FAQ: Learn Seaborn: Distributions - KDE Plots, Part II


This community-built FAQ covers the “KDE Plots, Part II” exercise from the lesson “Learn Seaborn: Distributions”.

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This exercise can be found in the following Codecademy content:

Data Science

Data Visualization in Python

FAQs on the exercise KDE Plots, Part II

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Most of the Seaborn lessons have deprecated code, making it impossible to progress through the lesson. The answer to the question, and even copy-pasting the Solution to run again, will result in an error.

/usr/local/lib/python3.5/dist-packages/scipy/stats/stats.py:1633: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use arr[tuple(seq)] instead of arr[seq] . In the future this will be interpreted as an array index, arr[np.array(seq)] , which will result either in an error or a different result. return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval {“passed”: true}


Confirmed. Seaborn is grounding in shallow water