Higher-level API #17
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Higher-level API #17
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Add `BIDSTable` subclass of `DataFrame` with convenience methods for accessing subtables and flattened metadata.
Add `BIDSTable.filter()` which filters rows according to a condition applied to a single column. The supported conditions follow `pandas.Series.filter()`.
Also change `file` column group to `finfo` to try to limit possible confusion.
Bug fixes: - Set the index of `flat_metadata` to the parent table's index. - Treat NA in the row mask as False in `filter()`.
PyBIDS supports querying a layout with multiple filters specified as keyword arguments. This is a nice interface, and is also useful for programmatic filtering. Here we add a `filter_multi()` method to do something similar.
Codecov ReportPatch coverage:
Additional details and impacted files@@ Coverage Diff @@
## main #17 +/- ##
==========================================
+ Coverage 91.89% 93.03% +1.13%
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Files 10 10
Lines 432 560 +128
==========================================
+ Hits 397 521 +124
- Misses 35 39 +4
☔ View full report in Codecov by Sentry. |
Add a `func` arg option to `filter` for arbitrary lambda function filtering. Also move `join_bids_path()` into the `table` module.
Having the argument be `output` in `bids2table` was confusing when you only want to load a table.
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Add a higher level
BIDSTableinterface inspired by the proposed PyBIDS API redesign.