xarray.backends.H5NetCDFStore

class xarray.backends.H5NetCDFStore(filename, mode='r', format=None, group=None, writer=None, autoclose=False, lock=<thread.lock object>)

Store for reading and writing data via h5netcdf

__init__(filename, mode='r', format=None, group=None, writer=None, autoclose=False, lock=<thread.lock object>)

x.__init__(…) initializes x; see help(type(x)) for signature

Methods

__init__(filename[, mode, format, group, …])	x.__init__(…) initializes x; see help(type(x)) for signature
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(**kwds)	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()
iteritems()
iterkeys()
itervalues()
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