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        "author": "Jo\u00e3o Faria",
        "author_email": "joao.faria@astro.up.pt",
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        "description": "### A better scipy.stats.uniform\n\nThe `stats` sub-package of scipy is quite cool.  \nIn particular, it provides dozens of probability distributions implemented with a common interface.\n\nBut `scipy.stats.uniform` always bugged me.\n\n\n```python\n>>> from scipy import stats\n>>> help(stats.uniform)\n\nA uniform continuous random variable.\n  \nThis distribution is constant between `loc` and ``loc + scale``.\n```\n\nWhy `loc + scale`? Why not `scale`?  \n\nSo I wrote `better_uniform`: eight small lines of code that don't bug me so much.\n\n\n```python\nfrom scipy import stats \n\nclass frozen(stats._distn_infrastructure.rv_frozen):\n    def __init__(self, dist, *args, **kwds):\n        super(frozen,self).__init__(dist, *args, **kwds)\n\ndef buniform(a, b):  # b for better\n    dist = stats.uniform\n    dist.name = 'uniform'\n    return frozen(dist, loc=a, scale=b-a)\n```\n\n\nNow it works as I expect it to work:\n\n```python\nd = buniform(0, 1)\nd.rvs()        # 0 < rv < 1\nd.interval(1)  # (0.0, 1.0)\n\nd = buniform(1, 2)\nd.rvs()        # 1 < rv < 2\nd.interval(1)  # (1.0, 2.0)\n\n# note the difference\nfrom scipy.stats import uniform\nd = uniform(1, 2)\nd.rvs()        # 1 < rv < 3\nd.interval(1)  # (1.0, 3.0)\n```\n\n\n\nThat's it!\n\n\n#### Cool, I want it!\n\n```\npip install better-uniform\n```\n\nor \n\n```bash\ngit clone https://github.com/j-faria/better_uniform.git\ncd better_uniform\npython setup.py install\n```\n\nand later, from Python\n\n```python\nfrom better_uniform import buniform\n```",
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