GaussParse 1.1.0

GaussParse is a python package to parse Gaussian output files.

GaussParse

GaussParse is a versatile Python package designed for parsing output files generated by Gaussian software, a widely used computational chemistry tool. This package enables users to efficiently extract essential information and perform various analytical tasks directly from Gaussian output files. Whether you need to visualize energy profiles, analyze IRC (Intrinsic Reaction Coordinate) curves, retrieve summary results, or extract molecular orientations, GaussParse provides a streamlined interface to accomplish these tasks with ease.

Key Features:

• Energy Profile Plotting: Visualize and analyze energy profiles directly from Gaussian output files.

• IRC Curve Plotting: Generate plots of IRC curves to study reaction pathways.

• Summary Results Extraction: Extract and summarize key computational results from Gaussian calculations.

• Molecular Orientation Analysis: Retrieve detailed information about molecular orientations and configurations.

• Publication-Ready Data: Extract molecular orientation data into a Word file formatted for publication as supplementary information.

• GaussParse simplifies the process of post-processing Gaussian output, making it an invaluable tool for computational chemists and researchers working in molecular dynamics, quantum chemistry, and related fields.

Installation

Install this project

  pip install GaussParse

Documentation

Import GaussParse

import GaussParse as gp

Available methods

# collect all files



# excel file

xls_file = r'...\\TS2-data.xlsx'

gp.collect_files_from(xls_file, sheet_name="Sheet1")

List all the Gaussian log files in an excel file,

All the Gaussian log files are saved in a folder:

# Save result summary to Excel



# file

gaussian_log = r"...\1,2LO.txt"

# save in excel

gp.result_summary_to_excel(gaussian_log)

Results summary as:

The data are saved in an excel file:

# Save input orientation to txt



# folder

gaussian_log = r"...\\acetone-limonene-mechanism-1"

# save in txt

gp.input_orientation_to_txt(gaussian_log)



# Transform input orientation to xyz



# file

gaussian_log = r"...\g09_exp.log"

# save in txt

gp.txt_orientation_to_xyz(gaussian_log)

Gaussian log files (saved in a folder)

The molecular orientation are saved in a text file (Notepad),

# Save IRC profile



# file path

plt_data = "...\\g09_exp.log"

# save IRC profile

gp.plot_irc_profile(plt_data)

IRC profile:

# Save energy profile



# file path

plt_data = '...\\energy.xlsx'



# plot energy profile and save it

gp.plot_energy_profile(plt_data)

Load data in an excel file:

Energy profile:

License

MIT

FAQ

For any question, contact me on LinkedIn

Authors

• @sinagilassi