INNER CODE UNIT · Python

data

mszell/geospatialdatascience · unit11_mobilityindividual/stats_utils.py:69

      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() ]
    elif isinstance(input, str):
        # the data come from a file
        d = [ list_check(map(float,l.split())) for l in open(input,'r') ]
    #         d = [ float(w) for w in open(input,'r') if w.split()]
    else:
        # the data are in a list
        try:
            iterator = iter(input)
            d = list(input)
        except TypeError:

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