Video Example: https://youtu.be/qTCuPCO7a90
NEW -> use pip install -r requirements.txt
This program takes a folder of raw .out xrd files and removes the header, generates a csv, and adds all xrd files to an xlsx worksheet
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
put all .out files in a folder to reference in the program
Programs and other things needed to run this program
Python 3.x
Pip
A step by step series of examples that tell you how to get a development env running
Manuel Method
pip install tkinter (not right name) coming soon
pip install pandas
pip install PySimpleGUI
pip install bokeh
pip install np
Automatic method
pip install -r requirements.txt
Coming soon(instead of cloning from github)...
pip install XRD-Converter
To ensure that all modules are loaded and everything is working. Launch the program, If it launches with no errors, it is working properly
Video Example: https://youtu.be/qTCuPCO7a90
The best way to install and run the program is to clone this repo to your home directory by typing git clone https://github.com/Jobenland/XRD-Convert. Once the directory has been cloned, change the directory cd XRD-Convert to the directory of the repository. Ensure you are in the directory by typing dir and checking the output for a file called XRDConvert.py. Type python --version or python3 -version and ensure the output version is at least 3.x.
to start the program, type python xrdconvert.py or python3 xrdconvert.py and hit enter. The program will greet the user with a UI asking for a folder containg the .out files. select this folder and hit ok. After this is done the program will load the files into memory and warn the user that the header is going to be removed. This action can NOT be undone and WILL edit the file. Backup your files before hitting ok on the prompts. At the end, The program will ask the user to type a name for the combined .xlsx file. Type the name and then let the program run to completion.
The best way to deploy this software for use in lab is to run locally either through command prompt or a Python Interpreter of your own
- Pandas - Used to edit and read CSV's
- PySimpleGUI - Used to create a GUI more efficiently
- TKinter - Used as backend GUI framework and support
- Bokeh - Used as plotting software for the plot function
- NP - Help with scientific calculations
If any Enhancements, Features or Problems arrise, Please submit a request on github
No versioning control has been set up yet but I am working on having this work in the Future
- Jonathan Obenland - Initial work - Jonathan Obenland
This project is licensed under the GPL License