Comments (8)
What are we using pickles for?
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python data pickles. For example if we store python objects.
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Right yeah, but what is datreant using pickle for? git grep pickle
isn't showing me anything?
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datreant.data/src/datreant/data/pydata.py
Line 41 in 89f8937
Sure you are on the right repository?
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Ah right yeah, I was looking at core
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Oh well with string handling this is even more broken -.-. We have to check reading/writing with the bytes flags rb
/wb
to ensure data can be read/written independent of the python version.
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This is to say. I now also encountered that a python2 dump cannot be read by python 3
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https://bugs.python.org/issue6784
So they claim this is resolved. But I honestly haven't found a good solution today to enable reading / writing of pickles between python versions that works problem free. Some simple stiff and builtin types might work but not complex objects.
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Related Issues (19)
- In order for package to be importable, need to make datreant namespace package HOT 1
- Release 0.6.0 checklist
- Update docs HOT 1
- set compression for hdf5 data storage
- Allow globbing syntax for Data.remove(). HOT 1
- Add simple query for data elements in a Treant. HOT 1
- hide pytables naming NatrualNameWarnings HOT 3
- install instructions HOT 1
- Keep track of last modification time HOT 5
- Direct access to data file path HOT 3
- Storing numpy array with same key as existing pandas object puts both in same directory
- acces data member via `__getattr__`
- pydata
- pytable warns about possible performance issues with lots of columns for dataframes
- Problem when saving a dataframe that contains pyobjects HOT 1
- allow to store xarray objects HOT 2
- do a groupby/filter on data keys
- AttributeError: module 'pandas' has no attribute 'Panel4D'
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