mirror of https://github.com/mahmoud/boltons.git
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
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from boltons.statsutils import Stats
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def test_stats_basic():
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da = Stats(range(20))
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assert da.mean == 9.5
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assert round(da.std_dev, 2) == 5.77
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assert da.variance == 33.25
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assert da.skewness == 0
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assert round(da.kurtosis, 1) == 1.9
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assert da.median == 9.5
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def _test_pearson():
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import random
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from statsutils import pearson_type
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def get_pt(dist):
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vals = [dist() for x in range(10000)]
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pt = pearson_type(vals)
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return pt
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for x in range(3):
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# pt = get_pt(dist=lambda: random.normalvariate(15, 5)) # expect 0, normal
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# pt = get_pt(dist=lambda: random.weibullvariate(2, 3)) # gets 1, beta, weibull not specifically supported
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# pt = get_pt(dist=lambda: random.gammavariate(2, 3)) # expect 3, gamma
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# pt = get_pt(dist=lambda: random.betavariate(2, 3)) # expect 1, beta
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# pt = get_pt(dist=lambda: random.expovariate(0.2)) # expect 3, beta
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pt = get_pt(dist=lambda: random.uniform(0.0, 10.0)) # gets 2
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print('pearson type:', pt)
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# import pdb;pdb.set_trace()
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