I'm searching for an alternative for a boxplot. Usually, I use seaborn. My data are multiple performance measurements of algorithms between 0 and 1, for multiple algorithms. The boxplot is not really capable of showing differences between algorithms, and the violin plot unintuitively shows a distribution below 0 and above 1. What alternatives are there? Write a notebook with simulated data (500 samples for 3 algorithms each), the box plot, a violin plot and potential other plots for visualizing this kind of data.
Python Tools
List of Python libraries we should use for answering this:
numpy
scipy
pandas
seaborn
git-bob ask claude-3-5-sonnet-20241022 to solve this
Question:
I'm searching for an alternative for a boxplot. Usually, I use seaborn. My data are multiple performance measurements of algorithms between 0 and 1, for multiple algorithms. The boxplot is not really capable of showing differences between algorithms, and the violin plot unintuitively shows a distribution below 0 and above 1. What alternatives are there? Write a notebook with simulated data (500 samples for 3 algorithms each), the box plot, a violin plot and potential other plots for visualizing this kind of data.
Python Tools
git-bob ask claude-3-5-sonnet-20241022 to solve this