[Solved] What will this code display?import matplotlib.pyplot as plt x = [0, 1, 2, 3] y = [1, 3, 2, 4] plt.plot(x, y) plt.fill_between(x, y, color='yellow', alpha=0.3) plt.... | Matplotlib

Matplotlib - Real-World Visualization Patterns

What will this code display?

import matplotlib.pyplot as plt
x = [0, 1, 2, 3]
y = [1, 3, 2, 4]
plt.plot(x, y)
plt.fill_between(x, y, color='yellow', alpha=0.3)
plt.annotate('Peak', xy=(3,4), xytext=(2,5), arrowprops=dict(arrowstyle='->'))
plt.show()

ARuntime error due to invalid arrowprops

BA line plot with a yellow shaded area under the curve and an arrow annotation labeled 'Peak'

CA line plot with shaded area but annotation text only, no arrow

DA line plot with no shading and no annotation

Step-by-Step Solution

Solution:

Step 1: Understand fill_between effect
fill_between shades the area under the curve with yellow color and 30% transparency.
Step 2: Analyze annotate parameters
The annotation 'Peak' is placed at (2,5) with an arrow pointing to (3,4) using arrowstyle '->', which is valid.
Final Answer:
A line plot with a yellow shaded area under the curve and an arrow annotation labeled 'Peak' -> Option B
Quick Check:
fill_between + annotate arrow = A line plot with a yellow shaded area under the curve and an arrow annotation labeled 'Peak' [OK]

Quick Trick: fill_between shades; annotate with arrowstyle draws arrows [OK]

Common Mistakes:

Expecting no shading without explicit show
Thinking arrowstyle '->' is invalid
Confusing annotation text position

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What will this code display?

Step 1: Understand fill_between effect

Step 2: Analyze annotate parameters

Final Answer:

Quick Check:

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