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It would be convenient to only have to `using DataFrameMacros` instead of `using DataFrames, DataFrameMacros`. DataFramesMeta.jl uses Reexport.jl to achieve this.
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Polars dataframes are way faster, more memory efficient, and have a more ergonomic interface for transformations.
At some point, you may want to switch the backend to Polars. At least for now, I th…
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## 🚀 Feature
Permit arbitrary artifacts associated with a run to be tracked/saved, not just in S3 but locally as well.
### Motivation
Dataframes associated with a run cannot be saved afaik, …
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A puzzling panic for multicolumn joins in with lazy dataframes.
### Checks
- [X] I have checked that this issue has not already been reported.
- [X] I have confirmed this bug exists on the [la…
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## Proposal
When passing a `DataFrame` into a `DataSet` where the `DataFrame` forms a superset of the columns mandated in the `DataSet` it would be nice to be able to automatically drop the columns f…
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## About
When looking at Apache Spark from the perspective of a dataframe library, I guess [Use CrateDB with DataFrame libraries](https://cratedb.com/docs/crate/clients-tools/en/latest/connect/df.h…
amotl updated
1 month ago
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```
---------------------------------------------------------------------------
ProtocolError Traceback (most recent call last)
File [~/anaconda3/envs/phoenix-persist/li…
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spotted since ExplicitImports says `norm` is stale in DataFrames, when it is not: https://github.com/JuliaData/DataFrames.jl/blob/027650418ab08bbe6b94f2cf42743839aa7a593e/src/abstractdataframe/abstrac…
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**Describe the issue**:
`dask_ml.compose.ColumnTransformer` does not work with objects of types `dask_expr._collection.DataFrame` or `dask.dataframe.core.DataFrame`.
**Minimal Complete Veri…
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# Module: Fabric
## Lab/Demo: 08
### Task: https://microsoftlearning.github.io/mslearn-fabric/Instructions/Labs/08-data-science-get-started.html#prepare-the-data
#### Step: Prepare the data
https:…