def test_pint_plot():
    """Test that pint Quantity objects work in matplotlib plots."""
    try:
        import pint
        import matplotlib.pyplot as plt
    except ImportError:
        print("⊘ pint plot test skipped (pint not installed)")
        return

    ureg = pint.UnitRegistry()
    ureg.setup_matplotlib()

    # Check if pint has a registered converter
    from matplotlib import units as munits
    pint_quantity_type = type(1.0 * ureg.meter)
    has_converter = pint_quantity_type in munits.registry

    print(f"  → Pint has registered converter: {has_converter}")

    # Try plotting with pint quantities
    x = np.array([0, 1, 2, 3, 4]) * ureg.second
    y = np.array([0, 1, 4, 9, 16]) * ureg.meter
    y2 = np.array([0, 10, 40, 90, 160]) * ureg.centimeter

    try:
        fig, ax = plt.subplots()
        ax.plot(x, y, 'o-')
        ax.plot(x, y2, 's-')
        ax.set_xlabel('Time')
        ax.set_ylabel('Distance')
        ax.set_title('Plot with Pint Quantities')
        fig.savefig('test_pint_plot.png')
        print("✓ pint plot test passed (saved to test_pint_plot.png)")
    except Exception as e:
        print(f"✗ pint plot test failed: {e}")

Users/jklymak/matplotlib/lib/matplotlib/cbook.py:2451: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.
  xtmp = np.asarray(x)
/Users/jklymak/matplotlib/lib/matplotlib/cbook.py:1373: UnitStrippedWarning: The unit of the quantity is stripped when downcasting to ndarray.

   x_data = np.array([0, 1, 2, 3, 4])
    y_data = np.array([0, 1, 4, 9, 16])

    x = pd.Series(x_data)
    y = pd.Series(y_data)

    try:
        fig, ax = plt.subplots()
        ax.plot(x, y, 'o-')
        ax.set_xlabel('X (Series)')