inroplot in intro
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@@ -17,9 +17,9 @@ def main():
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data = LoadData(datapath)
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# good chirp times for data: 2022-06-02-10_00
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window_start_seconds = 3 * 60 * 60 + 6 * 60 + 43.5 + 9 + 6.22
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window_start_seconds = 3 * 60 * 60 + 6 * 60 + 43.5 + 9 + 6.25
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window_start_index = window_start_seconds * data.raw_rate
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window_duration_seconds = 0.3
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window_duration_seconds = 0.2
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window_duration_index = window_duration_seconds * data.raw_rate
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timescaler = 1000
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@@ -28,7 +28,7 @@ def main():
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window_duration_index, 10]
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fig, (ax1, ax2, ax3) = plt.subplots(
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3, 1, figsize=(16 * ps.cm, 12*ps.cm), sharex=True, sharey=True)
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3, 1, figsize=(12 * ps.cm, 10*ps.cm), sharex=True, sharey=True)
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# plot instantaneous frequency
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filtered1 = bandpass_filter(
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@@ -103,12 +103,15 @@ def main():
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ax3.set_xlabel("time [ms]")
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ax2.set_ylabel("frequency [Hz]")
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ax1.set_yticks(np.arange(300, 1201, 300))
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ax1.spines.left.set_bounds((300, 1200))
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ax2.set_yticks(np.arange(300, 1201, 300))
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ax2.spines.left.set_bounds((300, 1200))
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ax3.set_yticks(np.arange(300, 1201, 300))
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ax3.spines.left.set_bounds((300, 1200))
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ax1.set_yticks(np.arange(400, 1201, 400))
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ax1.spines.left.set_bounds((400, 1200))
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ax2.set_yticks(np.arange(400, 1201, 400))
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ax2.spines.left.set_bounds((400, 1200))
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ax3.set_yticks(np.arange(400, 1201, 400))
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ax3.spines.left.set_bounds((400, 1200))
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plt.subplots_adjust(left=0.17, right=0.98, top=0.9,
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bottom=0.14, hspace=0.35)
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plt.savefig('../poster/figs/introplot.pdf')
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plt.show()
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