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64 rename na limit (#73)
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* wip: pandas 2, pydantic 2 compatibility

* fixed: tests with migration to pydantic v2

* fixed: generate_v2  write files

* fixed: removed py3.7 from matrix, added py3.10, py3.11

* fixed: removed py3.7 from matrix, added py3.10, py3.11

* fixed: python 3.10 issue

* fixed: formatted with black

* adding tomli

* fixed: added tomli as dev dependency

* fixed: added tomli as dev dependency

* fixed: added tomli as dev dependency

* fixed: added tomli as dev dependency

* fixed: added tomli as dev dependency

* fixed: issue#64 - correct na_pct_velow

* fixed: na_below_limit

* feat: updated changelog

* feat: updated changelog
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Casyfill authored Aug 13, 2024
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Fixed:
- using `na_pct_below`
- `from_df` now includes metadata
- `from_df` now generates correct `na_pct_below` (0.01) for full datasets [#63](https://github.com/StreetEasy/dfs/issues/63)

Changed:
- bumped minimum python version to 3.8
- Support for Python 3.11 [#54](https://github.com/StreetEasy/dfs/issues/54)
- Pydantic migrated to v2
- Allows use of Pandas v2


### v0.0.11:
- Version in metadata
- adds `dfschema` and `pandas` version in metadata upon generation (Later will worn if Schema is initialized from json, generated by later version)
- Renamed `na_limit` to `na_pct_below` to make it unambiguous (with backward support)
- Renamed `na_limit` to `na_pct_below` to make it unambiguous (with backward support) [#64](https://github.com/StreetEasy/dfs/issues/64)
- Added `optional=True` flag for columns. If true, does not raise exception if column is not present
- added `dfschema update {existing_schema} {output_schema}` command to upgrade schemas

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