import ArenaBehaviorAnalysis as aba
import pylab
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as pyplot
import pylab
import scipy
import os
e_safe5_first = aba.loadDataFromFile(
os.path.expanduser("~/Dropbox/ConchisData/2013-05-16/f00438/f00438_2013-05-16-14-13-03.json")
)
e_shock5 = aba.loadDataFromFile(
os.path.expanduser("~/Dropbox/ConchisData/2013-05-16/f00438/f00438_2013-05-16-14-44-45.json")
)
e_safe5_sec = aba.loadDataFromFile(
os.path.expanduser("~/Dropbox/ConchisData/2013-05-16/f00438/f00438_2013-05-16-15-39-01.json")
)
e_safe_same = aba.loadDataFromFile(
os.path.expanduser("~/Dropbox/ConchisData/2013-05-07/f00411/f00411_2013-05-07-14-15-17.json")
) # ,bAcqArenaPoly=True)
e_shock_same = aba.loadDataFromFile(
os.path.expanduser("~/Dropbox/ConchisData/2013-05-07/f00411/f00411_2013-05-07-14-46-43.json")
)
e_safe_same_sec = aba.loadDataFromFile(
os.path.expanduser("~/Dropbox/ConchisData/2013-05-07/f00411/f00411_2013-05-07-15-40-02.json")
)
mpl.rcParams.update({"font.size": 18})
import ArenaBehaviorAnalysis as aba
import pylab
import numpy as np
e_fish_youngNR = [
"/home/vburns/Dropbox/ConchisData/2013-02-12/f00134/f00134_2013-02-12-17-57-45.json",
"/home/vburns/Dropbox/ConchisData/2013-02-12/f00135/f00135_2013-02-12-17-57-30.json",
]
e_fish_youngNR = aba.loadMultipleDataFiles(e_fish_youngNR)
e_fish_youngR = "/home/vburns/Dropbox/ConchisData/2013-02-12/f00136/f00136_2013-02-12-17-57-33.json"
e_fish_youngR = aba.loadDataFromFile(e_fish_youngR)
e_fish_youngR = [e_fish_youngR]
e_fish_oldNR = [
"/home/vburns/Dropbox/ConchisData/2013-02-12/f00138/f00138_2013-02-12-17-57-37.json",
"/home/vburns/Dropbox/ConchisData/2013-02-12/f00139/f00139_2013-02-12-17-57-40.json",
]
e_fish_oldNR = aba.loadMultipleDataFiles(e_fish_oldNR)
e_fish_oldR = [
"/home/vburns/Dropbox/ConchisData/2013-02-12/f00140/f00140_2013-02-12-17-57-48.json",
"/home/vburns/Dropbox/ConchisData/2013-02-12/f00141/f00141_2013-02-12-17-57-51.json",
"/home/vburns/Dropbox/ConchisData/2013-02-12/f00142/f00142_2013-02-12-17-57-53.json",
]
e_fish_oldR = aba.loadMultipleDataFiles(e_fish_oldR)
# assumes shock is on red
(e_frac_yNR, e_dist_yNR) = aba.getSidePreference_Multi(e_fish_youngNR, cond=[8, 8], refState="Red")
(e_frac_yR, e_dist_yR) = aba.getSidePreference_Multi(e_fish_youngR, cond=[8, 8], refState="Red")
(e_frac_oNR, e_dist_oNR) = aba.getSidePreference_Multi(e_fish_oldNR, cond=[8, 8], refState="Red")
import ArenaBehaviorAnalysis as aba import pylab import numpy as np #f is five day old fish, t is thirteen day old fish f_fish = ['/home/vburns/Dropbox/ConchisData/2013-01-09/f00056/f00056_2013-01-09-15-15-30.json', '/home/vburns/Dropbox/ConchisData/2013-01-09/f00057/f00057_2013-01-09-15-15-28.json', '/home/vburns/Dropbox/ConchisData/2013-01-09/f00058/f00058_2013-01-09-15-15-26.json', '/home/vburns/Dropbox/ConchisData/2013-01-30/f00113/f00113_2013-01-30-10-58-49.json', '/home/vburns/Dropbox/ConchisData/2013-01-30/f00014/f00014_2013-01-30-10-58-47.json', '/home/vburns/Dropbox/ConchisData/2013-01-30/f00115/f00115_2013-01-30-10-58-45.json', '/home/vburns/Dropbox/ConchisData/2013-01-30/f00116/f00116_2013-01-30-10-58-42.json'] f_fish = aba.loadMultipleDataFiles(f_fish) fb = '/home/vburns/Dropbox/ConchisData/2013-01-09/f00059/f00059_2013-01-09-15-15-24.json' fb = aba.loadDataFromFile(fb) fb['warpedTracking'][:,1] = 48-fb['warpedTracking'][:,1] f_fish = f_fish + [fb] t_fish = ['/home/vburns/Dropbox/ConchisData/2013-01-09/f00061/f00061_2013-01-09-14-30-06.json', '/home/vburns/Dropbox/ConchisData/2013-01-09/f00062/f00062_2013-01-09-14-30-08.json', '/home/vburns/Dropbox/ConchisData/2013-01-09/f00063/f00063_2013-01-09-14-30-10.json'] t_fish = aba.loadMultipleDataFiles(t_fish) tb = '/home/vburns/Dropbox/ConchisData/2013-01-09/f00060/f00060_2013-01-09-14-30-04.json' tb = aba.loadDataFromFile(tb) tb['warpedTracking'][:,1] = 48-tb['warpedTracking'][:,1] t_fish = t_fish + [tb]
