Analyzes CSV files for stress and strain
Project description
Python Package to extract information about the Stress, Strain and Young Modulus from a set of .TRA
files
Set up Instructions
Run the following command in the conda/miniconda terminal to install the package:
pip install ciatta
Import the package in your Jupyter project or Python script:
import ciatta
Available commands:
Analyze a whole directory
ex.analyzeDirectory(folder_path, cut_off = True, sample_thickness = 10)
plots all the .csv
files in the given directory.
returns a pandas DataFrame containing
Arguments:
folder_path
can be left empty to analyze the current working directory (e.g.ciatta.analyzeDirectory()
)folder_path
can be a relative path to a folder within the current working directory (e.g.ciatta.analyzeDirectory('data')
)folder_path
can be the absolute path (e.g.ciatta.analyzeDirectory('C:\Users\Desktop\data')
)
Mathematical Formulas
Young Modulus
= slope of the best line fit for the curve
Intercept
= the incercet of the previous fit
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file ciatta-1.1.4.tar.gz
.
File metadata
- Download URL: ciatta-1.1.4.tar.gz
- Upload date:
- Size: 4.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.10.13 Windows/10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ab9913eba64728af1b9e3ab3f55dd81316f2bc0a4e23594609b49e2242e77210 |
|
MD5 | 0a2b59b89fd6d1fd2bbfb7c26ed4d397 |
|
BLAKE2b-256 | 9bcdecfe7d9a2119de2614f745b2f0a1af158fc2d6c27f4773f3a33827d265f0 |
File details
Details for the file ciatta-1.1.4-py3-none-any.whl
.
File metadata
- Download URL: ciatta-1.1.4-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.10.13 Windows/10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3c30a8cec27b1e77031cb35ce4a7ccbcdae41fbe20fdf9e2a30262763e397331 |
|
MD5 | 398d7cd525d9f9dc55213efdd5444a0c |
|
BLAKE2b-256 | 56e484898185d091b42f7be6ab3e283b95a7ace5e72efa90713e2a5c68de0cc1 |