xarray.backends.NetCDF4DataStore#
- class xarray.backends.NetCDF4DataStore(manager, group=None, mode=None, lock=CombinedLock([<SerializableLock: 6306808a-1a7e-4380-bbc9-f0ecb73367de>, <SerializableLock: 18d54142-60ac-47e4-979b-1923997c3c71>]), autoclose=False)[source]#
Store for reading and writing data via the Python-NetCDF4 library.
This store supports NetCDF3, NetCDF4 and OpenDAP datasets.
- __init__(manager, group=None, mode=None, lock=CombinedLock([<SerializableLock: 6306808a-1a7e-4380-bbc9-f0ecb73367de>, <SerializableLock: 18d54142-60ac-47e4-979b-1923997c3c71>]), autoclose=False)[source]#
Methods
__init__(manager[, group, mode, lock, autoclose])close(**kwargs)encode(variables, attributes)Encode the variables and attributes in this store
encode one attribute
encode_variable(variable[, name])encode one variable
get_child_store(group)Get a store corresponding to the indicated child group.
get_parent_dimensions()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()Write all buffered data to disk.
Attributes