>>> f=cdms2.open("/lgm/uvcdat/2014-10-21/sample_data/ta_ncep_87-6-88-4.nc")
>>> s=f("ta")
>>> cdutil.times.setTimeBoundsMonthly(s)
>>> prof = cdutil.averager(s,axis="tyx")
>>> prof
variable_24
masked_array(data = [288.27231405034973 284.30932052620835 280.88756235862184
273.35591865742265 266.73424715080756 258.37956505472926
247.78358085521606 233.96956653769485 226.5883521449616 219.84668430531468
213.02949950621755 206.60788661421552 207.7630171842873 211.58796476699297
217.42072196420935 221.91150441968372 231.46751381742072],
mask = [False False False False False False False False False False False False
False False False False False],
fill_value = 1.00000002004e+20)
>>> prof.getLevel()[:]
array([ 1000., 925., 850., 700., 600., 500., 400., 300.,
250., 200., 150., 100., 70., 50., 30., 20.,
10.], dtype=float32)
>>> x.plot(prof)
<vcs.displayplot.Dp object at 0x7fc4193e73d0>
>>> x.png("bad_profile")
1000 level in following is 288 but shown as last level 231