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Releases: unionai-oss/pandera

bugfix: preserve index values when formatting failure cases

11 Nov 21:03
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bugfix: named index can format failure cases on error

11 Nov 19:00
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v0.2.6

bump to v0.2.6: named index bugfix

Add license file to pypi distribution

11 Nov 02:26
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v0.2.5

add license to pypi distribution

bugfix: category dtype coercion, add dtype tests

09 Nov 23:54
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bugfix on the Category datatype and string coercion logic, add more unit tests on dtypes

bugfix: coerce and nullable logic, modularize unit test suite

04 Oct 01:53
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  • improvements in documentation, more comprehensive typing

Improved documentation

29 Sep 22:53
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This release adds docstring examples for all public-facing modules.

bugfix: render API in sphinx documentation

11 Sep 02:19
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v0.2.1

bump to v0.2.1: bugfix on sphinx docs

Drop python 2.7 support, minor enhancements

11 Sep 01:50
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Release Notes

  • this release drops support for python 2.7: 4d38a4d
  • add explanatory error message to check_input decorator: c1a3616
  • add test code snippets to sphinx documentation: ca5b39d
  • add type hinting: f67050d
  • modularize pandera code: ffd57d8
  • more builtin data type support: b01eef0
  • add citation information: 6061254
  • update repo links : cosmicBboy -> pandera-dev: e6782f1
  • add dev installation instructions: f7950ad
  • improve formatting and wording of sphinx documentation: 7310d0d
  • make SchemaError message formatting functions private: fc071d6
  • add docstrings to error classes: ed4e8f8
  • add human-readable str and repr methods to DataFrameSchema: 954d8a2
  • update requirements.txt, remove enum34: db87b21

0.2.0 pre-release 1

03 Sep 22:40
ffd57d8
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0.2.0-rc1

feature/modularize-pandera: split functionality into logically groupe…

MultiIndex checks, head/tail/sample validation, DataFrame-checks

14 Aug 01:07
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Release Notes

  • Added support for MultiIndex column and and index validation
  • DataFrameSchema can validate head, tail, or a random sample of dataframe
  • Checks and Hypothesis checks now support dataframe-level (wide) data validation