xarray.backends.NetCDF4DataStore¶
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class
xarray.backends.
NetCDF4DataStore
(netcdf4_dataset, mode='r', writer=None, opener=None, autoclose=False, lock=<SerializableLock: 5959fc9c-5ded-4738-abec-f369d771387d>)¶ Store for reading and writing data via the Python-NetCDF4 library.
This store supports NetCDF3, NetCDF4 and OpenDAP datasets.
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__init__
(netcdf4_dataset, mode='r', writer=None, opener=None, autoclose=False, lock=<SerializableLock: 5959fc9c-5ded-4738-abec-f369d771387d>)¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__
(netcdf4_dataset[, mode, writer, …])Initialize self. assert_open
()close
()encode
(variables, attributes)Encode the variables and attributes in this store encode_attribute
(a)encode one attribute encode_variable
(variable)encode one variable ensure_open
([autoclose])Helper function to make sure datasets are closed and opened at appropriate times to avoid too many open file errors. get
(k[,d])get_attrs
()get_dimensions
()get_encoding
()get_variables
()items
()keys
()load
()This loads the variables and attributes simultaneously. open
(filename[, mode, format, group, …])open_store_variable
(name, var)prepare_variable
(name, variable[, …])set_attribute
(key, value)set_attributes
(attributes)This provides a centralized method to set the dataset attributes on the data store. set_dimension
(name, length[, is_unlimited])set_dimensions
(variables[, unlimited_dims])This provides a centralized method to set the dimensions on the data store. set_variable
(k, v)set_variables
(*args, **kwargs)This provides a centralized method to set the variables on the data store. store
(variables, attributes[, …])Top level method for putting data on this store, this method: store_dataset
(dataset)in stores, variables are all variables AND coordinates in xarray.Dataset variables are variables NOT coordinates, so here we pass the whole dataset in instead of doing dataset.variables sync
([compute])values
()Attributes
attrs
dimensions
ds
variables
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