INNER CODE UNIT · Python

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mszell/geospatialdatascience · unit11_mobilityindividual/stats_utils.py:59

def pdf(binsize, input, out='no', normalize=True, include_zeros=False, vmin='NA', vmax='NA',start_from='NA', closing_bin=False):
    """
    Return the probability density function of "input"
    using linear bins of size "binsize"

    Input format: one column of numbers

    Example:
    ---------
      a, m = 0.5, 1.
      data = np.random.pareto(a, 1000) + m
      xy = pdf(10.0, data)
    """
    # Detect input type:
    if input == sys.stdin:
    # the data come form standard input
        d = [ list_check(map(float,l.split())) for l in sys.stdin ]
    #         d = [ float(l) for l in sys.stdin if l.strip() ]

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