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TPS File Parser

This Python repository contains a parser for TPS files, allowing users to read and write TPS files, and convert the data into a pandas DataFrame for easy manipulation and analysis.

Features

Read TPS files and parse the data Convert TPS data to a pandas DataFrame Handle data chunks with unexpected sizes gracefully

Requirements

Python 3.6 or higher pandas

Installation

Clone the repository to your local machine:


git clone https://github.com/yourusername/tps-file-parser.git
cd tps-file-parser

(Optional) Create and activate a virtual environment:


python3 -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

Install the required packages:


pip install -r requirements.txt

Usage


from tps_parser import read_tps_file

Read TPS data from a file


filename = 'path/to/your/tps_file.tps'
data_frame = read_tps_file(filename)

Manipulate and analyze the data using pandas


print(data_frame.head())

Contributing

We welcome contributions to improve the TPS file parser. If you have suggestions or encounter any issues, please open an issue or submit a pull request.

License

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

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Read and write to .tps files

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