Comments (6)
Ha, of course they do! A >10 year migration period should have been plenty for even the most glacial company.
Whoever is still invested in 2.7 by 2020 had it coming for a loooong time and their users should switch to a competitor.
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Or perhaps AnnData doesn't support Python2, in which case setup.py should complain about my Python version, since after that I get another error:
import anndata
File "C:\Python27\lib\site-packages\anndata\__init__.py", line 1, in <module>
from .base import AnnData, _MAIN_NARRATIVE
File "C:\Python27\lib\site-packages\anndata\base.py", line 66
def __new__(cls, input_array: np.ndarray, parent: Any, attr: str):
^
SyntaxError: invalid syntax
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Yup, we only support somehow recent python versions!
FYI: 2.7 is really old, deprecated and its end-of-life is 2020-01-01! https://pythonclock.org
Many important projects will end support then or before then, so starting anything in Python 2 today is a bad idea: http://python3statement.org/
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Thanks for the fix @flying-sheep. I'm only using Python2 to run tests to make sure my code is backwards compatible, something I've committed to do until pandas drops support next January.
Thanks for the quick response!
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That’s very laudable! Sorry if I came over preachy, it’s just that I still meet some people who are surprised that Python 2.7 is about to die 😄
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Not a problem :) A lot of users (hopefully not devs) are still using Python 2.7 though - hopefully the great python gods have a plan of how to migrate everyone across.
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Related Issues (20)
- TypeError: Can't implicitly convert non-string objects to strings HOT 4
- Error concatenating scRNA with visium dataset
- memory usage of concat HOT 3
- Using `Pint` for units HOT 9
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- Error using sc.pl.stacked_violin HOT 1
- NotImplementedError with concat_on_disk
- Issue when setting anndata.X to numpy array HOT 3
- Does anndata.raw can be automatically modified after define it?
- Make the call to `_check_uniqueness()` optional in `_init_as_actual()` (and `__init__()`) HOT 1
- `concat_on_disk` outer join
- `concat_on_disk` merge strategies are untested/not implemented
- Potentially flaky benchmark HOT 2
- Reading Anndata from only parts of h5ad file: Hack solution HOT 8
- 2D indexing (no “:”) in `sparse_dataset` is not lazy HOT 7
- Set of categories changes when slicing AnnData, but not when slicing DataFrame HOT 1
- Gpu failing because of `cp.full` with `np.nan`
- Add path parameter to write_zarr method HOT 8
- GPU writing HOT 1
- GPU concatenation HOT 1
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