def addVar(self, url, Vars=None, Verbose=True, Levels=None):
"""
Sample variable along DIAL track.
"""
from grads import GrADS
ga = GrADS(Window=False, Echo=False)
fh = ga.open(url)
if Levels is not None:
ga('set lev %s' % Levels)
qh = ga.query('dims')
if Vars is None:
Vars = ga.query('file').vars
elif type(Vars) is StringType:
Vars = [
Vars,
]
for var in Vars:
if Verbose:
print ' Working on <%s>' % var
if fh.Vars[var.lower()].levs == 0:
ga('set lev 1') # 2D variable
else:
ga.setdim(qh)
q = ga.sampleXYT(var,
self.lon,
self.lat,
self.tyme,
Verbose=Verbose).data
self.__dict__[var] = ma.MaskedArray(q, mask=q >= MAPL_UNDEF)
#!/usr/bin/env python
#
# Simple script demonstrating the interp() method.
#
from pylab import *
from numpy import float32
from grads import GrADS, GaField
# Start GrADS and open the data file
# ----------------------------------
ga = GrADS(Bin='grads', Echo=False, Port=True, Window=False)
ga.open('../data/model.ctl')
ga('set t 1 5')
dh = ga.query('dims')
t1, t2 = dh.tyme
ga('set t 1')
# Create sample trajectory
# ------------------------
lats = array([-90, -60, -45, 0, 45, 60, 90])
lons = array([-180, -90, -45, 0, 45, 90, 180])
tyme = array([t1, t1, t1, t2, t2, t2, t2])
# Either do the plotting in Python ...
# ------------------------------------
ga('set t 1')
ts = ga.sampleXYT('ts', lons, lats, tyme)
clf()
