[Solved] What output does this code produce?import matplotlib.pyplot as plt fig, axs = plt.subplots(2) axs[0].plot([1, 2], [3, 4]) axs[1].bar([1, 2], [5, 6]) plt.show() | Matplotlib

Matplotlib - Real-World Visualization Patterns

What output does this code produce?

import matplotlib.pyplot as plt
fig, axs = plt.subplots(2)
axs[0].plot([1, 2], [3, 4])
axs[1].bar([1, 2], [5, 6])
plt.show()

AA single plot with both line and bar charts overlapped

BTwo plots stacked vertically: a line plot on top and a bar chart below

CAn error because plt.subplots needs 2 arguments

DTwo plots side by side horizontally

Step-by-Step Solution

Solution:

Step 1: Understand plt.subplots(2)
This creates 2 subplots stacked vertically by default.
Step 2: Analyze plotting commands
axs[0] gets a line plot, axs[1] gets a bar chart.
Final Answer:
Two plots stacked vertically: a line plot on top and a bar chart below -> Option B
Quick Check:
plt.subplots(2) stacks plots vertically [OK]

Quick Trick: plt.subplots(n) stacks n plots vertically by default [OK]

Common Mistakes:

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What output does this code produce?