plateparser 0.1.0

Parse unstructured microplate data.

plateparser

Dealing with raw microplate data can be cumbersome because it is not structured to facilitate further analysis. plateparser allows users to parse raw microplate data into a structured format. This automation eliminates manual data entry, reducing human error and time spent on processing.

Features

1. Tidy Format Conversion: Converts raw plate data into a tidy format.
2. Plate Format Conversion: Converts raw plate data into a plate-like format, resembling its original structure.

Installation

   pip install plateparser

Usage

import pandas as pd
import plateparser

#Load your data
raw_microplate_data = pd.read_csv('../examples/byonoy_absolute_example.csv')
# Parse the plates
parsed_data = plateparser.tidyFormat(raw_microplate_data)
#Output: Parsed data in tidy format

Raw Microplate Data 😟 (left) to structured Data 😀 (right)

See the notebooks directory for more examples.

Limitations

• plateparser currently does not support multi-plate data

License

The plateparser package is open-source software licensed under the MIT License.

Acknowledgements

This project was inspired by platechain.
Thanks to the Sphinx Bio Team for letting us use their microplate data for testing.