CaTransDecodingCode/CombineMultipleRecordingsScript.py at master · rweaton/CaTransDecodingCode · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Oct  6 15:49:00 2019

@author: thugwithyoyo
"""
import numpy as np
import pandas as pd
from PeriEventTraceFuncLib import *
from CalciumTraceDataframeFuncLib import *
from collections import defaultdict


PathsToBehavFiles = ['/home/thugwithyoyo/CaTransDecoding/CalciumImagingData/2019-01-24/2019-01-24-11-36-02_new_unique_B.json',
                     '/home/thugwithyoyo/CaTransDecoding/CalciumImagingData/2019-01-24/2019-01-24-11-50-23_new_unique_B.json']

PathsToFluorFiles = ['/home/thugwithyoyo/CaTransDecoding/CalciumImagingData/2019-01-24/2019-01-24-11-36-02_new_unique_C.json',
                     '/home/thugwithyoyo/CaTransDecoding/CalciumImagingData/2019-01-24/2019-01-24-11-50-23_new_unique_C.json']


CaImag_df_Combined = pd.DataFrame([])
BehavDict_Combined = defaultdict(dict)

nFiles = len(PathsToBehavFiles)

for i in np.arange(0,nFiles):

    if i == 0:

        CaImag_df_Combined = CellFluorTraces_FrameGen(PathsToFluorFiles[i])
        BehavDict_Combined = BehavDictGen(PathsToBehavFiles[i])

    else:

        CaImag_df = CellFluorTraces_FrameGen(PathsToFluorFiles[i])
        BehavDict = BehavDictGen(PathsToBehavFiles[i])

        CaImag_df_Combined, BehavDict_Combined = \
            RecordingJoiner(CaImag_df_Combined, CaImag_df,
                            BehavDict_Combined, BehavDict)