<｜begin▁of▁sentence｜>### Instruction:
As a virus researcher focusing on the biology, transmission, and evolution of viruses, you often encounter scenarios where precise adjustments are crucial. Imagine you're studying a virus that primarily affects a certain population. You've developed a model to represent the spread of this virus within a community, visualized as a rectangle initially positioned at the center of a map. The width of the rectangle represents the initial containment measures, while the height symbolizes the severity of the outbreak.

Now, you've gathered new data suggesting that the virus has mutated, leading to higher transmission rates and necessitating a more extensive response. To reflect this, you need to adjust the height of the rectangle to represent the increased severity of the outbreak without altering its position. Your goal is to maintain the top edge of the rectangle at its current location on the map while increasing its height from 4 units to 10 units.

To accomplish this task, you would utilize the `matplotlib` library, specifically its `patches` module, to programmatically adjust the dimensions of the rectangle while keeping its top edge fixed in place.
### Response:
from matplotlib.patches import Rectangle

# Create a rectangle with specified width and height
rect = Rectangle((0, 0), width=3, height=4)

# Change the height of the rectangle
current_bottom = rect.get_y()
rect.set_height(10)

# Adjust the bottom edge of the rectangle so the top edge remains stationary
rect.set_y(current_bottom)

# Assuming we have a matplotlib Axes `ax`, add the rectangle to it
ax.add_patch(rect)
ax.set_xlim(-2, 5)
ax.set_ylim(-2, 12)
plt.show()
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