Visualization tool for correlation n-ptychs of linguistic attributes
Project description
CELAO
CELAO is a program for visualizing Correlation N-ptychs of Linguistic Attributes.
🔧 Installation
- Use the package manager pip to install CELAO.
pip install celao
- Create the folder called "data" in the root of your program.
mkdir data
- Place a dataset file inside the created folder
🚀 Usage
from celao import run_cela
if __name__ == "__main__":
run_cela()
Run your script, and CELAO will:
-
Automatically load the dataset from the data/ directory
-
Detect attribute relationships
-
Visualize the correlation n-ptychs
📂 Notes
- The dataset should be in a tabular format, such as .csv
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
celao-0.3.1.tar.gz
(8.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
celao-0.3.1-py3-none-any.whl
(8.4 kB
view details)
File details
Details for the file celao-0.3.1.tar.gz.
File metadata
- Download URL: celao-0.3.1.tar.gz
- Upload date:
- Size: 8.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
db09f379550a69c3df7fb646a5af3d6ed58e3c9971e0e1201e2fa810dd80f2e5
|
|
| MD5 |
8d822595d79757fb692456c1be3676aa
|
|
| BLAKE2b-256 |
f3dc92ee5037fda53a3a2c63eba1f35e3105dda6bd9d04f59f2a032e7cb5afa8
|
File details
Details for the file celao-0.3.1-py3-none-any.whl.
File metadata
- Download URL: celao-0.3.1-py3-none-any.whl
- Upload date:
- Size: 8.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
22223f211d16fead66f4be16e643fd5cd0934be72c5598772d8ccb48dba1df9a
|
|
| MD5 |
4eac3e547c8f8d73d21d58f62be4b2b5
|
|
| BLAKE2b-256 |
9e7fdce73b48a67a80327e22088cf8f2b9f0ef451d256b7031572792f41061bf
|