parq-blockmodel
Overview
A Python package for efficient storage, manipulation, and analysis of mining block models using Parquet files. parq-blockmodel provides tools for reading, writing, indexing, and transforming large-scale block model datasets, leveraging the performance of Apache Arrow and Parquet for scalable geoscience data workflows.
Installation
Install the base package from PyPI:
pip install parq-blockmodel
Install the optional schema validation support when you want to validate block model attributes with Pandera schemas or load schema definitions from YAML:
pip install "parq-blockmodel[schema]"
Install the visualization extras when you want to use the Trame viewer:
pip install "parq-blockmodel[viz]"
Schema validation
ParquetBlockModel accepts an optional schema= argument on its main
constructors. You can pass either a Pandera DataFrameSchema object or a path
to a YAML schema file, then validate the resulting model in chunks:
from pathlib import Path
from parq_blockmodel import ParquetBlockModel
pbm = ParquetBlockModel.from_parquet(
Path("path/to/blockmodel.parquet"),
schema=Path("schemas/blockmodel.schema.yaml"),
)
pbm.validate()
pbm.validate(sample_chunks=1) # quick spot-check for large models
See the User Guide for detailed documentation on calculated attributes, including custom lookups and functions.
Visualization
The block-model plotting path now delegates through parq_blockmodel.visualization, which keeps the
rendering logic isolated from ParquetBlockModel itself.
from parq_blockmodel import ParquetBlockModel
from parq_blockmodel.visualization import BlockModelTrameApp, TrameBlockModelPlotEngine
pbm = ParquetBlockModel.from_parquet("orebody.parquet")
plotter = pbm.plot(scalar="grade", z_up_lock=True, z_up_hotkey="z")
# Optional terrain context for the PyVista engine:
# - elevation_raster adds a DEM surface
# - imagery_raster textures the DEM when both rasters align
plotter = pbm.plot(
scalar="grade",
elevation_raster="dem.tif",
imagery_raster="imagery.tif",
)
trame_app_from_plot = pbm.plot(
scalar="grade",
engine=TrameBlockModelPlotEngine(),
z_up_lock=True,
z_up_hotkey="z",
)
app = BlockModelTrameApp(pbm, scalar="grade", z_up_lock=True, z_up_hotkey="z")
With z_up_lock=True, hold z for turntable-style orbit (yaw/pitch, no roll) with camera up aligned to +Z.
Geometry operations
parq-blockmodel supports three geometry flagging workflows:
- Polygon flagging for 2D XY regions.
- Surface encoding for 2.5D elevation surfaces (
z = f(x, y)). - Solid flagging for closed 3D volumes.
1 maintainer
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
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
File details
Details for the file parq_blockmodel-0.12.10.tar.gz.
File metadata
- Download URL: parq_blockmodel-0.12.10.tar.gz
- Upload date:
- Size: 233.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
58c78fb88189ad945cf6b96d9beb994d4d3eeaeafe6035c8844c8a5aceeea820
|
|
| MD5 |
d91f36a58e4031535cebc6ce5c51e3a2
|
|
| BLAKE2b-256 |
39f82d34af40abd982f979dd6d92e6a09e136d46e017b669404ab25b9312ae6d
|
File details
Details for the file parq_blockmodel-0.12.10-py3-none-any.whl.
File metadata
- Download URL: parq_blockmodel-0.12.10-py3-none-any.whl
- Upload date:
- Size: 147.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d75a06f54be21c0f428884e8cb68627eda5fca56c2dce3f066a19982a51f04a4
|
|
| MD5 |
1decf4b1bb33115a2ef5f327d5753028
|
|
| BLAKE2b-256 |
5b067a420aa3074c7983fce7ba70b784f0e916a5728d4279d8235501870e2954
|
