def transform_data():
sessionid = session["id"]
user_sess = UserSession.query.filter(UserSession.id == sessionid).first()
pid = user_sess.pid
aid = user_sess.aid
p = Project.query.filter(Project.id == pid).first()
inputs = Input.query.filter(Input.analysis == aid).all()
controls = Control.query.filter(Control.analysis == aid).all()
outputs = Output.query.filter(Output.analysis == aid).all()
ovars = [o.varname for o in outputs if o.varname != None and o.varname != ""]
ivars = [i.varname for i in inputs if i.varname != None and i.varname != ""]
cvars = [c.varname for c in controls if c.varname != None and c.varname != ""]
filename = p.file_name
file_loc = p.file_location
csvf = convert.transform(file_loc)
indices = []
var_out_info = []
for i in ivars:
# Replace missing data
try:
csvf[i] = csvf[i].fillna(0)
# Removing outliers
outinfo = remOutliers(csvf[i])
indices = outinfo[0]
# csvf=csvf.drop(indices)
var_out_info.append((i, outinfo[1], outinfo[2], outinfo[3]))
except TypeError as e:
app.logger.exception(traceback.format_exc())
flash("Please select only numeric fields")
# Output Variables
for o in ovars:
try:
csvf[o] = csvf[o].fillna(0)
# Removing outliers
outinfo = remOutliers(csvf[o])
indices = outinfo[0]
# csvf=csvf.drop(indices)
var_out_info.append((o, outinfo[1], outinfo[2], outinfo[3]))
except TypeError as e:
app.logger.exception(traceback.format_exc())
flash("Please select only numeric fields")
# UserSession.query.filter_by(id=sessionid).update({"output":ovars})
# UserSession.query.filter_by(id=sessionid).update({"input":ivars})
# UserSession.query.filter_by(id=sessionid).update({"control":cvars})
# UserSession.query.filter_by(id=sessionid).update({"csvf":csvf})
print "before storing in session"
session["ovars"] = ovars
session["ivars"] = ivars
session["cvars"] = cvars
print "type csvf", type(csvf)
data[pid] = csvf
# db_session.commit()
return render_template("outliers.html", data=var_out_info)
def transform_data():
pid=session["pid"]
aid=session["aid"]
p=Project.query.filter(Project.id==pid).first()
inputs=Input.query.filter(Input.analysis==aid).all()
controls=Control.query.filter(Control.analysis==aid).all()
outputs=Output.query.filter(Output.analysis==aid).all()
ovars=[o.varname for o in outputs if o.varname != None and o.varname!='']
ivars=[i.varname for i in inputs if i.varname != None and i.varname!='']
cvars=[c.varname for c in controls if c.varname != None and c.varname!='']
filename=p.file_name
file_loc=p.file_location
csvf=convert.transform(file_loc)
indices=[]
var_out_info=[]
for i in ivars:
#Replace missing data
try:
csvf[i]=csvf[i].fillna(0)
#Removing outliers
outinfo=remOutliers(csvf[i])
indices=outinfo[0]
#csvf=csvf.drop(indices)
var_out_info.append((i,outinfo[1],outinfo[2],outinfo[3]))
except TypeError as e:
app.logger.exception(traceback.format_exc())
flash('Please select only numeric fields')
#Output Variables
for o in ovars:
try:
csvf[o]=csvf[o].fillna(0)
#Removing outliers
outinfo=remOutliers(csvf[o])
indices=outinfo[0]
#csvf=csvf.drop(indices)
var_out_info.append((o,outinfo[1],outinfo[2],outinfo[3]))
except TypeError as e:
app.logger.exception(traceback.format_exc())
flash('Please select only numeric fields')
session['output']=ovars
session['input']=ivars
session['control']=cvars
data[pid]=csvf
return render_template("outliers.html",data=var_out_info)
