I have a question regarding nested tables. The populating a nested table
example in the PyTables UserManual (pp. 44-45) only deals with a nested table
that is called once and really doesn't subdivide. However, what if my data
structure looks something like:
MotorName ExpSet Load Efficiency
| | |__ 25%____|____80%___|
| | Set #1 | 50% | 85% |
| 2313
|-------------------|-------------------|-------------------|
| | Set #2 |___25%____|____81%___|
|_______________ |___________|___50%____|____87%___|
| |
| 2314 | <continuation>
|_______________ |
I'm not sure how to use the row.append() for such a situation. For example, I
first populate MotorName, then Set#1, then 25% and 80%. Next I want to proceed
to the next "subrow", so do I do a row.append() now? If so does it append that
"subrow" only, or does it automatically jump to the next MotorName row (2314)?
Or is there another preferred method of filling such nested tables?
Any help would be greatly appreciated,
K Christman
import cPickle
import re
from tables import *
f=open('a.dat')
a=cPickle.load(f)
f.close()
f=open('b.dat')
b=cPickle.load(f)
f.close()
f=open('c.dat')
c=cPickle.load(f)
f.close()
f=open('d.dat')
d=cPickle.load(f)
f.close()
class MotorData(IsDescription):
MotorCompany = StringCol(16,pos=0)
MotorType = StringCol(8,pos=1)
CatalogNum = StringCol(16,pos=2)
SpecNum = StringCol(16,pos=3)
N_RatedHP = UInt16Col(pos=4)
N_Voltage = StringCol(16,pos=5)
N_Hertz = UInt8Col(pos=6)
N_Phase = UInt8Col(pos=7)
N_FullLoadAmps = StringCol(16,pos=8)
UsableAt208Volts = Float32Col(pos=9)
N_SyncSpeed = UInt16Col(pos=10)
FrameSize = StringCol(8,pos=11)
N_ServiceFactor = Float32Col(pos=12)
N_Rating = StringCol(16,pos=13)
N_LockedRotorCode = StringCol(1,pos=14)
N_NEMA_DesignCode = StringCol(1,pos=15)
InsulationClass = StringCol(1,pos=16)
N_NominalEfficiency = Float32Col(pos=17) #this should be decimal
N_NominalPowerFactor = Float32Col(pos=18)
Enclosure = StringCol(8,pos=19)
BaldorType = StringCol(8,pos=20)
DE_Bearing = StringCol(8,pos=21) #this could be a Int once we confirm they
are all integers
ODE_Bearing = StringCol(8,pos=22)
ElectricalSpecNum = StringCol(16,pos=23)
MechanicalSpecNum = StringCol(16,pos=24)
Base = StringCol(8,pos=25)
Mounting = StringCol(8,pos=26)
#ExpSet = MotorDataExpSets()
class ExpSets(IsDescription):
#many of these should be converted to number formats
#_v_pos = 1
FullLoadTorque = Float32Col(pos=0)
StartConfig = StringCol(8,pos=1)
BreakDownTorque = Float32Col(pos=2)
PullUpTorque = Float32Col(pos=3)
LockedRotorTorque = Float32Col(pos=4)
StartingCurrent = Float32Col(pos=5)
NoLoadCurrent = Float32Col(pos=6)
LineLineResistance = Float32Col(pos=7)
TempRiseatFL = UInt8Col(pos=8)
TempRiseatSF = UInt8Col(pos=9)
#ExpSets2 = MotorLoadTest()
class ExpSets2(IsDescription):
#_v_pos = 2
pLoad = Float32Col(pos=0)
PowerFactor = Float32Col(pos=1)
Efficiency = Float32Col(pos=2)
Speed = UInt16Col(pos=3)
LineAmps = Float32Col(pos=4)
fileh = openFile('data2.h5', 'w')
DryExp = fileh.createTable(fileh.root, 'DryExp', MotorData)
row = DryExp.row
def returnNum(string):
reg_ex = re.compile(r'([0-9.]*)') #regular expression
return float(reg_ex.search(string).group(1))
for i in range(10):
row['N_RatedHP'] = returnNum(b[0][i])
row['N_Hertz'] = int(b[1][i])
row['N_NominalEfficiency'] = float(b[2][i])/100
row['N_Voltage'] = b[3][i]
row['N_Phase'] = int(b[4][i])
row['N_NominalPowerFactor'] = float(b[5][i])/100
row['N_FullLoadAmps'] = b[6][i]
row['N_NEMA_DesignCode'] = b[7][i]
row['N_ServiceFactor'] = float(b[8][i])
row['N_SyncSpeed'] = int(b[9][i])
row['N_LockedRotorCode'] = b[10][i]
row['N_Rating'] = b[11][i]
row['ExpSets/FullLoadTorque'] = float(returnNum(b[12][i]))
row['ExpSets/StartingCurrent'] = float(returnNum(b[13][i]))
row['ExpSets/StartConfig'] = b[14][i]
row['ExpSets/NoLoadCurrent'] = float(returnNum(b[15][i]))
row['ExpSets/BreakDownTorque'] = float(returnNum(b[16][i]))
row['ExpSets/LineLineResistance'] = float(returnNum(b[17][i]))
row['ExpSets/PullUpTorque'] = float(returnNum(b[18][i]))
row['ExpSets/TempRiseatFL'] = int(b[19][i])
row['ExpSets/LockedRotorTorque'] = float(returnNum(b[20][i]))
row['ExpSets/TempRiseatSF'] = int(b[21][i])
for j in range(2):
row['ExpSets/ExpSets2/pLoad'] = float(b[22+j][i])/100
row['ExpSets/ExpSets2/PowerFactor'] = float(b[29+j][i])/100
row['ExpSets/ExpSets2/Efficiency']= float(b[36+j][i])/100
row['ExpSets/ExpSets2/Speed'] = int(b[43+j][i])
row['ExpSets/ExpSets2/LineAmps'] = float(b[50+j][i])
row.append() #this should be for the subrow only
row.append()
DryExp.flush()
fileh.close()
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