def getLast25hours(ref):
dsi = ref.getData().getIterator()
esi = ElementFilterIterator(dsi, Constants.DEFAULT_FLAG_FILTER)
while not esi.atEnd():
esi.advance()
esi.retreat()
el = esi.getElement()
endTime = TimeFactory.getInstance().createTime(el.getXString())
tidalDay = TimeFactory.getInstance().createTimeInterval('25hours')
startTime = endTime.create(endTime)
startTime.incrementBy(tidalDay,-1)
tw = TimeFactory.getInstance().createTimeWindow(startTime,endTime)
return DataReference.create(ref,tw)
def getLast25hours(ref):
dsi = ref.getData().getIterator()
esi = ElementFilterIterator(dsi, Constants.DEFAULT_FLAG_FILTER)
while not esi.atEnd():
esi.advance()
esi.retreat()
el = esi.getElement()
endTime = TimeFactory.getInstance().createTime(el.getXString())
tidalDay = TimeFactory.getInstance().createTimeInterval('25hours')
startTime = endTime.create(endTime)
startTime.incrementBy(tidalDay, -1)
tw = TimeFactory.getInstance().createTimeWindow(startTime, endTime)
return DataReference.create(ref, tw)
# get the iterator on that data set, these iterates # through all the values in the data set. Till now there is no # difference between stepping thro the data set or the # iterator dsi = ds.getIterator() # lets filter out the missing values... missing_filter = Constants.DEFAULT_FILTER # lets create an iterator that skips over values for which # missing_filter.isAcceptable returns false # this iterator takes another iterator and the filter missing_iterator = ElementFilterIterator(dsi,missing_filter) # the x value: element.getX() # the y value: element.getY() # the flag (if available else = 0): element.getFlag() element = missing_iterator.getElement() print element.getX(), element.getY(), element.getFlag() # get the 30th good value missing_iterator.positionAtIndex(29) element = missing_iterator.getElement() print element.getX(), element.getY(), element.getFlag() # a loop to loop over all the values till it # reaches the end # we get the element and advance, then check if are at end # if not we continue doing so till we hit the end while not missing_iterator.atEnd(): element = missing_iterator.getElement(); missing_iterator.advance() # # lets step through back, always retreat then get element then check #
# get the iterator on that data set, these iterates
# through all the values in the data set. Till now there is no
# difference between stepping thro the data set or the
# iterator
dsi = ds.getIterator()
# lets filter out the missing values...
missing_filter = Constants.DEFAULT_FILTER
# lets create an iterator that skips over values for which
# missing_filter.isAcceptable returns false
# this iterator takes another iterator and the filter
missing_iterator = ElementFilterIterator(dsi, missing_filter)
# the x value: element.getX()
# the y value: element.getY()
# the flag (if available else = 0): element.getFlag()
element = missing_iterator.getElement()
print element.getX(), element.getY(), element.getFlag()
# get the 30th good value
missing_iterator.positionAtIndex(29)
element = missing_iterator.getElement()
print element.getX(), element.getY(), element.getFlag()
# a loop to loop over all the values till it
# reaches the end
# we get the element and advance, then check if are at end
# if not we continue doing so till we hit the end
while not missing_iterator.atEnd():
element = missing_iterator.getElement()
missing_iterator.advance()
#
# lets step through back, always retreat then get element then check
#
