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.
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
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 :
- Clone the repository
- Enter into the directory at the root where the setup.py file is located
Now open a terminal and try theses command lines :
pip install PyStatsBatteries
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 :
pip install [name_of_package] --upgrade
There is an example notebook providing what the library is able to do. Check it directly on the Github page, or with Jupyter on your own session.
Run a test
from PyStatsBatteries.Descriptors import * import pandas as pd Data = pd.read_csv('path/to/your/dataframe.csv') d = Descriptors() d.Per_feature(Data, "Feature1")
- Marc DUQUESNOY , Research Engineer
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.
This project is licensed under the GNU Public License
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