This behavior happens because Matplotlib uses the same figure and axes by default unless you explicitly create a new figure or clear the current one.

Why does this happen?

• When you call plt.plot(), Matplotlib draws on the current active figure and axes.
• If you don't create a new figure or clear the current one, subsequent plt.plot() calls will add to the existing plot.
• This is why your second plot contains both the first and second lines.

How to Fix It

Option 1: Create a new figure for each plot

python
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import matplotlib.pyplot as plt

plt.figure()  # Create a new figure
plt.plot([0, 1])
plt.show()

plt.figure()  # Create another new figure
plt.plot([1, 0])
plt.show()

Option 2: Clear the current figure before plotting again

python
Copy
import matplotlib.pyplot as plt

plt.plot([0, 1])
plt.show()

plt.clf()  # Clear the current figure
plt.plot([1, 0])
plt.show()

Option 3: Use plt.close() to close the current figure

python
Copy
import matplotlib.pyplot as plt

plt.plot([0, 1])
plt.show()

plt.close()  # Close the current figure
plt.plot([1, 0])
plt.show()

Best Practice in Jupyter

• If you want each cell to produce a fresh plot, always start with plt.figure() or use %matplotlib inline and restart the kernel if needed.
• If you want to overlay plots intentionally, omit plt.figure() or plt.clf().

Would you like more details on managing figures in Matplotlib?