Comments (3)
Hi @NickCrews ,
this is quite a bit task, specially considering that several methods native to both pandas and spark are used.
Moreover, this task involves reliance on a library that is less established compared to both pandas and PySpark. Historically, adopting less established third-party packages has presented difficulties in maintaining ydata-profiling alongside updates to Python versions.
We will keep this feature request open, considering it for potential future integration, should there be significant interest or demand from the community.
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Thanks @fabclmnt , those concerns really make sense from the maintainership points of view. I think this path forward makes sense. In that issue I linked, the ibis maintainers expressed some interest in helping sister projects be more compatible with ibis, so possibly you could offload some of this work to them if you ever wanted to move forward.
Just curious, what are the functionalities that use native pandas and pyspark APIs that ibis doesn't/can't handle? I may write my own simple version of this lib for ibis, and would love to avoid implementing 3/4 of it before I hit some insurmountable brick wall.
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@fabclmnt Completely agree with @NickCrews; those concerns make sense.
For Pandera, we've aligned on an approach of contributing an Ibis backend (to support a lot of the database backends Ibis natively supports) in addition to having the existing backends for pandas, Polars, Spark. Rather than a refactoring of existing code to support pandas and Spark in ydata-profiling, would you be open to the contribution of an Ibis backend in the core repo? We could do so in a fork initially.
Historically, adopting less established third-party packages has presented difficulties in maintaining ydata-profiling alongside updates to Python versions.
With respect to this, Ibis is quite relaxed around how it defines dependencies, and furthermore all of the backend dependencies (e.g. for profiling on Postgres) would be treated as extras (i.e. ydata-profiling[postgres]
could depend on ibis-framework[postgres]
). Not sure if that alleviates some of the concerns, but happy to hear what thought you have!
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Related Issues (20)
- pandas.Series.to_dict() got an unexpected keyword argument 'orient' HOT 2
- No module named 'ydata_profiling' HOT 2
- Bug Report - 'matplotlib.cbook' has no attribute 'mplDeprecation' IT has be renamed to UserWarning HOT 1
- no module named "pydantic.v1" HOT 1
- Bug Report
- Feature Request HOT 1
- Bugging creation of report
- Bug Report: Comparing reports from Spark HOT 1
- Upgrade Visions library
- 'NoneType' object has no attribute 'replace' HOT 4
- Crashes with memory leak, seems to be deadlock related HOT 1
- No module named 'scipy.stats._mvn' error when importing ProfileReport HOT 2
- Feature Request: use CJK (non-ascii) character
- Bug Report HOT 1
- Bug Report: ValueError: NaTType does not support strftime HOT 1
- Bug Report: DispatchError: Function <code object pandas_missing_bar HOT 2
- Bug Report: Confusing Error with Geometry Column HOT 1
- AttributeError: module 'numba' has no attribute 'generated_jit' HOT 5
- Categorical Variable showing as word cloud instead of bar
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