framework
framework copied to clipboard
Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data
Hello! Please if you can point me to where i can contribute and fix this, I would gladly contribute ## Summary When using `describe` Im getting `{'name': 'test_array', 'type': 'string'}`...
# Overview https://citation-file-format.github.io/cff-initializer-javascript/#/ It will fix the authors list on Zenodo - https://zenodo.org/records/13853405 Example - https://github.com/frictionlessdata/frictionless-r/blob/main/CITATION.cff
# Overview When the field contain integer and float, frictionless describe this filed as a number type. It works well when the data file is small. But we have some...
# Overview Validating with `--schema-sync` option breaks the stats, especially the number of fields in the case of missing required columns. # Reproduce ```sh frictionless validate \ https://gitlab.com/validata-table/validata-table/uploads/f0091cba92766b0015fb0015e8c594fc/prenoms-des-enfants-nes-a-angers_angersloiremetropole.csv \ --schema...
# Overview Statistics present in a task report are to my knowledge undocumented (`# TODO: add docs`). However, there are non-trivial stats in there : for instance, `report.task.stats.rows` is not...