def getMeta(details):
acnum = details['acnum']
try:
dataobj = Data(acnum)
except:
return None
#get samples list from pivoted table
dataset = dataobj.getDataTable()
#generate the csv file
csvWrite(dataset)
samples = list(dataobj.getDataTable().columns)
#prepare meta data
description = dataobj.getDescription()
return description, samples, dataset
def visualize(details):
#get accNum
acnum = details['acnum']
gtype = details['gtype']
#obtain a Data Object for the GEO accession number
try:
dataobj = Data(acnum)
except:
return None
#get pivoted dataset
dataset = dataobj.getDataTable()
if (gtype == "scatter"):
try:
return plotScatter(dataset, details['genes'])
except:
return "Error"
elif (gtype == "heatmap"):
return plotHeat(dataset)
elif (gtype == "box"):
return plotBox(dataset)
elif (gtype == "hist"):
return plotHist(dataset)
elif (gtype == "bar"):
return plotBar(dataset, details['sample'], details['number'])
else:
return None, None