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maxMassSurfPlotter.py
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maxMassSurfPlotter.py
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import sqlite3
from numpy import *
from sqlUtils import queryDBGivenParams
MAYAVI_OFF=False
if not MAYAVI_OFF:
import mayavi.mlab as mlab
columnsString=''' (pointNum int, point text, gradDict text, projGrad text, normProj real,
eos text, rollMid real, rollScale real, a real, T real,
omega_c real, J real, gravMass real, edMax real, baryMass real,
ToverW real, arealR real, VoverC real, omg_c_over_Omg_c real,
rpoe real, Z_p real, Z_b real, Z_f real, h_direct real,
h_retro real, e_over_m real, shed real,
RedMax real, propRe real, runType int, runID text, lineNum int) '''
# Omega_c cJ/GMs^2 M/Ms Eps_c Mo/Ms T/W R_c v/c omg_c/Omg_c rp Z_p Z_b Z_f h-direct h-retro e/m Shed RedMax
#ASSUMES TABLE NAME IS MODELS
class surfacePlotter(object):
dbFile=None
independentVars=()
dependentVar=None
colorVar=None
dbConnection=None
def __init__(self, dbFile, independentVars,dependentVar,colorVar=None ):
assert isinstance(dbFile,str)
assert len(independentVars) == 2, "Surface plot has two independent variables"
assert isinstance(dependentVar,str)
self.independentVars=independentVars
self.dependentVar=dependentVar
self.colorVar=colorVar
self.dbConnection = sqlite3.connect(dbFile)
def plotWithCondition(self, condition):
assert isinstance(condition,str), "must enter a condition!"
cursor=self.dbConnection.cursor()
xname = self.independentVars[0]
yname = self.independentVars[1]
xs=[]
for i in cursor.execute("SELECT DISTINCT " + xname + " FROM models ORDER BY "
+ xname):
val = i[0]
if xname == "edMax":
val = val#/1.0e15
xs.append(val)
ys=[]
for i in cursor.execute("SELECT DISTINCT " + yname + " FROM models ORDER BY "
+ yname):
val = i[0]
if yname == "edMax":
val = val#/1.0e15
ys.append(val)
#print xs
#print ys
#####
#
xs, ys = meshgrid(xs,ys)
# reverse order since mlab uses mgrid format which returns transpose of matrices in meshgrid style
xs = xs.transpose()
ys = ys.transpose()
#
#####
def lookup(x,y):
assert x >= 0., "Lookup only well defined for x >=0"
assert y >= 0., "Lookup only well defined for y >=0"
tolerance = 1.0001
additionalConditions=[]
if not x == 0:
additionalConditions.append( xname + ">" + str(x/tolerance) )
additionalConditions.append( xname + "<" + str(x*tolerance) )
else:
additionalConditions.append(xname + "=" + str(x))
if not y == 0:
additionalConditions.append(yname + ">" + str(y/tolerance))
additionalConditions.append( yname + "<" + str(y*tolerance))
else:
additionalConditions.append(yname + "=" + str(y))
additionalConditions.append(condition)
#print additionalConditions
value= queryDBGivenParams(self.dependentVar,
{},
cursor,"models", tuple( additionalConditions ))
#print x,y, value
if value:
if len(value[0]) > 1 :
print "WARNING MORE THAN ONE VALUE FOUND!!!"
return value[0][0]
else:
print "WARNING: no value"
return 0.0
zs = zeros(xs.shape)
for i in range(len(xs)):
row = xs[i]
#print row
for j in range(len(row)):
#print xs[i][j], ys[i][j]
zs[i][j] = lookup(xs[i][j], ys[i][j] )
if xname == "edMax":
xs = array(xs*1e-15)
else:
xs = array(xs)
if yname == "edMax":
ys=array(ys*1e-15)
else:
ys = array(ys)
zs = array(zs)
#print xs
#print ys
#print zs
#print size(xs)
#print size(ys)
#print size(zs)
fig=mlab.figure(bgcolor=(.5,.5,.5))
extents=[xs.min(),xs.max(),
ys.min(),ys.max(),
zs.min(),zs.max()]
mlab.surf(xs,ys,zs, colormap="bone",representation='wireframe',
extent=extents
)
mlab.axes(extent=extents,nb_labels=6)
mlab.outline(extent=extents)
mlab.xlabel(xname)
mlab.ylabel(yname)
mlab.zlabel(self.dependentVar)
#mlab.show()