[Numpy-discussion] numpy.mean slicing in a netCDF file
Benjamin Root
ben.root at ou.edu
Wed Oct 15 17:04:34 EDT 2014
Stephen is being a bit modest by putting xray last in the list. I recommend
it, and it is very painless to install. I could only get iris installed via
a SciTools repo on binstar and even then, I had to tinker with a few things
to get it working (and it was only the linux binaries, too).
Ben Root
On Wed, Oct 15, 2014 at 3:44 PM, Chris Barker <chris.barker at noaa.gov> wrote:
> On Tue, Oct 14, 2014 at 11:30 AM, Fadzil Mnor <fadzilmnor84 at gmail.com>
> wrote:
>
>> I've been trying to install IRIS on my laptop (OS X) for months. Errors
>> everywhere.
>> I'll look at that IRIS again, and other links.
>>
>
> IRIS has been an install challeng,e but gotten better.
>
> And you ay even find a conda package for it if you use Anaconda -- I put
> one up during Scipy -- they may be a newer build, though.
>
> -Chris
>
>
>
>
>> Cheers,
>>
>>
>> Fadzil
>>
>> On Tue, Oct 14, 2014 at 7:09 PM, Stephan Hoyer <shoyer at gmail.com> wrote:
>>
>>> Hi Fadzil,
>>>
>>> My strong recommendation is that you don't just use numpy/netCDF4 to
>>> process your data, but rather use one of a multitude of packages that have
>>> been developed specifically to facilitate working with labeled data from
>>> netCDF files:
>>> - Iris: http://scitools.org.uk/iris/
>>> - CDAT: http://uvcdat.llnl.gov/
>>> - xray (my project): http://xray.readthedocs.org
>>>
>>> I can't answer your specific question without taking a careful look at
>>> your data, but in very general terms, your code will have fewer bugs if you
>>> can use meaningful labels to refer to your data rather than numeric ranges
>>> like 396:757:12.
>>>
>>> Best,
>>> Stephan
>>>
>>>
>>> On Tue, Oct 14, 2014 at 3:50 AM, Fadzil Mnor <fadzilmnor84 at gmail.com>
>>> wrote:
>>>
>>>> Hi all,
>>>> I wrote a script and plot monthly mean zonal wind (from a netcdf file
>>>> names uwnd.mon.mean.nc) and I'm not sure if I'm doing it correctly.
>>>> What I have:
>>>>
>>>>
>>>> ********************************************************************************
>>>> *#this part calculates mean values for january only, from 1980-2010;
>>>> thus the index looks like this 396:757:12*
>>>>
>>>> def ujan():
>>>> f = nc.Dataset('~/data/ncep/uwnd.mon.mean.nc')
>>>> u10_1 = f.variables['uwnd']
>>>> u10_2 = np.mean(u10_1[396:757:12,:,38,39:43],axis=0)
>>>> return u10_2
>>>>
>>>> uJan = ujan()* #calling function*
>>>>
>>>> *#this part is only to define lon, lat and level *
>>>> q = nc.Dataset('~/data/ncep/uwnd.mon.mean.nc')
>>>> lon=q.variables['lon']
>>>> lat=q.variables['lat']
>>>> lev=q.variables['level']
>>>>
>>>> *#for some reason I need to define this unless it gave error "length of
>>>> x must be number of column in z"*
>>>>
>>>> lon=lon[39:43]
>>>>
>>>> *#begin plotting*
>>>>
>>>> clevs=np.arange(-10.,10.,0.5)
>>>> fig = plt.figure(figsize=(11, 8))
>>>> fig.clf()
>>>> ax = fig.add_subplot(111)
>>>> ax.axis([97.5, 105., 1000., 10.])
>>>> ax.tick_params(direction='out', which='both')
>>>> ax.set_xlabel('Lon (degrees)')
>>>> ax.set_ylabel('Pressure (mb)')
>>>> ax.set_xticks(np.arange(97.5, 105., .5))
>>>> ax.set_yticks([1000, 700, 500, 300, 100, 10])
>>>> cs=ax.contourf(lon, lev, uJan, clevs, extend='both',cmap='seismic')
>>>> plt.title('Zonal winds average (Jan, 1981-2010)')
>>>> cax = fig.add_axes([0.99, 0.1, 0.03, 0.8])
>>>> aa=fig.colorbar(cs,cax=cax,orientation='vertical')
>>>> aa.set_label('m/s')
>>>> plt.savefig('~/uwind-crossection-test.png', bbox_inches='tight')
>>>>
>>>> *******************************************************************************
>>>>
>>>> the result is attached.
>>>> I have no idea how to confirm the result (at least until this email is
>>>> written) , but I believe the lower altitude values should be mostly
>>>> negative, because over this region, the zonal wind are usually easterly
>>>> (thus,negative values), but I got positive values.
>>>>
>>>> Put the information above aside, *I just want to know if my slicing in
>>>> the ujan() function is correct*. If it is, then, there must be nothing
>>>> wrong(except my above mentioned assumption).
>>>> The data file dimension is:
>>>> *[time,level,latitude,longitude]*
>>>>
>>>> This part:
>>>> *u10_2 = np.mean(u10_1[396:757:12,:,38,39:43],axis=0)*
>>>> The line above will calculate the mean of zonal wind (uwnd) in a range
>>>> of time index 396 to 757 for each year (january only), for all vertical
>>>> level, at latitude index 38 (5 N) and in between longitude index 39 to 43
>>>> (97.5E-105E).
>>>> I assume it will calculate a 30-year average of zonal wind for january
>>>> only.
>>>> Is this correct?
>>>>
>>>> Thank you.
>>>>
>>>> Fadzil
>>>>
>>>> _______________________________________________
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>>>> NumPy-Discussion at scipy.org
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>>>>
>>>>
>>>
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>>
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>
>
> --
>
> Christopher Barker, Ph.D.
> Oceanographer
>
> Emergency Response Division
> NOAA/NOS/OR&R (206) 526-6959 voice
> 7600 Sand Point Way NE (206) 526-6329 fax
> Seattle, WA 98115 (206) 526-6317 main reception
>
> Chris.Barker at noaa.gov
>
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