This program is designed to take information from users and analyze it. We created a program that extracts and analyzes data provided by customers to show and save information in graphs and csv file for easy understanding.
Python libraries used by the program include:
- etree.ElementTree : library for implementing simple and efficient APIs for parsing and creating XML data.
- matplotlib.pyplot : library for creating a graph using each function of pyplot module.
- lmfit : provides interface to nonlinear optimization and curve fitting problems for Python.
- glob2 : library for extracting multiple xml files as a list.
- numpy : the fundamental package for scientific computing in Python.
- sklearn : Python library that you can use to analyze machine learning on Python.
- dateutil : The dateutil uses different text formats as date syntax. It is a useful library when dealing with dates by changing them.
- pandas : library for primarily using dataframe, and finally to view csv file.
- os : allows you to control OS resources such as environmental variables, directories, files, and so on.
- time : Used to measure the total running time of a program.
- warnings : Use to hide warning messages that appear when using the polyfit() function.
if you want to install all package, enter
pip install -r requirement.txtin terminal.
- Put the xml file you want to analyze into the 'dat' folder.
- Enter the desired Lot, Wafer, Row, Column, Maskset, and Testsite on run.py and run it.
# example
'''원하는 lot을 입력하시오'''
lot_id = ['HY202103']
'''원하는 wafer를 입력하시오'''
wafer_id = ['D08']
'''원하는 (row,column)를 입력하시오'''
row_column_id = ['(0,0)']
'''원하는 Maskset을 입력하시오'''
maskset_id = ['LION1']
'''원하는 testsite를 입력하시오'''
testsite_id = ['LMZ']- Determine whether to save the graph.
- Determine whether to show the graph.
- src
- parse.py : From the xml file in Dat, it collects Voltage and Current and collects L, IL, DC Bias, Reference data in Wavelength Sweep.
- plot.py : It plots the I-V graph and I-L graph. From left to right, the first is the Transmission Spectra as measured (raw data), the second is the reference fitting data, the third is raw data - reference fitting data, and the fourth is the I-V fitting graph.
- IV.py : It is a code that fits the IV graph using lmfit and polyfit.
- IL.py : It fits the I-L graph and reference using polyfit and obtain the R-squared coefficient according to the fitting data.
- save_csv.py : It is a code that documents the analyzed data values as a csv file.
- savefig.py : It is a code that allows you to decide whether to save and output a graph.
- filename.py: It brings the name of the file to be analyzed and its root.
- final.py: It is a code that defines the functions to be retrieved and executed in the filename.py.
- gitignore : files that do not need to be managed were managed using the gitignore to exclude them from git.
- run.py : It is a code that loads Python files of scr folder into one file and executes the project.
If you run the 'run.py', the resulting folder 'res' is created.
- csv folder : csv file
if Rsq of Ref.spectrum <= 0.995, Error description is 'Ref.spec Error' and ErrorFlag is 1. - Lots folder : graph jpg file
- first graph, transmission spectrum raw graph
- second graph, reference fitting graph
- third graph, raw graph - reference fitting
- fourth graph, I-V raw graph and I-V fitting
if you have any questions, please contact at the following email.
- Email: A1@hanyang.ac.kr