Metadata-Version: 2.4
Name: lasmnemonicsid
Version: 0.0.1.dev4
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
```
from LASMnemonicsID.LAS import parseLAS

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

## 🧪 Test with your Data
```
from LASMnemonicsID.LAS import parseLAS

# Load and inspect
df = parseLAS("path/to/well.las")
print(f"✅ {len(df)} rows, {len(df.columns)} curves")
print(df.columns.tolist())
```
