def lastTrialsOfLevels(data=None):
if not data:
users, data = dataProcesada()
listOfIndex = []
for levelInstance in data[cts.P_LevelInstance].unique():
listOfIndex += [
data[data[cts.P_LevelInstance] == levelInstance].index[-1]
]
data = data.loc[listOfIndex]
data = data[[
cts.P_UserId, cts.P_Alias, cts.P_LevelIdentificador, cts.P_FaseActiva,
cts.P_OrientacionEntrenamiento, cts.P_NivelEstimuloDinamica,
cts.P_LevelInstance, cts.P_SessionInstance
]]
return data
def plotByUser (specificData=False, alias=["Todos"], filtroCompletadoActivo=True,
expList=cts.expList, onlyOneUser=True, number=-1, join=False, db=None):
users, db = dataProcesada(specificData=specificData, alias=alias, filtroCompletadoActivo=filtroCompletadoActivo,
expList=expList, onlyOneUser=onlyOneUser, number=number, join=join, db=db)
"""
excludedSessionInstance = [1473088663797]
from scripts.db import pandasTransferencia
if not specificData:
db = pandasTransferencia()
users = db[cts.P_Alias].unique() if alias == ["Todos"] else alias
"""
for user in users:
"""
if onlyOneUser:
if user != users[number]:
continue
"""
userDb = db[db[cts.P_Alias]==user]
"""
if filtroCompletadoActivo:
userDb = userDb[userDb[cts.P_LevelFinalizado]==True]
"""
exps = userDb[cts.P_LevelIdentificador].unique()
for exp in exps:
#display (exp)
if exp in expList:
data = userDb[userDb[cts.P_LevelIdentificador]==exp]
#data = userDb[~userDb[cts.P_SessionInstance].isin(excludedSessionInstance)]
plotConvergencia (data, exp, join=join)
def lastTrialsOfLevels(data=None):
if not data:
users, data = dataProcesada()
listOfIndex = []
for levelInstance in data[cts.P_LevelInstance].unique():
listOfIndex += [data[data[cts.P_LevelInstance] == levelInstance].index[-1]]
data = data.loc[listOfIndex]
data = data[
[
cts.P_UserId,
cts.P_Alias,
cts.P_LevelIdentificador,
cts.P_FaseActiva,
cts.P_OrientacionEntrenamiento,
cts.P_NivelEstimuloDinamica,
cts.P_LevelInstance,
cts.P_SessionInstance,
]
]
return data