
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@ -218,7 +218,7 @@ def PlotStyle() -> None:
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plt.rcParams["image.cmap"] = 'cmo.haline'
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# plt.rcParams["axes.xmargin"] = 0.1
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# plt.rcParams["axes.ymargin"] = 0.15
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plt.rcParams["axes.titlelocation"] = "center"
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plt.rcParams["axes.titlelocation"] = "left"
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plt.rcParams["axes.titlesize"] = BIGGER_SIZE
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# plt.rcParams["axes.titlepad"] = -10
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plt.rcParams["legend.frameon"] = False
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@ -244,8 +244,8 @@ def PlotStyle() -> None:
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plt.rcParams["text.color"] = white
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plt.rcParams["axes.facecolor"] = black # axes background color
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plt.rcParams["axes.edgecolor"] = gray # axes edge color
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plt.rcParams["axes.grid"] = True # display grid or not
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plt.rcParams["axes.grid.axis"] = "y" # which axis the grid is applied to
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# plt.rcParams["axes.grid"] = True # display grid or not
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# plt.rcParams["axes.grid.axis"] = "y" # which axis the grid is applied to
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plt.rcParams["axes.labelcolor"] = white
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plt.rcParams["axes.axisbelow"] = True # draw axis gridlines and ticks:
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plt.rcParams["axes.spines.left"] = True # display axis spines
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@ -254,18 +254,18 @@ def PlotStyle() -> None:
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plt.rcParams["axes.spines.right"] = False
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plt.rcParams["axes.prop_cycle"] = cycler(
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'color', [
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'#f5c2e7',
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'#cba6f7',
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'#f38ba8',
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'#eba0ac',
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'#fab387',
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'#f9e2af',
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'#a6e3a1',
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'#94e2d5',
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'#89dceb',
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'#74c7ec',
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'#89b4fa',
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'#b4befe',
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'#89b4fa',
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'#74c7ec',
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'#89dceb',
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'#94e2d5',
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'#a6e3a1',
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'#f9e2af',
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'#fab387',
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'#eba0ac',
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'#f38ba8',
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'#cba6f7',
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'#f5c2e7',
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])
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plt.rcParams["xtick.color"] = gray # color of the ticks
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plt.rcParams["ytick.color"] = gray # color of the ticks
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