fix auto report

scorecardpipeline/__init__.py

@@ -20,7 +20,7 @@
 from .rule_extraction import DecisionTreeRuleExtractor
 
 
-__version__ = "0.1.32"
+__version__ = "0.1.33"
 __all__ = (
     "__version__"
     , "FeatureSelection", "FeatureImportanceSelector", "StepwiseSelection", "Combiner", "WOETransformer"

scorecardpipeline/auto_report.py

@@ -131,6 +131,8 @@ def auto_data_testing_report(data, features=None, target="target", date=None, da
     if not isinstance(excel_writer, ExcelWriter) and not isinstance(sheet, Worksheet):
         writer.save(excel_writer)
 
+    return end_row, end_col
+
 
 if __name__ == '__main__':
     target = "creditability"

setup.py

@@ -2,7 +2,6 @@
 import re
 from setuptools import setup, find_packages, Extension
 
-
 NAME = 'scorecardpipeline'
 
 
@@ -11,39 +10,39 @@ def get_version():
         return re.search(r'__version__ = "(.*?)"', f.read()).group(1)
 
 
-def get_requirements(stage = None):
+def get_requirements(stage=None):
     file_name = 'requirements'
 
     if stage is not None:
         file_name = f"{file_name}-{stage}"
-    
+
     requirements = []
     with open(f"{file_name}.txt", 'r') as f:
         for line in f:
             line = line.strip()
             if not line or line.startswith('-'):
                 continue
-            
+
             requirements.append(line)
-    
+
     return requirements
 
 
 setup(
-    name = NAME,
-    version = get_version(),
-    description = '评分卡pipeline建模包，封装toad、scorecardpy、optbinning等评分卡建模相关组件，API风格与sklearn高度一致，自持自定义模型报告输出',
-    long_description = open('README.md', encoding = 'utf-8').read(),
-    long_description_content_type = 'text/markdown',
-    url = 'https://github.com/itlubber/scorecardpipeline',
-    author = 'itlubber',
-    author_email = '[email protected]',
-    packages = find_packages(),
-    include_package_data = True,
-    python_requires = '>=3.6',
-    install_requires = get_requirements(),
-    license = 'MIT',
-    classifiers = [
+    name=NAME,
+    version=get_version(),
+    description='评分卡pipeline建模包，封装toad、scorecardpy、optbinning等评分卡建模相关组件，API风格与sklearn高度一致，自持自定义模型报告输出',
+    long_description=open('README.md', encoding='utf-8').read(),
+    long_description_content_type='text/markdown',
+    url='https://github.com/itlubber/scorecardpipeline',
+    author='itlubber',
+    author_email='[email protected]',
+    packages=find_packages(),
+    include_package_data=True,
+    python_requires='>=3.6',
+    install_requires=get_requirements(),
+    license='MIT',
+    classifiers=[
         'Operating System :: POSIX',
         'Operating System :: Microsoft :: Windows',
         'Operating System :: MacOS :: MacOS X',
@@ -55,4 +54,4 @@ def get_requirements(stage = None):
         'Programming Language :: Python :: 3.11',
         'Programming Language :: Python :: 3.12',
     ],
-)
+)