Comments (4)
ajdavis
commented on May 30, 2024
Depend on #26, once we've proven we can convert to and from Pandas, we'll know we've made reasonable decisions.
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behackett
commented on May 30, 2024
@ajdavis it looks like #26 was fixed? Is there any more clarity on what should be done for this ticket?
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ajdavis
commented on May 30, 2024
Looks like using named dtypes is the correct direction: it's a natural way to represent BSON and it interops with Pandas, let's continue in this direction. I don't know if more work is required here.
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prashantmital
commented on May 30, 2024
Closing this as we have discontinued development of BSON-NumPy. PyMongoArrow is now the recommended way to materialize MongoDB query results as NumPy ndarrays as well as tabular formats like Pandas' DataFrames and PyArrow Tables.
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Related Issues (20)
- Define supported Python versions HOT 2
- Create and use a master branch HOT 1
- Clean up branches HOT 1
- Test in Evergreen HOT 3
- Add a THIRD-PARTY-NOTICES file
- Add standard MongoDB header to each source file
- Update setup.py metadata HOT 1
- Add pandas tutorial. HOT 1
- Provide a script to "clean" data HOT 1
- Add __version__
- Remove all Python 2 specific code HOT 1
- Speedup Travis builds using ccache HOT 1
- Memory leak HOT 2
- Pin pandas version and consider dropping Python 3.5 support HOT 4
- Seg faults for pulling flat arrays HOT 7
- Segfault when running benchmark HOT 4
- Use Python.h to make bson-config.h more portable
- ModuleNotFoundError: No module named 'bsonnumpy._cbsonnumpy' HOT 2
- Install fails with Python 3.6 because of Numpy 1.20 HOT 4
- dtype for a numpy array HOT 3
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