本文整理汇总了Python中hftools.dataset.DataBlock.b方法的典型用法代码示例。如果您正苦于以下问题：Python DataBlock.b方法的具体用法？Python DataBlock.b怎么用？Python DataBlock.b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.b方法的13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_wrong_version_2
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_wrong_version_2(self):
ia = DimSweep("a", 1, unit="")
d1 = DataBlock()
d1.b = hfarray([2], dims=(ia,))
d2 = DataBlock()
d2.b = hfarray([3], dims=(ia,))
fname = testpath / "testdata/hdf5/v02/savetest/res_1.hdf5"
with hdf5context(fname, mode="w") as fil:
save_hdf5_v01(d1, fil)
self.assertRaises(Exception, append_hdf5, d2, fil)
# append_hdf5(d2, fil)
fname.unlink()示例2: test_cant_append
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_cant_append(self):
i1 = DimSweep("a", 1, unit="s", outputformat="")
i2 = DimSweep("INDEX", 2, unit="s")
iexpand = DimRep("INDEX", 1, unit="s", outputformat="")
d1 = DataBlock()
d1.b = hfarray([2], dims=(i1,), outputformat="")
d1.c = hfarray(3)
d2 = DataBlock()
d2.b = hfarray([3], dims=(i1,))
fname = testpath / "testdata/hdf5/v02/savetest/res_1.hdf5"
with hdf5context(fname, mode="w") as fil:
savefun(d1, fil, expandable=True, expanddim=iexpand)
self.assertRaises(ValueError, append_hdf5, d2, fil)
fname.unlink()示例3: test_8
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_8(self):
d = DataBlock()
d.b = hfarray([2], dims=(DimSweep("a", 1),))
fname = testpath / "testdata/hdf5/v02/savetest/res_8.hdf5"
with h5py.File(fname, mode="w") as fil:
self.savefun[0](d, fil)
fname.unlink()示例4: test_1
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_1(self):
i1 = DimSweep("a", 1, unit="s", outputformat="")
i2 = DimSweep("INDEX", 2)
d1 = DataBlock()
d1.b = hfarray([2], dims=(i1,), outputformat="")
d2 = DataBlock()
d2.b = hfarray([3], dims=(i1,))
fname = testpath / "testdata/hdf5/v02/savetest/res_1.hdf5"
with hdf5context(fname, mode="w") as fil:
savefun(d1, fil, expandable=True)
append_hdf5(d2, fil)
d = readfun(fname)
self.assertAllclose(hfarray([[2, 3]], dims=(i1, i2)), d.b)
self.assertEqual(d.ivardata["a"].unit, "s")
self.assertEqual(d.ivardata["a"].outputformat, "%d")
self.assertEqual(d.b.outputformat, "%d")
fname.unlink()示例5: test_2
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_2(self):
d = DataBlock()
d.comments = Comments(["Hej=10"])
# import pdb;pdb.set_trace()
d.b = hfarray([2], dims=(DimSweep("a", 1),))
fname = testpath / "testdata/hdf5/v02/savetest/res_2.hdf5"
self.savefun[0](d, fname)
fname.unlink()示例6: test_normalize_names_3
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_normalize_names_3(self):
db = DataBlock()
db.b = hfarray(1)
db["a1/a2 raw"] = hfarray(1)
db["a12"] = hfarray(2)
res = common.normalize_names(db)
self.assertTrue("a1/a2 raw" in res.vardata)
self.assertTrue("a12" in res.vardata)示例7: test_10
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_10(self):
d = DataBlock()
d.blockname = "Foo"
d.b = hfarray([2], dims=(DimSweep("a", 1), ), unit="V")
fname = testpath / "testdata/hdf5/v01/savetest/res_10.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
self.assertEqual(d2.blockname, "Foo")
fname.unlink()示例8: test_9
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_9(self):
d = DataBlock()
d.comments = Comments(["Hej=10"])
d.b = hfarray([2], dims=(DimSweep("a", 1), ), unit="V")
fname = testpath / "testdata/hdf5/v01/savetest/res_9.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
self.assertEqual(d2.b.unit, "V")
fname.unlink()示例9: test_10
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_10(self):
d = DataBlock()
d.comments = Comments(["Hej=10"])
# import pdb;pdb.set_trace()
d.b = hfarray([2], dims=(DimSweep("a", 1), ), unit="V")
d.b.outputformat = ""
fname = testpath / "testdata/hdf5/v02/savetest/res_10.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
self.assertEqual(d2.b.outputformat, "%d")
fname.unlink()示例10: test_1
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_1(self):
d = DataBlock()
d.b = hfarray([2], dims=(DimSweep("a", 1),))
f1 = testpath / "testdata/sp-data/savetest/res_1.txt"
f2 = testpath / "testdata/sp-data/savetest/facit_1.txt"
hftools.file_formats.spdata.save_spdata(d, f1)
with open(f1) as resfil:
with open(f2) as facitfil:
for idx, (rad1, rad2) in enumerate(zip(resfil, facitfil)):
msg = "\nFailed on line %d\n result: %r\n facit: %r"
args = (idx + 1, rad1, rad2)
self.assertEqual(rad1, rad2, msg=msg % args)示例11: test_11
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_11(self):
ia = DimSweep("a", 1)
d = DataBlock()
d.comments = Comments(["Hej=10"])
# import pdb;pdb.set_trace()
d.b = hfarray([u"kalle"], dims=(ia, ), unit="V")
d.c = hfarray(u"kalle")
fname = testpath / "testdata/hdf5/v02/savetest/res_11.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
self.assertEqual(d2.b[0], u"kalle")
self.assertEqual(d2.c, u"kalle")
fname.unlink()示例12: test_normalize_names_error
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_normalize_names_error(self):
db = DataBlock()
db.b = hfarray(1)
db["Mean(A)"] = hfarray(1)
db["A"] = hfarray(2)
self.assertRaises(ValueError, common.normalize_names, db)示例13: test_normalize_names_2
# 需要导入模块: from hftools.dataset import DataBlock [as 别名]
# 或者: from hftools.dataset.DataBlock import b [as 别名]
def test_normalize_names_2(self):
db = DataBlock()
db.b = hfarray(1)
db["Mean(A)"] = hfarray(1)
res = common.normalize_names(db)
self.assertTrue("A" in res.vardata)