Python is_lexsorted示例

示例#1

文件： index.py 项目： MLnick/pandas

    def lexsort_depth(self):
        if self.sortorder is not None:
            if self.sortorder == 0:
                return self.nlevels
            else:
                return 0

        for k in range(self.nlevels, 0, -1):
            if _tseries.is_lexsorted(self.labels[:k]):
                return k

        return 0

示例#2

文件： index.py 项目： bshanks/pandas

    def lexsort_depth(self):
        if self.sortorder is not None:
            if self.sortorder == 0:
                return self.nlevels
            else:
                return 0

        for k in range(self.nlevels, 0, -1):
            if lib.is_lexsorted(self.labels[:k]):
                return k

        return 0

示例#3

文件： test_tseries.py 项目： andreas-h/pandas

def test_is_lexsorted():
    failure = [
        np.array([3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
                  3, 3,
               3, 3,
           3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
           2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
           0, 0, 0, 0, 0, 0, 0, 0, 0]),
        np.array([30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16,
                  15, 14,
       13, 12, 11, 10,  9,  8,  7,  6,  5,  4,  3,  2,  1,  0, 30, 29, 28,
       27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11,
       10,  9,  8,  7,  6,  5,  4,  3,  2,  1,  0, 30, 29, 28, 27, 26, 25,
       24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10,  9,  8,
        7,  6,  5,  4,  3,  2,  1,  0, 30, 29, 28, 27, 26, 25, 24, 23, 22,
       21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10,  9,  8,  7,  6,  5,
        4,  3,  2,  1,  0])]

    assert(not lib.is_lexsorted(failure))

示例#4

文件： test_tseries.py 项目： theandygross/pandas

def test_is_lexsorted():
    failure = [
        np.array([3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,
                  3, 3,
               3, 3,
           3, 3, 3, 3, 3, 3, 3, 3, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,
           2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1,
           1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
           1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
           0, 0, 0, 0, 0, 0, 0, 0, 0]),
        np.array([30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16,
                  15, 14,
       13, 12, 11, 10,  9,  8,  7,  6,  5,  4,  3,  2,  1,  0, 30, 29, 28,
       27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11,
       10,  9,  8,  7,  6,  5,  4,  3,  2,  1,  0, 30, 29, 28, 27, 26, 25,
       24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10,  9,  8,
        7,  6,  5,  4,  3,  2,  1,  0, 30, 29, 28, 27, 26, 25, 24, 23, 22,
       21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10,  9,  8,  7,  6,  5,
        4,  3,  2,  1,  0])]

    assert(not lib.is_lexsorted(failure))