statsmodels.sandbox.stats.multicomp.maxzerodown

statsmodels.sandbox.stats.multicomp.maxzerodown(x)[source]

find all up zero crossings and return the index of the highest

Not used anymore

>>> np.random.seed(12345)
>>> x = np.random.randn(8)
>>> x
array([-0.20470766,  0.47894334, -0.51943872, -0.5557303 ,  1.96578057,
        1.39340583,  0.09290788,  0.28174615])
>>> maxzero(x)
(4, array([1, 4]))

no up-zero-crossing at end

>>> np.random.seed(0)
>>> x = np.random.randn(8)
>>> x
array([ 1.76405235,  0.40015721,  0.97873798,  2.2408932 ,  1.86755799,
       -0.97727788,  0.95008842, -0.15135721])
>>> maxzero(x)
(None, array([6]))

Last update: Oct 03, 2024