tabs -> spaces

#!/usr/bin/env python3

# vim:tabstop=4:softtabstop=4:shiftwidth=4:textwidth=160:smarttab:expandtab

import getopt

import matplotlib.pyplot as plt

  --skip <count>

    Skip <count> data samples. This is useful to avoid startup code

    influencing the results of a long-running measurement

  --threshold <watts>|auto

    Partition data into points with mean power >= <watts> and points with

    mean power < <watts>, and print some statistics. higher power is handled

    as peaks, whereas low-power measurements constitute the baseline.

    If the threshold is set to "auto", the mean power of all measurements

    will be used

  --plot

    Show power/time plot

  --stat

        else:

            opt['skip'] = 0

		if 'threshold' in opt:

        if 'threshold' in opt and opt['threshold'] != 'auto':

            opt['threshold'] = float(opt['threshold'])

    except getopt.GetoptError as err:

    if 'threshold' in opt:

        power = data[:, 1] * data[:, 2]

        if opt['threshold'] == 'auto':

            opt['threshold'] = np.mean(power)

            print('Threshold set to {:.0f} µW'.format(opt['threshold'] * 1e6))

        if np.any(power < opt['threshold']):

            print('Baseline mean: {:.0f} µW'.format(

                np.mean(power[power < opt['threshold']]) * 1e6 ))

        if np.any(power >= opt['threshold']):

            print('Peak mean: {:.0f} µW'.format(

                np.mean(power[power >= opt['threshold']]) * 1e6))

        peaks = []

        peak_start = -1

        for i, dp in enumerate(power):