pltParamList = ['trackNum', 'trackDurMed',
'disTot', 'speed',
'straightness', 'gti',
]
baseDir = '/media/aman/data/flyWalk_data/climbingData/climbingData_20181201/csvDir/'
fig = 'fig5'
figList = ['fig2', 'fig3', 'fig4', 'fig5']
#dfLbls = ['paramVal','genotype']
#frmla = dfLbls[0]+'~'+dfLbls[1]
csvExt = ['*trackStats*.csv']
figDataFName = baseDir+'figDataFiles.txt'
figFoldersList = bfTrkStats.readFigFolderFile(figDataFName, figList)
csvDirs = bf.getDirList(baseDir)
currTime = bf.present_time()
print ("=============== Processing for all genotypes =============")
#grpLbls = ['result','timePoint','flyNumber', 'genotype']
#pMin = 0.05
#============================================================================================================
#for fig in figList:
# statsFName = baseDir+fig+'_stats_perMin_'+currTime+'.csv'
# figGenotypes = list(set([f.split(os.sep)[1].split('_')[-1] for f in figFoldersList[fig]]))
# totalData = {}
# totalDataTmSrs = {}
# pooledTotalData = {}
# pooledTotalDataTmSrs = {}
# pltTotalData = {}
def readFigFolderFile(figFolderFName, figFolderList):
figFoldersDict = {}
with open(figFolderFName, 'r') as f:
lines = f.readlines()
for figFold in figFolderList:
figFoldersDict[figFold] = [line for line in lines if figFold in line]
return figFoldersDict
#baseDir = '/media/pointgrey/data/flywalk/'
#baseDir = bf.getFolder(baseDir)
baseDir = '/media/aman/data/flyWalk_data/climbingData/climbingData_20181201/csvDir/'
fig = 'fig5'
statsFName = baseDir + fig + '_stats_Total5min_Sex_GTI_' + bf.present_time(
) + '.csv'
csvExt = ['*trackStats*.csv']
figDataFName = baseDir + 'figDataFiles.txt'
figFoldersList = readFigFolderFile(figDataFName, [fig])
figGenotypes = list(
set([f.split(os.sep)[1].split('_')[-1] for f in figFoldersList[fig]]))
pMin = 0.05
print("=============== Processing for all genotypes =============")
csvDirs = bf.getDirList(baseDir)
totalData = {}
pooledTotalData = {}
for genotype in figGenotypes: