mesa2-preprocessing 0.2.1

A tool for pre-processing MESA2.0 measurement data

MESA2.0 Preprocessing Tool

This package provides a set of tools designed for pre-processing MESA2.0 measurement data. It includes functionality to read, merge, and process measurement data efficiently.

Features

• Read data from .dat and associated binary files.
• Merge data from different sources like TDMS and DAT files.
• Export processed data to various formats such as CSV and Parquet.
• Handle metadata and unit conversions.

Installation

Install mesa2_preprocessing using pip:

pip install mesa2_preprocessing

Usage

Here is a simple example of how to use the package:

from mesa2_preprocessing import dat_to_df, create_merged_tdms

# Convert a DAT file to a DataFrame
df = dat_to_df('path_to_your_dat_file.dat')

# Create a merged TDMS file from DAT and TDMS sources
create_merged_tdms('path_to_your_tdms_file.tdms', 'path_to_your_dat_file.dat', 'output_directory')

Dependencies

• Python >= 3.8
• pandas
• pyarrow
• fastparquet
• numpy
• nptdms

License

This project is licensed under the MIT License - see the LICENSE file for details.