larray.Metadata¶
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class
larray.
Metadata
[source]¶ An ordered dictionary allowing key-values accessibly using attribute notation (AttributeDict.attribute) instead of key notation (Dict[“key”]).
Examples
>>> from larray import ndtest >>> from datetime import datetime
Add metadata at array initialization
>>> # Python 2 or <= 3.5 >>> arr = ndtest((3, 3), meta=[('title', 'the title'), ('author', 'John Smith')]) >>> # Python 3.6+ >>> arr = ndtest((3, 3), meta=Metadata(title='the title', author='John Smith')) # doctest: +SKIP
Add metadata after array initialization
>>> arr.meta.creation_date = datetime(2017, 2, 10)
Access to metadata
>>> arr.meta.creation_date datetime.datetime(2017, 2, 10, 0, 0)
Modify metadata
>>> arr.meta.creation_date = datetime(2017, 2, 16)
Delete metadata
>>> del arr.meta.creation_date
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__init__
(self, /, *args, **kwargs)¶ Initialize self. See help(type(self)) for accurate signature.
Methods
clear
()copy
()from_array
(array)from_hdf
(hdfstore[, key])fromkeys
(iterable[, value])Create a new ordered dictionary with keys from iterable and values set to value. get
(self, key[, default])Return the value for key if key is in the dictionary, else default. items
()keys
()move_to_end
(self, /, key[, last])Move an existing element to the end (or beginning if last is false). pop
()value. popitem
(self, /[, last])Remove and return a (key, value) pair from the dictionary. setdefault
(self, /, key[, default])Insert key with a value of default if key is not in the dictionary. to_hdf
(self, hdfstore[, key])update
()If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k] values
()-