Choose for advanced matplotlib subplot layouts and publication themes when statistical summary plotting is not the priority.
๐จ A succinct matplotlib wrapper for making beautiful, publication-quality graphics
- 1.1k
- Python
- MIT
statistical data visualization
High-level statistical data visualization library for Python, built on matplotlib and tightly integrated with pandas data structures.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose for advanced matplotlib subplot layouts and publication themes when statistical summary plotting is not the priority.
๐จ A succinct matplotlib wrapper for making beautiful, publication-quality graphics
These projects were analysed and named seaborn among their alternatives. The relationship is not symmetric โ how seaborn rates them is a separate judgement, made when seaborn is analysed in its own right.
calls seaborn โHigh-level statistical plotting API; choose it for quick statistical graphics over low-level Matplotlib.โ
An open access book on scientific visualization using python and matplotlib