Metadata-Version: 2.4
Name: lasmnemonicsid
Version: 0.0.3rc0
Summary: Well log mnemonic identification using lasio and dlisio to load LAS/DLIS files into DataFrames
Author-email: Nobleza Energy <info@nobleza-energy.com>
License: MIT
Project-URL: Homepage, https://nobleza-energy.github.io/LASMnemonicsID
Project-URL: Repository, https://github.com/Nobleza-Energy/LASMnemonicsID
Project-URL: Documentation, https://nobleza-energy.github.io/LASMnemonicsID/
Project-URL: Bug Tracker, https://github.com/Nobleza-Energy/LASMnemonicsID/issues
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.21.0
Requires-Dist: pandas>=2.0.1
Requires-Dist: lasio>=0.30
Requires-Dist: dlisio>=1.0.0
Provides-Extra: docs
Requires-Dist: mkdocs>=1.5.0; extra == "docs"
Requires-Dist: mkdocs-material>=9.0.0; extra == "docs"
Requires-Dist: mkdocstrings[python]>=0.24.0; extra == "docs"
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: black>=23.0.0; extra == "dev"
Requires-Dist: isort>=5.12.0; extra == "dev"
Requires-Dist: flake8>=6.0.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0.0; extra == "dev"
Dynamic: license-file

<p align="center">
  <img src="https://raw.githubusercontent.com/Nobleza-Energy/LASMnemonicsID/main/logo.png" alt="LASMnemonicsID Logo" width="200"/>
</p>

<h1 align="center">LASMnemonicsID</h1>

<p align="center">
  <b>Well log mnemonic identification using lasio and dlisio</b>
</p>

<p align="center">
  <a href="https://pypi.org/project/lasmnemonicsid/"><img src="https://img.shields.io/pypi/v/lasmnemonicsid.svg" alt="PyPI"></a>
  <a href="https://pypi.org/project/lasmnemonicsid/"><img src="https://img.shields.io/pypi/pyversions/lasmnemonicsid.svg" alt="Python Versions"></a>
  <a href="https://github.com/Nobleza-Energy/LASMnemonicsID/blob/main/LICENSE"><img src="https://img.shields.io/github/license/Nobleza-Energy/LASMnemonicsID.svg" alt="License"></a>
</p>

---

## 📦 Installation

```bash
pip install lasmnemonicsid
```

## 🚀 QuickStart

```python
from LASMnemonicsID.LAS import parseLAS

# Load LAS file
df = parseLAS("your_well.las")
print(df.head())
```

## 🧪 Test with your Data: Multiple files will load into a dictionary 

```python
from LASMnemonicsID.LAS import parseLAS

# Load all .las within the Directory → {filename: df}
data = parseLAS("/path/to/your/data/")
print("Files:", list(data.keys()))

# Dataframes
df = parseLAS('/path/to/yourfile.las')
print(df.head())
```

## 📈 Star History

[![Star History Chart](https://api.star-history.com/svg?repos=Nobleza-Energy/LASMnemonicsID&type=Date)](https://star-history.com/#Nobleza-Energy/LASMnemonicsID&Date)


## 📄 How to Cite

If you use `LASMnemonicsID` in your research or project, please cite it as follows:

**APA**

> Nobleza Energy. (2025). LASMnemonicsID: Well log mnemonic identification using lasio and dlisio [Software]. GitHub. https://github.com/Nobleza-Energy/LASMnemonicsID

**BibTeX**

```bibtex
@software{LASMnemonicsID,
  author = {Nobleza Energy},
  title = {LASMnemonicsID: Well log mnemonic identification using lasio and dlisio},
  year = {2025},
  publisher = {GitHub},
  journal = {GitHub repository},
  url = {https://github.com/Nobleza-Energy/LASMnemonicsID}
}
