Relevance of typename in namedtuple

namedtuple() is a factory function for tuple subclasses. Here, ‘whatsmypurpose’is the type name. When you create a named tuple, a class with this name (whatsmypurpose) gets created internally. You can notice this by using the verbose argument like: Point=namedtuple(‘whatsmypurpose’,[‘x’,’y’], verbose=True) Also you can try type(p) to verify this.

What are the main differences of NamedTuple and TypedDict in Python / mypy

Python and its community are wrestling with the “struct” problem: how to best group related values into composite data objects that allow logical/easy accessing of components (typically by name). There are many competing approaches: collections.namedtuple instances dictionaries (with a fixed/known set of keys) attribute-accessible dictionaries (like stuf) the attrs library PEP 557 dataclasses plain old …

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How to cast tuple into namedtuple?

You can use the *args call syntax: named_pi = Record(*tuple_pi) This passes in each element of the tuple_pi sequence as a separate argument. You can also use the namedtuple._make() class method to turn any sequence into an instance: named_pi = Record._make(tuple_pi) Demo: >>> from collections import namedtuple >>> Record = namedtuple(“Record”, [“ID”, “Value”, “Name”]) >>> …

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Why does Python not support record type? (i.e. mutable namedtuple)

Python <3.3 You mean something like this? class Record(object): __slots__= “attribute1”, “attribute2”, “attribute3”, def items(self): “dict style items” return [ (field_name, getattr(self, field_name)) for field_name in self.__slots__] def __iter__(self): “iterate over fields tuple/list style” for field_name in self.__slots__: yield getattr(self, field_name) def __getitem__(self, index): “tuple/list style getitem” return getattr(self, self.__slots__[index]) >>> r= Record() >>> r.attribute1= …

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