jenkspy
JSON →Jenkspy is a Python library providing a fast implementation of the Fisher-Jenks algorithm for computing 'natural breaks'. It's designed for 1-dimensional clustering on lists, tuples, arrays, or NumPy ndarrays of integers/floats to determine optimal class boundaries. Widely used in cartography and data analysis, the library is currently at version 0.4.1 and is actively maintained with recent updates.
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Resources
packagepypi.org/project/jenkspy/ ↗
API endpoints
full doc /v1/registry/jenkspy
install /v1/registry/jenkspy/install
compatibility /v1/registry/jenkspy/compatibility