def findfreqs(num, den, N):
    ep = atleast_1d(roots(den)) + 0j
    tz = atleast_1d(roots(num)) + 0j

    if len(ep) == 0:
        ep = atleast_1d(-1000) + 0j

    ez = r_['-1',
            numpy.compress(ep.imag >= 0, ep, axis=-1),
            numpy.compress((abs(tz) < 1e5) & (tz.imag >= 0), tz, axis=-1)]

    integ = abs(ez) < 1e-10
    hfreq = numpy.around(numpy.log10(numpy.max(3 * abs(ez.real + integ) +
                                               1.5 * ez.imag)) + 0.5)
    lfreq = numpy.around(numpy.log10(0.1 * numpy.min(abs(real(ez + integ)) +
                                                     2 * ez.imag)) - 0.5)

    w = logspace(lfreq, hfreq, N)
    return w
Setter for :attr:`t_start`
dataset/ETHPy150Open scipy/scipy/scipy/signal/filter_design.py/findfreqs--crossover with--dataset/ETHPy150Open NeuralEnsemble/python-neo/neo/core/analogsignal.py/BaseAnalogSignal.t_start