92 lines
2.9 KiB
Python
92 lines
2.9 KiB
Python
# /usr/bin/env python
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# -*- coding:Utf-8 -*-
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from random import randint, uniform, gauss, choice
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def random_generator(
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length,
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distrib=gauss,
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rd_args=(0, 1),
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nbr_format=lambda x: round(x, 2),
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v_min=None,
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v_max=None,
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exact_mean=None,
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):
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""" Generate a random list of value
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:param length: length of the dataset
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:param distrib: Distribution of the data set. It can be a function or string from ["randint", "uniform", "gauss", "choice"]
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:param rd_args: arguments to pass to distrib
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:param nbr_format: function which format value
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:param v_min: minimum accepted value
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:param v_max: maximum accepted value
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:param exact_mean: if set, the last generated number will be create in order that the computed mean is exacly equal to "exact_mean"
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>>> random_generator(10) # doctest: +SKIP
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[-0.76, 0.46, 0.19, 0.08, -1.13, -0.5, 0.47, -2.11, 0.16, -1.05]
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>>> random_generator(10, distrib = uniform, rd_args = (5, 10)) # doctest: +SKIP
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[9.01, 5.32, 5.59, 8.8, 7.36, 6.9, 6.05, 7.44, 9.47, 6.95]
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>>> random_generator(10, distrib = "uniform", rd_args = (5, 10)) # doctest: +SKIP
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[7.85, 9.01, 5.32, 5.59, 8.8, 7.36, 6.9, 6.05, 7.44, 9.47]
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>>> random_generator(10, v_min = 0) # doctest: +SKIP
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[0.46, 0.19, 0.08, 0.47, 0.16, 0.87, 0.17, 1.79, 0.19, 1.12]
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>>> random_generator(10, exact_mean = 0) # doctest: +SKIP
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[-0.76, 0.46, 0.19, 0.08, -1.13, -0.5, 0.47, -2.11, 0.16, 3.14]
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>>> random_generator(10, distrib = gauss, rd_args = (50,20), nbr_format = int) # doctest: +SKIP
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[34, 59, 53, 51, 27, 40, 59, 7, 53, 28]
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"""
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# if exact_mean is set, we create automaticaly only length-1 value
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if exact_mean is not None:
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length = length - 1
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# build function to test created values
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if v_min is None:
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v1 = lambda x: True
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else:
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v1 = lambda x: x >= v_min
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if v_max is None:
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v2 = lambda x: True
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else:
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v2 = lambda x: x <= v_max
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validate = lambda x: v1(x) and v2(x)
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# get distrib function
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distribs = {
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"gauss": gauss,
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"uniform": uniform,
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"randint": randint,
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"choice": choice,
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}
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try:
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distrib(*rd_args)
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except TypeError:
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distrib = distribs[distrib]
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# building values
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data = []
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for _ in range(length):
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valid = False
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while not valid:
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v = nbr_format(distrib(*rd_args))
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valid = validate(v)
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data.append(v)
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# Build last value
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if exact_mean is not None:
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last_v = nbr_format((length + 1) * exact_mean - sum(data))
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if not validate(last_v):
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raise ValueError(
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"Can't build the last value. Conflict between v_min/v_max and exact_mean"
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)
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data.append(last_v)
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return data
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# -----------------------------
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# Reglages pour 'vim'
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# vim:set autoindent expandtab tabstop=4 shiftwidth=4:
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# cursor: 16 del
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