<｜begin▁of▁sentence｜>### Instruction:
As a physician, you're accustomed to precision and clarity, much like the meticulous adjustments needed in medical procedures. Imagine you're performing a surgical procedure to reposition and resize a tissue graft. Initially, the graft occupies a specific area on the patient's body, say from coordinates (0.1, 0.1) with a width of 0.5 units and a height of 0.5 units. Now, due to medical reasons, you need to relocate and resize this graft. Your new plan involves shifting the graft to start at coordinates (0.2, 0.2) and reducing its dimensions to a width of 0.3 units and a height of 0.3 units. 

In this scenario, you need to ensure that the graft is accurately repositioned and resized to meet the patient's needs, just like how you would use precise measurements and adjustments in medical procedures to achieve optimal outcomes. To execute this plan, you'd rely on a method akin to "matplotlib's Rectangle" in Python, which enables you to precisely define and manipulate geometric shapes.
### Response:
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle

# Create a matplotlib figure and axis
fig, ax = plt.subplots()

# Create a rectangle patch
rect = Rectangle((0.1, 0.1), 0.5, 0.5, edgecolor='blue', facecolor='none')

# Add the rectangle to the plot
ax.add_patch(rect)

# Set the coordinates of the corners for the rectangle
rect.set_bounds(0.2, 0.2, 0.3, 0.3)

# Display the plot
plt.show()
<|EOT|>
