Merge pull request #10 from elisemercury/fix-version-bug

Fix version bug

AutoClean/__init__.py

@@ -1,2 +1 @@
-from AutoClean.version import __version__
 from AutoClean.autoclean import AutoClean

AutoClean/autoclean.py

@@ -1,3 +1,5 @@
+# AutoClean 2022
+# For detailed documentation and usage guide, please visit the official GitHub Repo.
 # https://github.com/elisemercury/AutoClean
 
 import os
@@ -6,7 +8,6 @@
 import pandas as pd
 from loguru import logger
 from AutoClean.modules import *
-from AutoClean.version import __version__
 
 class AutoClean:
 
@@ -88,26 +89,6 @@ def __init__(self, input_data, mode='auto', duplicates=False, missing_num=False,
         if logfile:
             print('Logfile saved to:', os.path.join(os.getcwd(), 'autoclean.log'))
 
-    def help():
-        # function that outputs some basic usage information 
-        help_msg = f"""
-        **** Welcome to AutoClean! {__version__} ****
-
-        Run AutoClean by selecting your input data (Pandas dataframe) and setting the 'mode' parameter to:
-
-        \t* 'auto' (default) or
-        \t* 'manual'
-
-        If set to 'auto', AutoClean will start the automated cleaning process. 
-        If set to 'manual', you can customize your AutoClean pipeline by defining some of the optional parameters:
-
-        \tduplicates, missing_num, missing_categ, outliers, encode_categ, extract_datetime
-
-        📋 For detailed documentation and usage guide, please visit the official GitHub Repo: https://github.com/elisemercury/AutoClean
-        """     
-        print(help_msg)
-        return
-
     def _initialize_logger(self, verbose, logfile):
         # function for initializing the logging process
         logger.remove()
@@ -124,7 +105,6 @@ def _validate_params(self, df, verbose, logfile):
         if type(df) != pd.core.frame.DataFrame:
             raise ValueError('Invalid value for "df" parameter.')
         if self.mode not in ['manual', 'auto']:
-            AutoClean.help()
             raise ValueError('Invalid value for "mode" parameter.')
         if self.duplicates not in [False, 'auto']:
             raise ValueError('Invalid value for "duplicates" parameter.')

AutoClean/modules.py

@@ -1,3 +1,7 @@
+# AutoClean 2022
+# For detailed documentation and usage guide, please visit the official GitHub Repo.
+# https://github.com/elisemercury/AutoClean
+
 from timeit import default_timer as timer
 import numpy as np
 import pandas as pd

MANIFEST.in

@@ -1,2 +1 @@
-include autoclean/modules.py
-include autoclean/version.py
+include autoclean/modules.py

setup.py

@@ -6,20 +6,18 @@
 with open(os.path.join(base_dir, "README.md")) as f:
     long_description = f.read()
 
-exec(open('autoclean/version.py').read())
-
 setup(
   name = 'py-AutoClean',         
   packages = ['AutoClean'],   
-  version =  __version__,      
+  version =  'v1.1.3',      
   license='MIT',        
   description = 'AutoClean - Python Package for Automated Preprocessing & Cleaning of Datasets', 
   long_description=long_description,
   long_description_content_type='text/markdown',
   author = 'Elise Landman',                  
   author_email = '[email protected]', 
   url = 'https://github.com/elisemercury/AutoClean', 
-  download_url = 'https://github.com/elisemercury/AutoClean/archive/refs/tags/' + __version__ + '.tar.gz',    # change everytime for each new release
+  download_url = 'https://github.com/elisemercury/AutoClean/archive/refs/tags/v1.1.3.tar.gz',
   keywords = ['automated', 'cleaning', 'preprocessing', "autoclean"],  
   install_requires=[          
           'scikit-learn',
@@ -28,12 +26,12 @@
           'loguru'
       ],
   classifiers=[
-    'Development Status :: 5 - Production/Stable',      # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
+    'Development Status :: 5 - Production/Stable',   
     'Intended Audience :: Developers',      
     'Topic :: Software Development :: Build Tools',
     'License :: OSI Approved :: MIT License',    
     'Programming Language :: Python :: 3.7',
-    'Programming Language :: Python :: 3.8', #Specify which pyhton versions to support
+    'Programming Language :: Python :: 3.8',
     'Programming Language :: Python :: 3.9',
   ],
 )