instantiating interp1d() is pathologically slow for me, why?

I've just posted this question in SO as well, happy with an answer either
place:

https://stackoverflow.com/q/49427533/3904031

The following takes over a minute for a few thousand points, whereas it
seems it should be taking milliseconds.

np.__version__    '1.13.0'
scipy.__version__ '0.17.0'


https://i.stack.imgur.com/3C69J.png

    import time
    import numpy as np
    import matplotlib.pyplot as plt
    from scipy.interpolate import interp1d

    times = []
    for n in np.logspace(1, 3.5, 6).astype(int):
        x = np.arange(n, dtype=float)
        y = np.vstack((np.cos(x), np.sin(x)))
        start = time.clock()
        bob = interp1d(x, y, kind='quadratic', assume_sorted=True)
        times.append((n, time.clock() - start))

    n, tim = zip(*times)

    plt.figure()
    plt.plot(n, tim)
    plt.xscale('log')
    plt.yscale('log')
    plt.show()

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