def timeStepSum(field, offset=-1):
"""set the value of each time step N:
D(N)= D(N) + D(N+offset)
where offset should be negative
"""
offset = int(offset)
return GridMath.timeStepSum(field, offset)
def timeStepSum(field,offset=-1):
"""set the value of each time step N:
D(N)= D(N) + D(N+offset)
where offset should be negative
"""
offset = int(offset)
return GridMath.timeStepSum(field,offset);
def runave(grid, nave=3, option=0):
"""generate a running average:
<div class=jython>
Where:<br>
grid = grid to average<br>
nave - number of steps to average over<br>
option - option for unsmoothed end points<br>
0 - set to missing<br>
1 - use symmetry<br>
-1 - assume cyclic <br>
</div>
"""
steps = int(nave)
opt = int(option)
return GridMath.timeRunningAverage(grid, steps, opt)
def runave(grid, nave=3, option=0):
"""generate a running average:
<div class=jython>
Where:<br>
grid = grid to average<br>
nave - number of steps to average over<br>
option - option for unsmoothed end points<br>
0 - set to missing<br>
1 - use symmetry<br>
-1 - assume cyclic <br>
</div>
"""
steps = int(nave)
opt = int(option)
return GridMath.timeRunningAverage(grid,steps,opt)
def wgt_runave(grid, wgts, option=0):
"""generate a weighted running average:
<div class=jython>
Where:<br>
grid = grid to average<br>
wgts - comma separated list of weights<br>
option - option for unsmoothed end points<br>
0 - set to missing<br>
1 - use symmetry<br>
-1 - assume cyclic <br>
</div>
"""
from ucar.unidata.util import Misc
weights = Misc.parseFloats(wgts)
opt = int(option)
return GridMath.timeWeightedRunningAverage(grid, weights, opt)
def wgt_runave(grid, wgts, option=0):
"""generate a weighted running average:
<div class=jython>
Where:<br>
grid = grid to average<br>
wgts - comma separated list of weights<br>
option - option for unsmoothed end points<br>
0 - set to missing<br>
1 - use symmetry<br>
-1 - assume cyclic <br>
</div>
"""
from ucar.unidata.util import Misc
weights = Misc.parseFloats(wgts)
opt = int(option)
return GridMath.timeWeightedRunningAverage(grid,weights,opt)
def sumFromBaseTime(field):
"""set the value of each time step N:
D(N)= D(N) + D(0)
"""
return GridMath.sumFromBaseTime(field)
def differenceFromBaseTime(field):
"""set the value of each time step N:
D(N)= D(N) - D(0)
"""
return GridMath.differenceFromBaseTime(field)
def averageOverTime(field, makeTimes=0):
"""Average the values in each time step
If makeTimes is true (1) then we return a field mapping all of the times
to the average. Else we just return the average """
return GridMath.averageOverTime(field, makeTimes)
def sumFromBaseTime(field):
"""set the value of each time step N:
D(N)= D(N) + D(0)
"""
return GridMath.sumFromBaseTime(field);
def differenceFromBaseTime(field):
"""set the value of each time step N:
D(N)= D(N) - D(0)
"""
return GridMath.differenceFromBaseTime(field);
def averageOverTime(field,makeTimes=0):
"""Average the values in each time step
If makeTimes is true (1) then we return a field mapping all of the times
to the average. Else we just return the average """
return GridMath.averageOverTime(field,makeTimes);
