xarray.backends.NetCDF4DataStore¶
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class
xarray.backends.
NetCDF4DataStore
(manager, group=None, mode=None, lock=CombinedLock([<SerializableLock: 533d5c15-078c-41d0-a9eb-3168d9032b10>, <SerializableLock: 7f5afcff-be97-48d3-b165-925e7a1ddc9d>]), autoclose=False)¶ Store for reading and writing data via the Python-NetCDF4 library.
This store supports NetCDF3, NetCDF4 and OpenDAP datasets.
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__init__
(manager, group=None, mode=None, lock=CombinedLock([<SerializableLock: 533d5c15-078c-41d0-a9eb-3168d9032b10>, <SerializableLock: 7f5afcff-be97-48d3-b165-925e7a1ddc9d>]), autoclose=False)¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__
(manager[, group, mode, lock, autoclose])Initialize self.
close
(**kwargs)encode
(variables, attributes)Encode the variables and attributes in this store
encode one attribute
encode_variable
(variable)encode one variable
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
(variables, check_encoding_set, …)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
()Attributes
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