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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_descriptives(data):
 """Get mean, SD, and mean and SD of log values. Parameters data : ndarray Data with segment as first dimension and all other dimensions raveled into second dimension. Returns ------- dict of ndarray each entry is a 1-D vector of descriptives over segment dimension """

    output = {}
    dat_log = log(abs(data))
    output['mean'] = nanmean(data, axis=0)
    output['sd'] = nanstd(data, axis=0)
    output['mean_log'] = nanmean(dat_log, axis=0)
    output['sd_log'] = nanstd(dat_log, axis=0)

    return output