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numpy.argmax

Python. Called in 3 tutorials; each line below leads to its place in the tutorial.

ToolPythonBeginner

Classification with scikit-learn: telling two populations apart

print("best on the test set: depth", depths[np.argmax(test_acc)])

ToolPythonIntermediate

Filtering with scipy.signal: mains hum and noise out of an ECG

return w[np.argmax(np.abs(h) ** 2 < 10 ** (-3 / 20))] # gain squared: applied twice
print(f"butter(4, 40 / fs) is -3 dB at {w[np.argmax(np.abs(h) < 10 ** (-3 / 20))]:.1f} Hz")

ToolPythonBeginner

Numerical integration with scipy.integrate: the area under a measured peak

peak, fwhm = lam[np.argmax(net)], np.ptp(lam[net >= net.max() / 2])