Python binify示例

示例#1

文件： test_splicingdata.py 项目： bobbybabra/flotilla

    def test_binify(self, splicing_data):
        from flotilla.compute.infotheory import binify
        test_binned = splicing_data.binify(splicing_data.data)

        true_binned = binify(splicing_data.data, splicing_data.bins)
        true_binned = true_binned.dropna(how='all', axis=1)

        pdt.assert_frame_equal(test_binned, true_binned)

示例#2

文件： test_infotheory.py 项目： friedpine/flotilla

def test_binify(bins, df1):
    from flotilla.compute.infotheory import bin_range_strings, binify
    binned = binify(df1, bins)

    true_binned = df1.apply(lambda x: pd.Series(np.histogram(x, bins=bins)[0]))
    true_binned.index = bin_range_strings(bins)
    true_binned = true_binned / true_binned.sum().astype(float)

    pdt.assert_frame_equal(binned, true_binned)

示例#3

文件： test_infotheory.py 项目： friedpine/flotilla

def test_binify(bins, df1):
    from flotilla.compute.infotheory import bin_range_strings, binify
    binned = binify(df1, bins)

    true_binned = df1.apply(lambda x: pd.Series(np.histogram(x, bins=bins)[0]))
    true_binned.index = bin_range_strings(bins)
    true_binned = true_binned / true_binned.sum().astype(float)

    pdt.assert_frame_equal(binned, true_binned)

示例#4

    def test_binify(self, splicing):
        from flotilla.compute.infotheory import binify

        test_binned = splicing.binify(splicing.data)

        true_binned = binify(splicing.data, splicing.bins)
        true_binned = true_binned.dropna(how='all', axis=1)

        pdt.assert_frame_equal(test_binned, true_binned)

示例#5

def q(df2, bins):
    from flotilla.compute.infotheory import binify

    return binify(df2, bins)