Comments (1)
cigrainger
commented on July 19, 2024
This is a very good point. That would be very helpful. I'm not sure at first glance what the best way of going at this is. My initial reaction would be either to pass the context down to Series.from_list/1 or to make Series.check_types/1 public and check the types in DataFrame.from_map/1. But the former seems like an unnecessary complication to the public API and the latter would require checking the types twice.
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Related Issues (20)
- Seeing `:nif_not_loaded` error for `Series.split/2` when mutating a dataframe HOT 1
- [Feature request] Add support for read_database in Polars backend. HOT 1
- Using `sort_by` with a grouped data frame doesn't respect `nils:` option HOT 1
- `{:datetime, :second}` dtype support HOT 2
- Add :streaming option to DataFrame.to_csv/3 HOT 1
- Exporting to CSV with a duration column returns an error
- Regression in `DataFrame.concat_rows/2` in v0.8.2 HOT 1
- Filter throwing undefined variable error HOT 1
- Error using is_finite and is_infinite within mutate HOT 1
- Explorer NIF broken on FreeBSD HOT 12
- Support Elixir built in Duration struct HOT 1
- Bug: Rounding Error in Tests HOT 1
- exposing the `fold` expressions from Polars HOT 7
- :nif_panicked "Chunk require all its arrays to have an equal number of rows" HOT 1
- Sorting an empty DataFrame results in a runtime Polars error HOT 1
- Performance of `DataFrame.new/2` on dataframes containing list columns HOT 7
- `Series.filter` should work inside `DataFrame.summarise` HOT 5
- Large memory usage when using `Explorer.Dataframe.concat_columns` on 30k (small) data frames. Memory leak? HOT 4
- [Not Issue] - Are the plans to use duckdb as an alternative backend? HOT 2
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