0.6.1: coercion and required column bugfixes

Bugfix Release

This release contains two bugfixes:

• coerce nullable str column handles all na (#366)
• non-required columns that are not in dataframe are not coerced (#368)

0.6.0: Data Synthesis Strategies, Schema Enhancements

🎉🎉🎉 Thanks to @jeffzi, @ktroutman, @m1so for your contributions! 🎉🎉🎉

Enhancements

• Improve memory efficiency of validation process (#360)
• Add column order validation (#352)
• Implement data synthesis strategies using hypothesis (#344)
• Add support for aliases in SchemaModel (#329)
• Add support for optional name validation of single-index (#326)
• Move columns to multiindex: add reset_index, set_index method to DataFrameSchema (#319)
• Add support for Python 3.9 (#307)

Bugfixes

• typing.DataFrame should expect annotation input (#318)

Deprecations

• SchemaErrors.schema_errors has been changed to failure_cases, and the schema_errors attribute now contains a list of dicts containing schema errors and reason codes. This is a breaking change, but is a minor part of the API and is fairly straightforward to fix (#360).

Documentation Improvements

• Add required columns documentation for schema models (#362)
• Fix docs: schema examples (#347)
• Add documentation for dataframeschema transformations (#333)
• Fix deprecated SchemaErrorReport references in docs (#310)
• Fix SchemaModel dtype example (#309)

Repo Improvements

• Update logo 69c6e56
• Add flynt to pre-commit hooks (#325)
• Use generic zenodo link for citation information c4f4fe7

0.5.1: bugfix - add packaging dependency

pandera relied on the packaging package to get version information to determine pandas legacy status. This was an implicit sub-dependency of one of pandera's dependencies, which was apparently dropped and led to a bug: #335. This bugfix version explicitly adds packaging.

0.5.0: Class-based API for DataFrame Typing

Enhancements

• Implement class-based API for pydantic-style schema definitions 786b504. Big thanks to @jeffzi 🎉
• Add inplace=False argument to schema.validate method to prevent mutation of original dataframe 586ebf3.
• Make pandera optional extensions [hypothesis], [io], [all] available c4716a0. Thanks @amitripshtos and @jeffzi 🎉
• Add support for complex number data types 50e86e4 thanks @ferhah 🎉
• Add support for numpy scalar types a519db5
• Add check_io decorator for check inputs and outputs of a function 913cbd7
• Throw SchemaError with column name instead of ValueError for nulls in int series f7b03e3 thanks @TheCleric 🎉

Bugfixes

• Bugfix io.to_script and to_yaml: Ignoring serializing Checks with lambda functions da9c3a5 thanks @ferhah 🎉

Deprecations

• Drop support for Python 3.5 91e21a2
• Deprecate transformers argument in DataFrameSchema init 89c3c91

Documentation Improvements

• Fix incorrect docstring 47bc7b8, thanks @areeh 🎉

Repo Improvements

• Update contributing guide 3c4589d
• Add funding page be23c4e

0.4.5: additional type support, SeriesSchema index support, built-in check Aliases, bugfixes

Enhancements

• improve failure case reporting more intuitive #232
• rename internal decorator for setting check statistics #235 thanks @Aditya1001001
• from_yaml supports all column properties #240 thanks @d33bs
• support for nullable integer string aliases and dtypes #244
• add check_output to the CheckResult namedtuple #251
• built-in python scalar types are supported: int, float, str, bool #263
• Use Check.name in Check.repr #265 thanks @JacobHayes
• add comparison operator aliases to built-in checks #269
• add support for SeriesSchema index specification #270

Bugfixes

• io serialization can handle Index.name = None #248
• pandas_dtype can be correctly set in Column object #256
• fix check_input decorator when df passed in kwargs #257 thanks @vshulyak

Documentation Improvements

• Fixed broken link to pandas dtypes #264 thanks @ericmjl

0.4.4: bugfixes in yaml serialization, error reporting, refactor internals

New Features

• DataFrameSchema provides rename_columns method #226 @baskervilski
• Failure case reporting is more intuitive as a tidy dataframe #232

Bugfixes

• yaml schema files support null index #225 @baskervilski
• add details to error reporting in type coercion #193 @c3-Anthony-Truchet
• fix column coerce warning in check_input/output decorators #228
• renamed internal decorator for check statistics #233 @Aditya1001001

0.4.3: bugfixes handle scalar False check_fn, yaml schema supports strict kwarg

Bugfixes

• lazy validation handles check returning scalar False value 3bf8e72,
• add strict keyword to yaml 3bd2655 - first contribution by @staylorx 🎉🎉🎉

bugfix: conda build failure, use version.py file

package uses version.py file for single source of truth of package version.

add check ignore_na arg, bugfixes

New Feature

• ignore_na keyword argument to Check class 180072e
  drops null columns within the check function before passing to check_fn. The
  SeriesSchemaBase.validate method no longer does this.

Bugfixes

• one sample hypothesis tests in the context of Column shouldn't need samples arg
  0b0d6cc
• add lazy kwarg to check_input and check_output 923a197
• fix lazy validation with nullable columns f5051fa

Schema inference, serialization, and lazy validation

Schema Inference, Serialization, and Lazy Validation

New Features

• schema inference #202 #209
• schema yaml and script serialization #203
• lazy validation on schema validation #207

Minor Improvements

• updated documentation
• define _CheckBase class #195
• simplify type-matching logic #194