Metadata-Version: 2.1
Name: PyStatsBatteries
Version: 0.0.3
Summary: This library provides several tools for your Python dataframes, such as graphics, Machine Learning alogrithms, and data analysis tools. All these functions will be applied to electrochemical Lithium-ion batteries.
Home-page: https://github.com/MarcDuquesnoy/PyStatsBatteries
Author: Marc Duquesnoy
Author-email: marc.duquesnoy@u-picardie.fr
License: GNU Public License
Description: PyStatsBatteries
        ========================================================
        
        PyStatsBatteries is a Python library for dealing with statistical and graphic tools for your
        dataframes.
        
        This library provides several tools directly loaded into your virtual environment, and 
        also example notebook on using this tools.
        It is maintained by a team of researchers at 'Laboratoire de Réactivité et Chimies 
        du Solide', (Amiens, FRANCE), as part of ARTISTIC project.
        
        Please, do not hesitate to discover the team of researchers behind the librairy and also the ARTISTIC project
        also involved : [ARTISTIC](https://www.u-picardie.fr/erc-artistic/?L=0)
        
        
        Setup
        ========================================================
        We ask you to get a virtual environment such as **conda**. Go to their webpage and download
        it. All dependencies will be installed on your environment.
        
        Note that you need to follow the way below to install PyStatsBatteries :
        
        1. Clone the repository
        2. Enter into the directory at the root where the **setup.py** file is located
        
        Now open a terminal and try theses command lines :
        ```python
        pip install PyStatsBatteries
        ```
        or 
        ```python
        python setup.py install
        ```
        
        For installation and usage, it works with python3.x and upper versions with dependencies.
        Make sure all libraris required are installed with the right version.
        In the case python modules error occur, please upgrade the packages indicated by :
        ```python
        pip install [name_of_package] --upgrade
        ```
        
        Example
        ========================================================
        
        
        There is an example notebook providing what the library is able to do. Check it 
        directly on the Github page, or with [Jupyter](https://jupyter.org/install) on your own session.
        
        ##### Run a test
        
        ```python
        from PyStatsBatteries.Descriptors import *
        import pandas as pd
        
        Data = pd.read_csv('path/to/your/dataframe.csv')
        
        d = Descriptors()
        d.Per_feature(Data, "Feature1")
        ```
        
         Authors
         ========================================================
          - **Marc DUQUESNOY** , Research Engineer
          
         Contributing 
        ========================================================
        
        Pull requests are not allowed. For more informations about the library, please
         contact the authors.
         Do not hesitate to ask them if inappropriate bugs occur.
         
         
         License
        ========================================================
        
        This project is licensed under the [GNU Public License](https://www.gnu.org/licenses/gpl-3.0.en.html)
        
        Contributors
        ========================================================
        @MarcDuquesnoy, 
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Development Status :: 1 - Planning
Classifier: License :: OSI Approved
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Communications
Description-Content-Type: text/markdown
