petrinex 1.0.1

Load Alberta Petrinex data (Volumetrics, NGL) into Spark/pandas DataFrames

Petrinex Python API

Load Alberta Petrinex data (Volumetrics, NGL) into Spark/pandas DataFrames.

Note: Currently supports Alberta (AB) jurisdiction only.

Features

• ✅ Unity Catalog & Databricks Serverless compatible
• ✅ Memory efficient - handles 60+ files without OOM
• ✅ Zero config - automatic ZIP extraction, encoding, error handling
• ✅ Multiple data types - Volumetrics and NGL support

Quick Start

pip install petrinex

from petrinex import PetrinexClient

# Volumetrics (Alberta only)
client = PetrinexClient(spark=spark, jurisdiction="AB", data_type="Vol")
df = client.read_spark_df(updated_after="2025-12-01")

# NGL and Marketable Gas
ngl_client = PetrinexClient(spark=spark, jurisdiction="AB", data_type="NGL")
ngl_df = ngl_client.read_spark_df(updated_after="2025-12-01")

API

Load Data

# Spark DataFrame (recommended)
df = client.read_spark_df(updated_after="2025-12-01")

# pandas DataFrame
pdf = client.read_pandas_df(updated_after="2025-12-01")

Date Options:

• updated_after="2025-12-01" - Files modified after this date
• from_date="2021-01-01" - All data from production month onwards

Supported Data Types

Type	Description
Vol	Conventional Volumetrics
NGL	NGL and Marketable Gas Volumes

Databricks

# Install from GitHub
%pip install git+https://github.com/guanjieshen/petrinex-python-api.git

from petrinex import PetrinexClient

client = PetrinexClient(spark=spark, data_type="Vol")
df = client.read_spark_df(updated_after="2025-12-01")
display(df)

See databricks_example.ipynb for complete example.

Examples

Incremental Updates

last_update = spark.sql(
    "SELECT MAX(file_updated_ts) FROM main.petrinex.volumetrics"
).first()[0]

df = client.read_spark_df(updated_after=last_update.split()[0])

Historical Backfill

df = client.read_spark_df(from_date="2020-01-01")
df.write.format("delta").mode("overwrite").saveAsTable("main.petrinex.volumetrics")

Installation

# From PyPI
pip install petrinex

# From GitHub
pip install git+https://github.com/guanjieshen/petrinex-python-api.git

# Development
git clone https://github.com/guanjieshen/petrinex-python-api.git
cd petrinex-python-api
pip install -e ".[dev]"

Testing

pytest tests/ -v                    # Unit tests
pytest tests/ -v -m integration     # Include integration tests
pytest tests/ --cov=petrinex        # With coverage

Links

• 📦 PyPI
• 📓 Databricks Example
• 🧪 Tests
• 📋 Changelog
• 🤝 Contributing

License

MIT License - Copyright (c) 2026 Guanjie Shen

See LICENSE for full details.