You want to create plots in a Jupyter notebook that update interactively without opening new windows. Which backend should you select and how?

hard📝 Application Q15 of 15

Matplotlib - Interactive Features

AUse 'TkAgg' backend by calling matplotlib.use('TkAgg') after importing pyplot

BUse 'Agg' backend and call plt.show() to open interactive windows

CUse 'Qt5Agg' backend by setting matplotlib.use('Qt5Agg') before importing pyplot

DUse 'inline' backend by running '%matplotlib inline' magic command in the notebook

Step-by-Step Solution

Solution:

Step 1: Understand Jupyter notebook backend needs
Jupyter notebooks use special magic commands to enable inline interactive plots.
Step 2: Identify correct backend and usage
'%matplotlib inline' enables plots inside the notebook without new windows.
Final Answer:
Use 'inline' backend by running '%matplotlib inline' magic command in the notebook -> Option D
Quick Check:
Jupyter inline plots = '%matplotlib inline' = C [OK]

Quick Trick: Use '%matplotlib inline' in Jupyter for interactive plots [OK]

Common Mistakes:

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