def multivalue_divide(timeseries):

    # Get the last one day

    timeseries = [ item for item in timeseries if item[0]>(timeseries[-1][0]-86400) ]

    series = np.array([x[1] for x in timeseries])

    window = 3

    threshold = 0.5

    remainder = series.size % window

    if 0 != remainder:

        series = series[remainder:]

    series = series.reshape((series.size/window,window))

    sum_arr = np.sum(series,axis=1)

    # The test statistic is infinite when the median is zero,

    # so it becomes super sensitive. We play it safe and skip when this happens.

    if 0 == sum_arr[-2]:

        return False

    divide = np.true_divide(sum_arr[-1],sum_arr[-2])

    return True if np.abs(divide-1) > threshold else False

/data/skyline/src/analyzer/algorithms.py:320: RuntimeWarning: invalid value encountered in true_divide

  divide = np.true_divide(sum_arr[-1],sum_arr[-2])