def testwriter(self):
freqdist = nltk.FreqDist()
freqdist.inc(('eu' , 'tu'))
freqdist.inc(('eu' , 'tu'))
freqdist.inc(('eu' , 'tu'))
freqdist.inc(('eu' , 'fu'))
freqdist.inc(('gu' , 'tu'))
freqdist.inc(('eu' , 'fu'))
freqdist.inc(('eu' , 'fu'))
freqdist.inc(('gu' , 'mu'))
freqdist.inc(('gu' , 'mu'))
dc = dd.decimalroutines()
for item in freqdist:
prob = freqdist.get(item) / freqdist.N()
op = list()
op.append(item)
op.append(dc.getstring(prob, Decimal('.000000001')))
self.writer.writerow(op)
self.writer.closewriter()
def interpolatelocal(self, attribute, resetattribute=False , records = None):
if records is not None:
self.__records = records
dc = decimalroutines.decimalroutines()
for p in self.__records:
valdic = OrderedDict()
agetype = None
for timeattr in p.getalltimeattribute():
agetype = timeattr.getagetype()
if timeattr.getattribute(attribute) is not None:
valdic[float(timeattr.getage())] = float(timeattr.getattribute(attribute))
k = 2
length = len (valdic.keys())
if length <= 1:
continue
if length <= 2:
k=1
#func = LSQUnivariateSpline(x , y ,t= t, k = k)
weights = None
weights = self.getweights(valdic.keys())
func = UnivariateSpline(valdic.keys() ,valdic.values() , k = k ,w = weights)
firstVal = valdic.keys()[0]
lastVal = valdic.keys()[length -1 ]
xnew = linspace(firstVal, lastVal, lastVal - firstVal )
if len(xnew) <= 1:
continue
ynew = func(xnew)
if resetattribute:
for timeattr in p.getalltimeattribute():
timeattr.setattribute(attribute, None)
count = 0
for xn in xnew :
# print dc.setscale(xn, Decimal('.01')), ' ', dc.setscale(ynew[count], Decimal('.01'))
p.addtimeattributewithnorder(dc.setscale(xn, Decimal('.01')),agetype, attribute , dc.setscale(ynew[count], Decimal('.01')) )
count = count + 1
'''
Created on Nov 1, 2011
A module representing a particular document and
a base storage class containing all the documents.
@author: ashwani
'''
import re
import nltk
import math
from utility.decimalroutines import decimalroutines
from decimal import Decimal
from writer import csvwriter
dc = decimalroutines()
fieldstoget = ['HISTORY:','Feeding:','Eating:', 'Sleeping:', 'Are you giving multivitamins?','Nightime feedings?',
'Started solid foods yet?','Any juice, water, or cereal in the bottle?',
'Sleeping position', 'Voiding:','Gestation Age:','Cesarean:','BIRTH Weight:','Comment:' , 'GENERAL:','CLAVICLES:','CHEST:'
,'OBJECTIVE:','MUSCULOSKELETAL:','VASCULAR:' ,'HIPS:','Head:', 'Voiding pattern:','Stooling pattern:',
'Immunization status reviewed:','Immunization status:','Immunization reviewed:',
'Adverse reaction to previous vaccinations?', 'PHYSICAL EXAMINATION:',
'ABDOMEN:','GENERAL:', 'HEAD:','ROS:', 'Dental:','EYES:','ENT:','NECK:',
'RESP:','HEART:','ABD:','GU:','EXTREMITIES:','SKIN:','NEURO:',
'GROWTH/DEVELOPMENT:','GROWTH:','DEVELOPMENT:','ASSESSMENT:', 'PLAN:',
'No hospital prescriptions on file','No outpatient prescriptions on file','Counseling:' ,'Appetite:' ,
'Activity:','outpatient prescriptions as of', 'EXAM:', 'Growth parameters:',
'Current outpatient prescriptions','Other concerns:','Allergies:' ,'FUNDOSCOPY:',
'Current parental concerns:']
def createtopre(fields):
result =''