def build_data_array(ref0, ref1, ref2):
from vista.set import Constants
from vtimeseries import time
import math
if (ref0==None and ref1==None and ref2==None):
return []
if (ref0!=None and ref1==None and ref2==None):
iterator = multi_iterator([ref0.data], Constants.DEFAULT_FLAG_FILTER)
if (ref0==None and ref1!=None and ref2==None):
iterator = multi_iterator([ref1.data], Constants.DEFAULT_FLAG_FILTER)
if (ref0==None and ref1!=None and ref2!=None):
iterator = multi_iterator([ref1.data,ref2.data], Constants.DEFAULT_FLAG_FILTER)
if (ref0!=None and ref1!=None and ref2==None):
iterator = multi_iterator([ref0.data,ref1.data], Constants.DEFAULT_FLAG_FILTER)
if (ref0!=None and ref1!=None and ref2!=None):
iterator = multi_iterator([ref0.data,ref1.data,ref2.data], Constants.DEFAULT_FLAG_FILTER)
darray=[]
time_str = None
while not iterator.atEnd():
index = iterator.getIndex();
e = iterator.getElement();
date = convert_to_date(time(e.getXString()))
if ((ref0!=None and ref1==None and ref2==None) or (ref0==None and ref1!=None and ref2==None)):
darray.append((date.time, e.getY(0),-999.99))
if ((ref0==None and ref1!=None and ref2!=None) or (ref0!=None and ref1!=None and ref2==None)):
darray.append((date.time, e.getY(0),e.getY(1)))
if (ref0!=None and ref1!=None and ref2!=None):
darray.append((date.time, e.getY(0),e.getY(1),e.getY(2)))
iterator.advance();
return darray
def build_data_array(ref0, ref1, ref2):
from vista.set import Constants
from vtimeseries import time
import math
if (ref0==None and ref1==None and ref2==None):
return []
if (ref0!=None and ref1==None and ref2==None):
iterator = multi_iterator([ref0.data], Constants.DEFAULT_FLAG_FILTER)
if (ref0==None and ref1!=None and ref2==None):
iterator = multi_iterator([ref1.data], Constants.DEFAULT_FLAG_FILTER)
if (ref0==None and ref1!=None and ref2!=None):
iterator = multi_iterator([ref1.data,ref2.data], Constants.DEFAULT_FLAG_FILTER)
if (ref0!=None and ref1!=None and ref2==None):
iterator = multi_iterator([ref0.data,ref1.data], Constants.DEFAULT_FLAG_FILTER)
if (ref0!=None and ref1!=None and ref2!=None):
iterator = multi_iterator([ref0.data,ref1.data,ref2.data], Constants.DEFAULT_FLAG_FILTER)
darray=[]
time_str = None
while not iterator.atEnd():
index = iterator.getIndex();
e = iterator.getElement();
date = convert_to_date(time(e.getXString()))
if ((ref0!=None and ref1==None and ref2==None) or (ref0==None and ref1!=None and ref2==None)):
darray.append((date.time, e.getY(0),-999.99))
if ((ref0==None and ref1!=None and ref2!=None) or (ref0!=None and ref1!=None and ref2==None)):
darray.append((date.time, e.getY(0),e.getY(1)))
if (ref0!=None and ref1!=None and ref2!=None):
darray.append((date.time, e.getY(0),e.getY(1),e.getY(2)))
iterator.advance();
return darray
def build_obs_array(ref):
from vista.set import Constants
from vtimeseries import time
import math
if (ref==None):
return []
iterator = multi_iterator([ref.data], Constants.DEFAULT_FLAG_FILTER)
darray=[]
time_str = None
while not iterator.atEnd():
index = iterator.getIndex();
e = iterator.getElement();
date = convert_to_date(time(e.getXString()))
darray.append((date.time, e.getY(0)))
iterator.advance();
return darray
def build_obs_array(ref):
from vista.set import Constants
from vtimeseries import time
import math
if (ref==None):
return []
iterator = multi_iterator([ref.data], Constants.DEFAULT_FLAG_FILTER)
darray=[]
time_str = None
while not iterator.atEnd():
index = iterator.getIndex();
e = iterator.getElement();
date = convert_to_date(time(e.getXString()))
darray.append((date.time, e.getY(0)))
iterator.advance();
return darray
def expand_seasonal(seasonal, tw):
"""
Given an input time series with seasonal (monthly) values,
create a larger monthly time series
recycling the seasonal values over and over.
Arguments:
seasonal: input time series with seasonal
tw: time window of output
"""
from vtimeseries import time, timewindow, timeinterval
import string
from vista.set import Constants, RegularTimeSeries
ti = timeinterval("1MON")
seasonalVal = {}
filter = Constants.DEFAULT_FLAG_FILTER
for el in seasonal:
if el and filter.isAcceptable(el):
xval = el.getX()
xdate = time(long(xval))
xstr = xdate.toString()
yval = el.getY()
month = string.lower(xstr[2:5])
if seasonalVal.has_key(month):
raise "Ambiguous seasonal values for month of: %s " % month
seasonalVal[month] = yval
#
#
if len(seasonalVal) != 12:
raise "Not all seasonal values found"
t = tw.getStartTime()
t = t.create(t.floor(ti)) # need copy
start = t.create(tw.getStartTime().floor(ti))
end = tw.getEndTime().ceiling(ti)
n = start.getNumberOfIntervalsTo(end, ti)
from jarray import zeros
y = zeros(n + 1, 'd')
i = 0
while (t.getTimeInMinutes() <= end.getTimeInMinutes()):
xstr = t.toString()
month = string.lower(xstr[2:5])
y[i] = seasonalVal[month]
t.incrementBy(ti)
i = i + 1
out = RegularTimeSeries(seasonal.getName(), start.toString(),
timeinterval("1MON").toString(), y, None,
seasonal.getAttributes())
return out
def expand_seasonal(seasonal, tw):
"""
Given an input time series with seasonal (monthly) values,
create a larger monthly time series
recycling the seasonal values over and over.
Arguments:
seasonal: input time series with seasonal
tw: time window of output
"""
from vtimeseries import time,timewindow,timeinterval
import string
from vista.set import Constants,RegularTimeSeries
ti=timeinterval("1MON")
seasonalVal={}
filter=Constants.DEFAULT_FLAG_FILTER
for el in seasonal:
if el and filter.isAcceptable(el):
xval = el.getX()
xdate=time(long(xval))
xstr=xdate.toString()
yval = el.getY()
month = string.lower(xstr[2:5])
if seasonalVal.has_key(month):
raise "Ambiguous seasonal values for month of: %s " % month
seasonalVal[month]=yval
#
#
if len(seasonalVal) != 12:
raise "Not all seasonal values found"
t=tw.getStartTime()
t=t.create(t.floor(ti)) # need copy
start=t.create(tw.getStartTime().floor(ti))
end=tw.getEndTime().ceiling(ti)
n=start.getNumberOfIntervalsTo(end,ti)
from jarray import zeros
y=zeros(n+1,'d')
i=0
while(t.getTimeInMinutes() <= end.getTimeInMinutes() ):
xstr=t.toString()
month=string.lower(xstr[2:5])
y[i]=seasonalVal[month]
t.incrementBy(ti)
i=i+1
out=RegularTimeSeries(seasonal.getName(),start.toString(),
timeinterval("1MON").toString(),y,None,seasonal.getAttributes())
return out
def conserveSpline(avedata, interval):
if not isinstance(interval, TimeInterval):
interval = timeinterval(interval)
start = avedata.getStartTime()
try:
nout = start.getExactNumberOfIntervalsTo(avedata.getEndTime(),
interval) + 1
except:
nout = start.getNumberOfIntervalsTo(avedata.getEndTime(), interval)
n = avedata.size()
from jarray import zeros
x = zeros(n + 1, 'd')
y = zeros(n + 1, 'd')
i = 0
start2 = time(start.toString()) # Pain in the neck way to clone
rev = timeinterval("-" + interval.toString())
start2.incrementBy(avedata.getTimeInterval(), -1)
x[0] = start2.getTimeInMinutes()
for el in avedata:
x[i + 1] = el.getX()
y[i] = el.getY()
i = i + 1
if not Constants.DEFAULT_FLAG_FILTER.isAcceptable(el):
raise "Missing or bad data not allowed in conservative spline"
p = map(lambda x: splineparam, y)
spline = interpolator.ConservativeSpline(x, y, p, y[0], y[n - 1])
ynew = zeros(nout, 'd')
newseries = RegularTimeSeries(
'/Smooth/Data///' + interval.toString() + '//', start.toString(),
interval.toString(), ynew)
dsi = newseries.getIterator()
while not dsi.atEnd():
el = dsi.getElement()
if spline.rh2val(el.getX()) < 0:
# useY=y(el.getX())
useY = spline.rh2val(el.getX())
else:
useY = spline.rh2val(el.getX())
#
el.setY(useY)
dsi.putElement(el)
dsi.advance()
#tabulate(newseries,avedata)
return newseries
def build_data_array(ref1, ref2, tw=None):
from vista.set import Constants
from vtimeseries import time
import math
if (ref1==None and ref2==None):
return []
if tw != None:
data1=ref1.data.createSlice(tw)
data2=ref2.data.createSlice(tw)
iterator = multi_iterator([data1, data2], Constants.DEFAULT_FLAG_FILTER)
darray=[]
time_str = None
while not iterator.atEnd():
index = iterator.getIndex();
e = iterator.getElement();
date = convert_to_date(time(e.getXString()))
darray.append((date.time, e.getY(0), e.getY(1)))
iterator.advance();
return darray
def build_data_array(ref1, ref2, tw=None):
from vista.set import Constants
from vtimeseries import time
import math
if (ref1==None and ref2==None):
return []
if tw != None:
data1=ref1.data.createSlice(tw)
data2=ref2.data.createSlice(tw)
iterator = multi_iterator([data1, data2], Constants.DEFAULT_FLAG_FILTER)
darray=[]
time_str = None
while not iterator.atEnd():
index = iterator.getIndex();
e = iterator.getElement();
date = convert_to_date(time(e.getXString()))
darray.append((date.time, e.getY(0), e.getY(1)))
iterator.advance();
return darray
def conserveSpline(avedata, interval):
if not isinstance(interval,TimeInterval):
interval=timeinterval(interval)
start=avedata.getStartTime()
try:
nout=start.getExactNumberOfIntervalsTo(avedata.getEndTime(),interval)+1
except:
nout=start.getNumberOfIntervalsTo(avedata.getEndTime(), interval)
n=avedata.size()
from jarray import zeros
x=zeros(n+1,'d')
y=zeros(n+1,'d')
i=0
start2=time(start.toString()) # Pain in the neck way to clone
rev=timeinterval("-"+interval.toString())
start2.incrementBy(avedata.getTimeInterval(),-1)
x[0]=start2.getTimeInMinutes()
for el in avedata:
x[i+1]=el.getX()
y[i]=el.getY()
i=i+1
if not Constants.DEFAULT_FLAG_FILTER.isAcceptable(el):
raise "Missing or bad data not allowed in conservative spline"
p=map(lambda x: splineparam, y)
spline=interpolator.ConservativeSpline(x,y,p,y[0],y[n-1])
ynew=zeros(nout,'d')
newseries=RegularTimeSeries('/Smooth/Data///'+interval.toString()+'//',start.toString(),interval.toString(),ynew)
dsi=newseries.getIterator()
while not dsi.atEnd():
el=dsi.getElement()
if spline.rh2val(el.getX()) < 0:
useY=y(el.getX())
else:
useY=spline.rh2val(el.getX())
#
el.setY(useY)
dsi.putElement(el)
dsi.advance()
#tabulate(newseries,avedata)
return newseries
