kosiew opened a new pull request, #1086:
URL: https://github.com/apache/datafusion-python/pull/1086
## Which issue does this PR close?
Partial fix for #1078
## Rationale for this change
This PR adds configurable display settings for `DataFrame` representations
in the Python bindings of DataFusion. These changes improve flexibility and
control over how DataFrames are visualized, especially in interactive
environments like Jupyter notebooks. Users can now fine-tune memory usage, cell
truncation behavior, and row limits for both string and HTML representations.
## What changes are included in this PR?
- Introduced a new `DisplayConfig` Python class to encapsulate display
settings.
- Extended `PyDataFrame` to store and expose `DisplayConfig` via a new
`display_config` property.
- Added `configure_display()` and `reset_display_config()` methods to allow
users to modify or reset configuration.
- Updated DataFrame display logic (`__repr__` and `_repr_html_`) to respect
the active configuration.
- Modified Rust backend to pass `DisplayConfig` to relevant formatting
functions.
- Added extensive unit tests in `test_dataframe.py` to validate:
- Custom configuration values
- Invalid input handling
- Display behavior for large cells, large tables, and row limits
## Are there any user-facing changes?
Yes. This PR introduces:
- `df.display_config`: Property to access current display configuration.
- `df.configure_display(...)`: Method to customize display settings.
- `df.reset_display_config()`: Method to reset to default configuration.
- More intuitive and memory-conscious display formatting in notebook and
terminal environments.
> These changes enhance user control and improve display ergonomics for
large or complex DataFrames.
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