On Wed, Jun 5, 2013 at 9:07 PM, Sudheer Joseph <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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