1. Question 1

Matplotlib was created by:

• ❌ Daniel Johnson

• ✅ John Hunter, an American neurobiologist

• ❌ James Gosling

• ❌ Cleve Moler

Explanation:
Matplotlib was developed by John D. Hunter.

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2. Question 2

Using inline backend, you cannot modify a figure after rendering.

• ❌ False

• ✅ True

Explanation:
%matplotlib inline renders static images — after rendering, they cannot be updated.

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3. Question 3

Which code starts Matplotlib magic functions?

• ❌ %matplotlib inline

• ❌ %matplotlib notebook

• ❌ $matplotlib outline

• ✅ %matplotlib

Explanation:
%matplotlib is the magic command; inline/notebook are its modes.

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4. Question 4

What does a line plot display?

• ❌ A plot that displays line fragments

• ❌ Used for pie charts

• ❌ Bar-style information

• ✅ Series of data points connected by straight lines

Explanation:
Line plots show trends across sequential data.

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5. Question 5

Matplotlib’s three main layers:

• ❌ Artist, Scripting, Histogram

• ❌ FigureCanvas, Renderer, Event

• ❌ Line2D, Rectangle, Circle

• ✅ Backend, Artist, Scripting

Explanation:
Matplotlib architecture = Scripting layer → Artist layer → Backend layer.

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6. Question 6

What is Jupyter Notebook?

• ✅ Open-source web app for live code, visualizations, text

• ❌ Conventional visualization tool

• ❌ Data visualization library

• ❌ Python backend library

Explanation:
Jupyter supports interactive coding + charts + markdown.

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7. Question 7

Matplotlib was initially developed as an EEG/ECoG tool.

• ✅ True

• ❌ False

Explanation:
John Hunter created it to visualize brain signals.

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8. Question 8

Backend layer’s three built-in interface classes (select three):

• ❌ Canvas

• ✅ Renderer

• ❌ Event

• ✅ FigureCanvas

• ❌ Canvas

• ❌ Event

• ❌ (only 3 choices allowed)

Correct three:

• FigureCanvas

• Renderer

• Event

Explanation:
These three form Matplotlib’s backend interfaces.

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9. Question 9

Line plots capture trends and fluctuations over time.

• ❌ False

• ✅ True

Explanation:
Line plots are ideal for identifying patterns.

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10. Question 10

Bar plots are ideal for comparing groups or categories.

• ❌ False

• ✅ True

Explanation:
Bar charts show comparative quantities clearly.

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🧾 SUMMARY TABLE

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