xarray.backends.H5NetCDFStore

class xarray.backends.H5NetCDFStore(filename, mode='r', format=None, group=None, writer=None, autoclose=False, lock=<SerializableLock: 525da718-63e3-460e-84bd-4cae6d9103d8>)

Store for reading and writing data via h5netcdf

__init__(filename, mode='r', format=None, group=None, writer=None, autoclose=False, lock=<SerializableLock: 525da718-63e3-460e-84bd-4cae6d9103d8>)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(filename[, mode, format, group, …]) 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_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: - encodes variables/attributes - sets dimensions - sets variables
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