本文整理汇总了Python中hftools.dataset.DataBlock.x方法的典型用法代码示例。如果您正苦于以下问题：Python DataBlock.x方法的具体用法？Python DataBlock.x怎么用？Python DataBlock.x使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类hftools.dataset.DataBlock的用法示例。
在下文中一共展示了DataBlock.x方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_none
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import x [as 别名]
def test_none(self):
db = DataBlock()
db.x = hfarray(1)
fname = testpath / "testdata/hdf5/v02/slask.hdf5"
savefun(db, fname)
db = readfun(fname)
self.assertIsNone(db.blockname)
fname.unlink()示例2: DimSweep
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import x [as 别名]
(1, 1, 2),
(1, 2, 1),
(1, 2, 2),
(2, 1, 1),
(2, 1, 2),
(2, 2, 1),
(2, 2, 2),
]
fi = DimSweep("f", array([10, 20, 30]))
for i, k, j in a:
db = DataBlock()
db.I = DimPartial("I", array(i))
db.K = DimPartial("K", array(k))
db.J = DimPartial("J", array(j))
db.x = hfarray([11, 12, 13], dims=(fi, )) * (i + k * 10 + j * 100)
db.y = hfarray([11, 12, 13], dims=(fi, )) * (i + k * 10 + j * 100)
blocks.append(db)
for i, k, j in itertools.product([1, 2], [3, 4], [5, 6, 7]):
db = DataBlock()
db.I = DimPartial("I", array(i))
db.K = DimPartial("K", array(k))
db.J = DimPartial("J", array(j))
db.x = hfarray([11, 12, 13], dims=(fi, )) * (i + k * 10 + j * 100)
db.y = hfarray([11, 12, 13], dims=(fi, )) * (i + k * 10 + j * 100)
blocks2.append(db)
outdata = merge_blocks(blocks)
outdata_hyper = merge_blocks(blocks)