from os import path
from session_directory import load_session_list
import scipy.io as sio
import numpy as np
session_list = load_session_list()
class seqNMF:
def __init__(self,
session_index,
var_names=('H', 'W', 'XC', 'thres'),
mat_file='seqNMF_results.mat'):
self.session_index = session_index
self.mouse = session_list[session_index]["Animal"]
self.directory = session_list[session_index]["Location"]
self.filename = path.join(self.directory, mat_file)
self.data = self.load_data(var_names)
self.count_sequences()
self.sequence_cells = self.get_sequential_cells()
self.order = self.get_sequence_order()
def load_data(self, var_names):
data = sio.loadmat(self.filename, variable_names=var_names)
return data
def count_sequences(self):
try:
self.n_sequences = np.sum(self.data['H'].any(axis=1))
n = np.empty
n1 = 0
for row in pos2:
print(row)
pos3.append(row)
n[n1,:] = row
test = pd.read_csv(posfile,header=None)
ax = test.T.plot(0,1,xlim = [20,130], ylim = [20,130])
ax.axis = 'off'
fig, axes = plt.subplots(2,2)
test.T.plot(0,1,xlim = [20,130], ylim = [20,130], ax = axes[0,1])
fig
import skvideo.io
vid = skvideo.io.vread(vidfile)
fig, ax = plt.subplots(2,2)
ax[0,0].imshow(vid[1])
ax[0,0].axis('off')
test.T.plot(0,1,xlim = [20,130], ylim = [20,130], ax = ax[0,0],legend = False)
fig
import sys
sys.path.append('C:\\Users\\Nat\\Documents\\BU\\Imaging\\Python\\FearReinstatement')
sys.path.append('C:\\Users\\Nat\\Documents\\BU\\Imaging\\Python\\FearReinstatement\\Helpers')
from session_directory import load_session_list
from mouse_sessions import make_session_list as msl
sd = msl('C:\\Users\\Nat\\Documents\\BU\\Imaging\\Working\\Eraser\\SessionDirectories')
x = [1,2,3,4,5]
x == 1
load_session_list('C:\\Users\\Nat\\Documents\\BU\\Imaging\\Working\\Eraser\\SessionDirectories')
