taco
Read and write TACO datasets in Python.
pip install taco-eo
python examples/minimal.py
import taco
samples = taco.read("dataset.zip")
parts = taco.read(["part-0.zip", "part-1.zip"])
Examples
Every example is self-contained, uses synthetic data, and writes its output in the current directory.
| Example | What it demonstrates |
|---|---|
minimal.py |
Smallest possible single-file dataset |
numpy_minimal.py |
NumPy image and mask assets with a train/test split |
change_detection.py |
Metadata on before/ and after/ folders |
sequence.py |
Variable-length asset sequences |
time_series.py |
Per-observation time and cloud metadata |
geospatial.py |
Compact STAC metadata and derived MajorTOM cells |
stac_segmentation.py |
STAC extensions for regular raster chips, labels, bands, and scaling |
oceantaco_istac.py |
OceanTACO-inspired ISTAC metadata for irregular SWOT swaths and Argo collocations |
partitioned.py |
ZIP partitions and their TACOCAT catalog |
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