galvani ======= Read proprietary file formats from electrochemical test stations. # Usage ## Bio-Logic .mpr files Use the `MPRfile` class from BioLogic.py (exported in the main package) ```python from galvani import BioLogic import pandas as pd mpr_file = BioLogic.MPRfile('test.mpr') df = pd.DataFrame(mpr_file.data) ``` ## Arbin .res files Use the `./galvani/res2sqlite.py` script to convert the .res file to a sqlite3 database with the same schema, which can then be interrogated with external tools or directly in Python. For example, to extract the data into a pandas DataFrame (will need to be installed separately): ```python import sqlite3 import pandas as pd from galvani.res2sqlite import convert_arbin_to_sqlite convert_arbin_to_sqlite("input.res", "output.sqlite") with sqlite3.connect("output.sqlite") as db: df = pd.read_sql(sql="select * from Channel_Normal_Table", con=db) ``` This functionality requires [MDBTools](https://github.com/mdbtools/mdbtools) to be installed on the local system. # Installation The latest galvani releases can be installed from [PyPI](https://pypi.org/project/galvani/) via ```shell pip install galvani ``` The latest development version can be installed with `pip` directly from GitHub: ```shell pip install git+https://codeberg.org/echemdata/galvani ``` ## Development installation and contributing If you wish to contribute to galvani, please clone the repository and install the testing dependencies: ```shell git clone git@codeberg.org:echemdata/galvani cd galvani pip install -e .\[tests\] ``` Code can be contributed back via [pull requests](https://codeberg.org/echemdata/galvani/pulls) and new features or bugs can be discussed in the [issue tracker](https://codeberg.org/echemdata/galvani/issues).