@@ -619,6 +619,81 @@ (define-public python-pandas-stubs
of suggesting best recommended practices for using @code{python-pandas}.")
(license license:bsd-3)))
+(define-public python-pandera
+ (package
+ (name "python-pandera")
+ (version "0.17.2")
+ (source
+ (origin
+ ;; No tests in the PyPI tarball.
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/unionai-oss/pandera")
+ (commit (string-append "v" version))))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32 "1mnqk583z90k1n0z3lfa4rd0ng40v7hqfk7phz5gjmxlzfjbxa1x"))
+ (modules '((guix build utils)))
+ ;; These tests require PySpark. We need to remove the entire directory,
+ ;; since the conftest.py in this directory contains a PySpark import.
+ ;; (See: https://github.com/pytest-dev/pytest/issues/7452)
+ (snippet '(delete-file-recursively "tests/pyspark"))))
+ (build-system pyproject-build-system)
+ (arguments
+ (list
+ #:test-flags '(list "-k"
+ (string-append
+ ;; Needs python-pandas >= 1.5
+ "not test_python_std_list_dict_generics"
+ " and not test_python_std_list_dict_empty_and_none"
+ " and not test_pandas_modules_importable"))))
+ ;; Pandera comes with a lot of extras. We test as many as possible, but do
+ ;; not include all of them in the propagated-inputs. Currently, we have to
+ ;; skip the pyspark and io tests due to missing packages python-pyspark
+ ;; and python-frictionless.
+ (propagated-inputs (list python-hypothesis ;strategies extra
+ python-multimethod
+ python-numpy
+ python-packaging
+ python-pandas
+ python-pandas-stubs ;mypy extra
+ python-pydantic
+ python-scipy ;hypotheses extra
+ python-typeguard-4
+ python-typing-inspect
+ python-wrapt))
+ (native-inputs (list python-dask ;dask extra
+ python-fastapi ;fastapi extra
+ python-geopandas ;geopandas extra
+ python-modin ;modin extra
+ python-pyarrow ;needed to run fastapi tests
+ python-pytest
+ python-pytest-asyncio
+ python-sphinx
+ python-uvicorn)) ;needed to run fastapi tests
+ (home-page "https://github.com/unionai-oss/pandera")
+ (synopsis "Perform data validation on dataframe-like objects")
+ (description
+ "@code{python-pandera} provides a flexible and expressive API for
+performing data validation on dataframe-like objects to make data processing
+pipelines more readable and robust. Dataframes contain information that
+@code{python-pandera} explicitly validates at runtime. This is useful in
+production-critical data pipelines or reproducible research settings. With
+@code{python-pandera}, you can:
+
+@itemize
+@item Define a schema once and use it to validate different dataframe types.
+@item Check the types and properties of columns.
+@item Perform more complex statistical validation like hypothesis testing.
+@item Seamlessly integrate with existing data pipelines via function decorators.
+@item Define dataframe models with the class-based API with pydantic-style syntax.
+@item Synthesize data from schema objects for property-based testing.
+@item Lazily validate dataframes so that all validation rules are executed.
+@item Integrate with a rich ecosystem of tools like @code{python-pydantic},
+@code{python-fastapi} and @code{python-mypy}.
+@end itemize")
+ (license license:expat)))
+
(define-public python-pythran
(package
(name "python-pythran")