sort chirps and chirp ids in time
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@ -53,8 +53,6 @@ class Behavior:
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self.start_s = (self.start_s - shift) / factor
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self.stop_s = (self.stop_s - shift) / factor
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"""
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1 - chasing onset
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2 - chasing offset
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@ -83,9 +81,14 @@ temporal encpding needs to be corrected ... not exactly 25FPS.
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"""
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def main(datapath: str):
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# behabvior is pandas dataframe with all the data
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# behavior is pandas dataframe with all the data
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bh = Behavior(datapath)
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# chirps are not sorted in time (presumably due to prior groupings)
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# sort chirps and corresponding fish_ids of the chirps
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bh.chirps = bh.chirps[np.argsort(bh.chirps)]
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bh.chirps_ids = bh.chirps_ids[np.argsort(bh.chirps)]
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fig, ax = plt.subplots()
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ax.plot(bh.chirps, np.ones_like(bh.chirps), marker='o')
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