It sure does work: from dataclasses import dataclass @dataclass class Test: _name: str=”schbell” @property def name(self) -> str: return self._name @name.setter def name(self, v: str) -> None: self._name = v t = Test() print(t.name) # schbell t.name = “flirp” print(t.name) # flirp print(t) # Test(_name=”flirp”) In fact, why should it not? In the end, what … Read more
Try using brew for example if already using Python 3: $ brew unlink python Then install python 3.6.5: $ brew install –ignore-dependencies https://raw.githubusercontent.com/Homebrew/homebrew-core/f2a764ef944b1080be64bd88dca9a1d80130c558/Formula/python.rb To get back to python 3.7.4_1 use: $ brew switch python 3.7.4_1 And if need 3.6 again switch with: $ brew switch python 3.6.5_1
All credit for this goes to user han_solo, who left the answer as a comment, instead of as an answer: Instead of pip install stdlib_list –user use python -m pip install stdlib_list –user Replace stdlib_list with matplotlib or whatever the name is of the package you want.
To judge from the file paths, it looks like you’re running Python 3.7. If so, you’re getting caught by new-in-3.7 behavior: PEP 479 is enabled for all code in Python 3.7, meaning that StopIteration exceptions raised directly or indirectly in coroutines and generators are transformed into RuntimeError exceptions. (Contributed by Yury Selivanov in bpo-32670.) Before … Read more
This can be installed via conda with the command conda install -c anaconda python=3.7 as per https://anaconda.org/anaconda/python. Though not all packages support 3.7 yet, running conda update –all may resolve some dependency failures.
No it won’t become redundant in Python 3.7 because OrderedDict is not just a dict that retains insertion order, it also offers an order dependent method, OrderedDict.move_to_end(), and supports reversed() iteration*. Moreover, equality comparisons with OrderedDict are order sensitive and this is still not the case for dict in Python 3.7, for example: >>> OrderedDict([(1,1), … Read more
It depends on your needs. Each of them has own benefits. Here is a good explanation of Dataclasses on PyCon 2018 Raymond Hettinger – Dataclasses: The code generator to end all code generators In Dataclass all implementation is written in Python, whereas in NamedTuple, all of these behaviors come for free because NamedTuple inherits from … Read more
I’m in Python 3.8.5. It sounds too simple to be real, but I had this same issue and all I did was reinstall numpy. Gone. pip install –upgrade numpy or pip uninstall numpy pip install numpy
The way dataclasses combines attributes prevents you from being able to use attributes with defaults in a base class and then use attributes without a default (positional attributes) in a subclass. That’s because the attributes are combined by starting from the bottom of the MRO, and building up an ordered list of the attributes in … Read more
Data classes are just regular classes that are geared towards storing state, rather than containing a lot of logic. Every time you create a class that mostly consists of attributes, you make a data class. What the dataclasses module does is to make it easier to create data classes. It takes care of a lot … Read more