import vcs.testing.regression as regression
x = regression.init()
f = cdms2.open(os.path.join(vcs.sample_data, "thermo.nc"))
temp = f('t')
levels = temp.getLevel()
time = temp.getTime()
# Break up temp by level
magnitudes = [temp[:, i] for i in range(temp.shape[1])]
for i, mag in enumerate(magnitudes):
mag.id = "%0.f %s" % (levels[i], levels.units)
times = []
for t in time:
reltime = cdtime.relativetime(t, time.units)
comptime = reltime.tocomponent()
times.append(comptime.hour)
thetas = [times] * len(magnitudes)
polar = vcsaddons.getpolar("diurnal")
polar.markers = ["dot"]
polar.markersizes = [3]
polar.markercolors = vcs.getcolors(list(levels))
polar.magnitude_tick_angle = numpy.pi / 8
polar.plot(magnitudes, thetas, bg=True, x=x)
fnm = "test_vcs_addons_polar_diurnal.png"
for row in timeaxis:
print row
lataxis = clt.getLatitude()
lonaxis = clt.getLongitude()
# So, if we want to know where a given point is...
lat_index = 24
lon_index = 50
time_index = 60
# This is the module for easy use of time axis values
import cdtime
print "Value:", clt[time_index][lat_index][lon_index]
# Times are stored as "relative times", or "time since X date"
relative_time = cdtime.relativetime(timeaxis[time_index], timeaxis.units)
# Component time is a more useful format, that has the date/time in human-readable attributes
print "Time:", relative_time.tocomponent()
print "Lat:", lataxis[lat_index]
print "Lon:", lonaxis[lon_index]
# Now we can plot clt at the specified time, and stick a marker at the lat/lon
x = vcs.init()
template = x.createtemplate()
template.scale(0.66, "x")
template.blank()
template.data.priority = 1
x.plot(clt(time=time_index), template)
for row in timeaxis:
print row
lataxis = clt.getLatitude()
lonaxis = clt.getLongitude()
# So, if we want to know where a given point is...
lat_index = 24
lon_index = 50
time_index = 60
# This is the module for easy use of time axis values
import cdtime
print 'Value:', clt[time_index][lat_index][lon_index]
# Times are stored as "relative times", or "time since X date"
relative_time = cdtime.relativetime(timeaxis[time_index], timeaxis.units)
# Component time is a more useful format, that has the date/time in human-readable attributes
print "Time:", relative_time.tocomponent()
print "Lat:", lataxis[lat_index]
print "Lon:", lonaxis[lon_index]
# Now we can plot clt at the specified time, and stick a marker at the lat/lon
x = vcs.init()
template = x.createtemplate()
template.scale(.66, "x")
template.blank()
template.data.priority = 1
x.plot(clt(time=time_index), template)
import testing.regression as regression
x = regression.init()
f = cdms2.open(os.path.join(vcs.sample_data, "thermo.nc"))
temp = f('t')
levels = temp.getLevel()
time = temp.getTime()
# Break up temp by level
magnitudes = [temp[:,i] for i in range(temp.shape[1])]
for i, mag in enumerate(magnitudes):
mag.id = "%0.f %s" % (levels[i], levels.units)
times = []
for t in time:
reltime = cdtime.relativetime(t, time.units)
comptime = reltime.tocomponent()
times.append(comptime.hour)
thetas = [times] * len(magnitudes)
polar = vcsaddons.getpolar("diurnal")
polar.markers = ["dot"]
polar.markersizes = [3]
polar.markercolors = vcs.getcolors(list(levels))
polar.magnitude_tick_angle = numpy.pi / 8
polar.plot(magnitudes, thetas, bg=True, x=x)
fnm = "test_vcs_addons_polar_diurnal.png"
