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Merge pull request #103 from echemdata/ml-evs/preparing-release

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Refresh README in preparation for release
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Chris Kerr
2024-03-02 15:46:55 +02:00
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@@ -7,21 +7,60 @@ SPDX-FileCopyrightText: 2013-2020 Christopher Kerr, Peter Attia
SPDX-License-Identifier: GPL-3.0-or-later SPDX-License-Identifier: GPL-3.0-or-later
--> -->
Read proprietary file formats from electrochemical test stations Read proprietary file formats from electrochemical test stations.
## Bio-Logic .mpr files ## # Usage
## Bio-Logic .mpr files
Use the `MPRfile` class from BioLogic.py (exported in the main package) Use the `MPRfile` class from BioLogic.py (exported in the main package)
```` ```python
from galvani import BioLogic from galvani import BioLogic
import pandas as pd import pandas as pd
mpr_file = BioLogic.MPRfile('test.mpr') mpr_file = BioLogic.MPRfile('test.mpr')
df = pd.DataFrame(mpr_file.data) df = pd.DataFrame(mpr_file.data)
```` ```
## Arbin .res files ## ## Arbin .res files
Use the res2sqlite.py script to convert the .res file to a sqlite3 database 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.
with the same schema. 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://github.com/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@github.com:echemdata/galvani
cd galvani
pip install -e .\[tests\]
```
Code can be contributed back via [GitHub pull requests](https://github.com/echemdata/galvani/pulls) and new features or bugs can be discussed in the [issue tracker](https://github.com/echemdata/galvani/issues).