xl0/lovely-numpy
NumPy arrays, ready for human consumption
Provides compact statistical summaries with ASCII histograms, value ranges, and special indicators for NaN/Inf anomalies—replacing verbose array dumps with actionable insights. Offers chainable visualization methods (`.rgb()` for image rendering, `.plt()` for histograms, `.deeper` for recursive inspection) integrated directly into the REPL workflow. Works with Jupyter notebooks and supports denormalization presets for computer vision (ImageNet standardization) alongside configurable precision and scientific notation modes.
Used by 3 other packages. Available on PyPI.
Stars
72
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Dependencies
3
Reverse dependents
3
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