Matplotlib - Seaborn Integration
You want to create a figure with two different plots side by side: a histogram and a scatterplot. Which approach correctly uses Seaborn's figure-level and axes-level functions together?
You want to create a figure with two different plots side by side: a histogram and a scatterplot. Which approach correctly uses Seaborn's figure-level and axes-level functions together?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Understand figure-level vs axes-level functions
relplotis figure-level and creates its own figure;histplotandscatterplotare axes-level and can plot on existing axes.Step 2: Plan side-by-side plots
Creating subplots withplt.subplots()and plotting axes-level functions on each axes allows side-by-side plots in one figure.Step 3: Evaluate options
Usesns.histplot()on one axes andsns.scatterplot()on another axes created byplt.subplots(). correctly uses axes-level functions on subplots. Options A, B, and D misuse figure-level functions or ax= parameter.Final Answer:
Use sns.histplot() on one axes and sns.scatterplot() on another axes created by plt.subplots(). -> Option AQuick Check:
Axes-level functions + subplots = combined figure [OK]
Quick Trick: Use axes-level functions with plt.subplots() for combined plots [OK]
Common Mistakes:
- Trying to use relplot with ax= parameter
- Using multiple figure-level functions expecting one figure
- Mixing figure-level and axes-level functions on same axes
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