raab/GP2023_chirp_detection
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sprause 2023-01-19 17:30:04 +01:00
parent 9bc13294d8
commit 7bf39da31c
1 changed files with 23 additions and 8 deletions
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code/behavior.py
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@ -86,16 +86,31 @@ def main(datapath: str):
bh = Behavior(datapath) bh = Behavior(datapath)
# chirps are not sorted in time (presumably due to prior groupings) # chirps are not sorted in time (presumably due to prior groupings)
# sort chirps and corresponding fish_ids of the chirps # get and sort chirps and corresponding fish_ids of the chirps
bh.chirps = bh.chirps[np.argsort(bh.chirps)] chirps = bh.chirps[np.argsort(bh.chirps)]
bh.chirps_ids = bh.chirps_ids[np.argsort(bh.chirps)] chirps_ids = bh.chirps_ids[np.argsort(bh.chirps)]
category = bh.behavior
timestamps = bh.start_s
# split categories
chasing_onset = timestamps[category == 0]
chasing_offset = timestamps[category == 1]
physical_contact = timestamps[category == 2]
# Physical contact-triggered chirps (PTC) mit Rasterplot
# Wahrscheinlichkeit von Phys auf Ch und vice versa
# Chasing-triggered chirps (CTC) mit Rasterplot
# Wahrscheinlichkeit von Chase auf Ch und vice versa
# First overview plot
fig, ax = plt.subplots() fig, ax = plt.subplots()
ax.plot(bh.chirps, np.ones_like(bh.chirps), marker='o') ax.scatter(chirps, np.ones_like(chirps), marker='*', color='royalblue', label='Chirps')
ax.plot(bh.start_s, np.ones_like(bh.start_s)*2, marker='*') ax.scatter(chasing_onset, np.ones_like(chasing_onset)*2, marker='.', color='forestgreen', label='Chasing onset')
ax.scatter(chasing_offset, np.ones_like(chasing_offset)*2.5, marker='.', color='firebrick', label='Chasing offset')
ax.scatter(physical_contact, np.ones_like(physical_contact)*3, marker='x', color='black', label='Physical contact')
plt.legend()
plt.show() plt.show()
embed() embed()
exit() exit()