Python asArray_N_x_Dimの例

コード例 #1

    def test_asArray_N_x_Dim(self):

        true = np.array([[1,2,3]])

        listArray = asArray_N_x_Dim([1,2,3],3)
        self.assertTrue(np.all(true == listArray))
        self.assertTrue(true.shape == listArray.shape)

        listArray = asArray_N_x_Dim(np.r_[1,2,3],3)
        self.assertTrue(np.all(true == listArray))
        self.assertTrue(true.shape == listArray.shape)

        listArray = asArray_N_x_Dim(np.array([[1,2,3.]]),3)
        self.assertTrue(np.all(true == listArray))
        self.assertTrue(true.shape == listArray.shape)

        true = np.array([[1,2],[4,5]])

        listArray = asArray_N_x_Dim([[1,2],[4,5]],2)
        self.assertTrue(np.all(true == listArray))
        self.assertTrue(true.shape == listArray.shape)

コード例 #2

    def test_asArray_N_x_Dim(self):

        true = np.array([[1, 2, 3]])

        listArray = asArray_N_x_Dim([1, 2, 3], 3)
        self.assertTrue(np.all(true == listArray))
        self.assertTrue(true.shape == listArray.shape)

        listArray = asArray_N_x_Dim(np.r_[1, 2, 3], 3)
        self.assertTrue(np.all(true == listArray))
        self.assertTrue(true.shape == listArray.shape)

        listArray = asArray_N_x_Dim(np.array([[1, 2, 3.]]), 3)
        self.assertTrue(np.all(true == listArray))
        self.assertTrue(true.shape == listArray.shape)

        true = np.array([[1, 2], [4, 5]])

        listArray = asArray_N_x_Dim([[1, 2], [4, 5]], 2)
        self.assertTrue(np.all(true == listArray))
        self.assertTrue(true.shape == listArray.shape)

コード例 #3

ファイル: StaticUtils.py プロジェクト: suhle/simpeg

def closestPointsGrid(grid, pts, dim=2):
    """Move a list of points to the closest points on a grid.

    :param numpy.ndarray pts: Points to move
    :rtype: numpy.ndarray
    :return: nodeInds
    """

    pts = asArray_N_x_Dim(pts, dim)
    nodeInds = np.empty(pts.shape[0], dtype=int)

    for i, pt in enumerate(pts):
        if dim == 1:
            nodeInds[i] = ((pt - grid)**2.).argmin()
        else:
            nodeInds[i] = ((np.tile(pt, (grid.shape[0], 1)) -
                            grid)**2.).sum(axis=1).argmin()

    return nodeInds

コード例 #4

ファイル: StaticUtils.py プロジェクト: simpeg/simpeg

def closestPointsGrid(grid, pts, dim=2):
    """Move a list of points to the closest points on a grid.

    :param numpy.ndarray pts: Points to move
    :rtype: numpy.ndarray
    :return: nodeInds
    """

    pts = asArray_N_x_Dim(pts, dim)
    nodeInds = np.empty(pts.shape[0], dtype=int)

    for i, pt in enumerate(pts):
        if dim == 1:
            nodeInds[i] = ((pt - grid)**2.).argmin()
        else:
            nodeInds[i] = (
                (np.tile(
                    pt, (grid.shape[0], 1)) - grid)**2.).sum(axis=1).argmin()

    return nodeInds