Thank you very much Jason
With best regards
Sudheer
On Thursday, June 6, 2013, Jason Swails wrote:
>
>
>
> On Wed, Jun 5, 2013 at 9:07 PM, Sudheer Joseph
> <sjo.in...@gmail.com<javascript:_e({}, 'cvml', 'sjo.in...@gmail.com');>
> > wrote:
>
>> Dear Members,
>> Is there a way to get the time:origin attribute from a
>> netcdf file as string using the Python netcdf?
>>
>
> Attributes of the NetCDF file and attributes of each of the variables can
> be accessed via the dot-operator, as per standard Python.
>
> For instance, suppose that your NetCDF file has a Conventions attribute,
> you can access it via:
>
> ncfile.Conventions
>
> Suppose that your variable, time, has an attribute "origin", you can get
> it via:
>
> ncfile.variables['time'].origin
>
> Of course there's the question of what NetCDF bindings you're going to
> use. The options that I'm familiar with are the ScientificPython's
> NetCDFFile class (Scientific.IO.NetCDF.NetCDFFile), pynetcdf (which is just
> the ScientificPython's class in a standalone format), and the netCDF4
> package. Each option has a similar API with attributes accessed the same
> way.
>
> An example with netCDF4 (which is newer, has NetCDF 4 capabilities, and
> appears to be more supported):
>
> from netCDF4 import Dataset
>
> ncfile = Dataset('my_netcdf_file.nc', 'r')
>
> origin = ncfile.variables['time'].origin
>
> etc. etc.
>
> The variables and dimensions of a NetCDF file are stored in dictionaries,
> and the data from variables are accessible via slicing:
>
> time_data = ncfile.variables['time'][:]
>
> The slice returns a numpy ndarray.
>
> HTH,
> Jason
>
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