How does the data handling in Seaborn differ from that in Matplotlib?
- Matplotlib supports larger datasets
- Seaborn can't handle missing values
- Seaborn integrates better with pandas DataFrames
- Seaborn requires arrays
Seaborn integrates better with pandas DataFrames. In Seaborn, we can directly use column names for the axes and other arguments, while Matplotlib primarily handles arrays.
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