diff --git a/.bumpversion.cfg b/.bumpversion.cfg index bf44405..69d4f67 100644 --- a/.bumpversion.cfg +++ b/.bumpversion.cfg @@ -1,5 +1,5 @@ [bumpversion] -current_version = 0.0.18 +current_version = 0.1.1 commit = True tag = False diff --git a/MANIFEST.in b/MANIFEST.in index fa8dea0..0574cc6 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1 +1 @@ -include pyscal_rdf/data/*.owl +include pyscal_rdf/data/*.??l diff --git a/examples/01_getting_started.ipynb b/examples/01_getting_started.ipynb index 52283a3..4fae09b 100644 --- a/examples/01_getting_started.ipynb +++ b/examples/01_getting_started.ipynb @@ -114,1049 +114,976 @@ "\n", "\n", - "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", - "SimulationCell_1Length\n", - "\n", - "SimulationCell_1Length\n", + "sample_1_SimulationCell\n", + "\n", + "sample_1_SimulationCell\n", "\n", - "\n", + "\n", "\n", - "48d2c363-3ee1-4f79-953f-71d4b7d38c77\n", - "\n", - "2.87\n", + "sample_1_SimulationCellVector_1\n", + "\n", + "sample_1_SimulationCellVector_1\n", "\n", - "\n", + "\n", "\n", - "SimulationCell_1Length->48d2c363-3ee1-4f79-953f-71d4b7d38c77\n", - "\n", - "\n", - "cmso.hasLength_x\n", + "sample_1_SimulationCell->sample_1_SimulationCellVector_1\n", + "\n", + "\n", + "cmso.hasVector\n", "\n", - "\n", - "\n", - "453b511f-5077-4950-9fd2-c053ff17f3aa\n", - "\n", - "2.87\n", - "\n", - "\n", - "\n", - "SimulationCell_1Length->453b511f-5077-4950-9fd2-c053ff17f3aa\n", - "\n", - "\n", - "cmso.hasLength_y\n", + "\n", + "\n", + "sample_1_SimulationCellAngle\n", + "\n", + "sample_1_SimulationCellAngle\n", "\n", - "\n", - "\n", - "cmso.SimulationCellLength\n", - "\n", - "cmso.SimulationCellLength\n", + "\n", + "\n", + "sample_1_SimulationCell->sample_1_SimulationCellAngle\n", + "\n", + "\n", + "cmso.hasAngle\n", "\n", - "\n", - "\n", - "SimulationCell_1Length->cmso.SimulationCellLength\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "sample_1_SimulationCellVector_2\n", + "\n", + "sample_1_SimulationCellVector_2\n", "\n", - "\n", - "\n", - "a0f55cb6-28e5-49e6-a533-e2cf279d7646\n", - "\n", - "2.87\n", + "\n", + "\n", + "sample_1_SimulationCell->sample_1_SimulationCellVector_2\n", + "\n", + "\n", + "cmso.hasVector\n", "\n", - "\n", - "\n", - "SimulationCell_1Length->a0f55cb6-28e5-49e6-a533-e2cf279d7646\n", - "\n", - "\n", - "cmso.hasLength_z\n", + "\n", + "\n", + "sample_1_SimulationCellVector_3\n", + "\n", + "sample_1_SimulationCellVector_3\n", "\n", - "\n", - "\n", - "cmso.SimulationCellAngle\n", - "\n", - "cmso.SimulationCellAngle\n", + "\n", + "\n", + "sample_1_SimulationCell->sample_1_SimulationCellVector_3\n", + "\n", + "\n", + "cmso.hasVector\n", "\n", - "\n", - "\n", - "cmso.Angle\n", - "\n", - "cmso.Angle\n", + "\n", + "\n", + "sample_1_SimulationCellLength\n", + "\n", + "sample_1_SimulationCellLength\n", "\n", - "\n", - "\n", - "cmso.SimulationCellAngle->cmso.Angle\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "sample_1_SimulationCell->sample_1_SimulationCellLength\n", + "\n", + "\n", + "cmso.hasLength\n", "\n", - "\n", + "\n", "\n", - "DEG\n", - "\n", - "DEG\n", + "cmso.SimulationCell\n", + "\n", + "cmso.SimulationCell\n", "\n", - "\n", - "\n", - "cmso.Angle->DEG\n", - "\n", - "\n", - "cmso.hasUnit\n", + "\n", + "\n", + "sample_1_SimulationCell->cmso.SimulationCell\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_1_1_Position\n", - "\n", - "Atom_1_1_Position\n", + "\n", + "\n", + "c98da728-93a4-437d-bf72-41c9348e491b\n", + "\n", + "1512.95\n", "\n", - "\n", - "\n", - "435038de-d92c-4948-89fd-5b8b13377dc3\n", - "\n", - "1.435\n", + "\n", + "\n", + "sample_1_SimulationCell->c98da728-93a4-437d-bf72-41c9348e491b\n", + "\n", + "\n", + "cmso.hasVolume\n", "\n", - "\n", - "\n", - "Atom_1_1_Position->435038de-d92c-4948-89fd-5b8b13377dc3\n", - "\n", - "\n", - "cmso.hasComponent_x\n", + "\n", + "\n", + "cmso.SimulationCellVector\n", + "\n", + "cmso.SimulationCellVector\n", "\n", - "\n", - "\n", - "ad7cb0c5-3cc3-40d7-871f-a4752b6fa6b4\n", - "\n", - "1.435\n", + "\n", + "\n", + "sample_1_SimulationCellVector_1->cmso.SimulationCellVector\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_1_1_Position->ad7cb0c5-3cc3-40d7-871f-a4752b6fa6b4\n", - "\n", - "\n", - "cmso.hasComponent_z\n", + "\n", + "\n", + "865995bd-6362-4a48-97d0-4072beac9757\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "cmso.PositionVector\n", - "\n", - "cmso.PositionVector\n", + "\n", + "\n", + "sample_1_SimulationCellVector_1->865995bd-6362-4a48-97d0-4072beac9757\n", + "\n", + "\n", + "cmso.hasComponent_y\n", "\n", - "\n", - "\n", - "Atom_1_1_Position->cmso.PositionVector\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "ebce2d62-9366-4922-bb67-f9de019d582f\n", + "\n", + "0.0\n", "\n", - "\n", - "\n", - "b24578c5-ceae-480d-804c-f2bd485bd6b8\n", - "\n", - "1.435\n", + "\n", + "\n", + "sample_1_SimulationCellVector_1->ebce2d62-9366-4922-bb67-f9de019d582f\n", + "\n", + "\n", + "cmso.hasComponent_z\n", "\n", - "\n", - "\n", - "Atom_1_1_Position->b24578c5-ceae-480d-804c-f2bd485bd6b8\n", - "\n", - "\n", - "cmso.hasComponent_y\n", + "\n", + "\n", + "5a0d153b-23a5-4495-a772-b14152860bfe\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeAngle\n", - "\n", - "UnitCell_1LatticeAngle\n", + "\n", + "\n", + "sample_1_SimulationCellVector_1->5a0d153b-23a5-4495-a772-b14152860bfe\n", + "\n", + "\n", + "cmso.hasComponent_x\n", "\n", - "\n", - "\n", - "0967e175-9673-4868-8fc0-84034983f39f\n", - "\n", - "90\n", + "\n", + "\n", + "sample_1_CrystalStructure\n", + "\n", + "sample_1_CrystalStructure\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeAngle->0967e175-9673-4868-8fc0-84034983f39f\n", - "\n", - "\n", - "cmso.hasAngle_alpha\n", + "\n", + "\n", + "d5f68373-47d6-441e-85e7-6dd4c0479d6b\n", + "\n", + "Im-3M\n", "\n", - "\n", + "\n", + "\n", + "sample_1_CrystalStructure->d5f68373-47d6-441e-85e7-6dd4c0479d6b\n", + "\n", + "\n", + "cmso.hasSpaceGroupSymbol\n", + "\n", + "\n", "\n", - "cmso.LatticeAngle\n", - "\n", - "cmso.LatticeAngle\n", + "cmso.CrystalStructure\n", + "\n", + "cmso.CrystalStructure\n", "\n", - "\n", + "\n", "\n", - "UnitCell_1LatticeAngle->cmso.LatticeAngle\n", - "\n", - "\n", - "type\n", + "sample_1_CrystalStructure->cmso.CrystalStructure\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "587320d9-3ed4-4efc-b172-92755b614a2d\n", - "\n", - "90\n", + "\n", + "\n", + "sample_1_UnitCell\n", + "\n", + "sample_1_UnitCell\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeAngle->587320d9-3ed4-4efc-b172-92755b614a2d\n", - "\n", - "\n", - "cmso.hasAngle_gamma\n", + "\n", + "\n", + "sample_1_CrystalStructure->sample_1_UnitCell\n", + "\n", + "\n", + "cmso.hasUnitCell\n", "\n", - "\n", - "\n", - "9cbcffcd-202f-4bd9-8090-ba35352e6ffe\n", - "\n", - "90\n", + "\n", + "\n", + "6040c458-4081-45b7-be5d-e0a701526203\n", + "\n", + "Bcc\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeAngle->9cbcffcd-202f-4bd9-8090-ba35352e6ffe\n", - "\n", - "\n", - "cmso.hasAngle_beta\n", + "\n", + "\n", + "sample_1_CrystalStructure->6040c458-4081-45b7-be5d-e0a701526203\n", + "\n", + "\n", + "cmso.hasAltName\n", "\n", - "\n", - "\n", - "cmso.LatticeAngle->cmso.Angle\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "c416e453-b1e7-44db-b50f-cab9f8c735fc\n", + "\n", + "229\n", "\n", - "\n", - "\n", - "cmso.LatticeParameter\n", - "\n", - "cmso.LatticeParameter\n", + "\n", + "\n", + "sample_1_CrystalStructure->c416e453-b1e7-44db-b50f-cab9f8c735fc\n", + "\n", + "\n", + "cmso.hasSpaceGroupNumber\n", "\n", - "\n", - "\n", - "cmso.Length\n", - "\n", - "cmso.Length\n", + "\n", + "\n", + "sample_1_Species\n", + "\n", + "sample_1_Species\n", "\n", - "\n", - "\n", - "cmso.LatticeParameter->cmso.Length\n", - "\n", - "\n", - "subClassOf\n", + "\n", + "\n", + "cce213ce-e2e9-4e48-9a6b-cc47db9cc06e\n", + "\n", + "Rdf_Structure_Store/1.Json\n", "\n", - "\n", - "\n", - "ANGSTROM\n", - "\n", - "ANGSTROM\n", + "\n", + "\n", + "sample_1_Species->cce213ce-e2e9-4e48-9a6b-cc47db9cc06e\n", + "\n", + "\n", + "cmso.hasPath\n", "\n", - "\n", - "\n", - "cmso.Length->ANGSTROM\n", - "\n", - "\n", - "cmso.hasUnit\n", + "\n", + "\n", + "cmso.AtomAttribute\n", + "\n", + "cmso.AtomAttribute\n", "\n", - "\n", - "\n", - "Sample_1\n", - "\n", - "Sample_1\n", + "\n", + "\n", + "sample_1_Species->cmso.AtomAttribute\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_1_0\n", - "\n", - "Atom_1_0\n", + "\n", + "\n", + "55097bde-e117-4b24-b0ee-17848cd2a1d2\n", + "\n", + "Ce0Debfc-1D4B-4764-8B94-77B47F48D422\n", "\n", - "\n", - "\n", - "Sample_1->Atom_1_0\n", - "\n", - "\n", - "cmso.hasAtom\n", + "\n", + "\n", + "sample_1_Species->55097bde-e117-4b24-b0ee-17848cd2a1d2\n", + "\n", + "\n", + "cmso.hasIdentifier\n", "\n", - "\n", - "\n", - "cmso.AtomicScaleSample\n", - "\n", - "cmso.AtomicScaleSample\n", + "\n", + "\n", + "f105f641-3945-4f65-bbd1-f8a29f67f932\n", + "\n", + "Species\n", "\n", - "\n", - "\n", - "Sample_1->cmso.AtomicScaleSample\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "sample_1_Species->f105f641-3945-4f65-bbd1-f8a29f67f932\n", + "\n", + "\n", + "cmso.hasName\n", "\n", - "\n", - "\n", - "SimulationCell_1\n", - "\n", - "SimulationCell_1\n", + "\n", + "\n", + "sample_1_LatticeParameter\n", + "\n", + "sample_1_LatticeParameter\n", "\n", - "\n", - "\n", - "Sample_1->SimulationCell_1\n", - "\n", - "\n", - "cmso.hasSimulationCell\n", + "\n", + "\n", + "76387bd6-9993-422f-b505-93836133874b\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "Material_1\n", - "\n", - "Material_1\n", + "\n", + "\n", + "sample_1_LatticeParameter->76387bd6-9993-422f-b505-93836133874b\n", + "\n", + "\n", + "cmso.hasLength_x\n", "\n", - "\n", - "\n", - "Sample_1->Material_1\n", - "\n", - "\n", - "cmso.hasMaterial\n", + "\n", + "\n", + "cmso.LatticeParameter\n", + "\n", + "cmso.LatticeParameter\n", "\n", - "\n", - "\n", - "Atom_1_1\n", - "\n", - "Atom_1_1\n", + "\n", + "\n", + "sample_1_LatticeParameter->cmso.LatticeParameter\n", + "\n", + "\n", + "type\n", "\n", - "\n", + "\n", + "\n", + "9adb3c70-7ff6-49bd-8ea9-7c7af8d015b3\n", + "\n", + "2.87\n", + "\n", + "\n", "\n", - "Sample_1->Atom_1_1\n", - "\n", - "\n", - "cmso.hasAtom\n", + "sample_1_LatticeParameter->9adb3c70-7ff6-49bd-8ea9-7c7af8d015b3\n", + "\n", + "\n", + "cmso.hasLength_y\n", "\n", - "\n", - "\n", - "d406b91d-c313-42fd-9cd1-790c81bd9483\n", - "\n", - "2\n", + "\n", + "\n", + "49edef01-b597-48b8-bc1f-a6eba4788cc1\n", + "\n", + "2.87\n", "\n", - "\n", - "\n", - "Sample_1->d406b91d-c313-42fd-9cd1-790c81bd9483\n", - "\n", - "\n", - "cmso.hasNumberOfAtoms\n", + "\n", + "\n", + "sample_1_LatticeParameter->49edef01-b597-48b8-bc1f-a6eba4788cc1\n", + "\n", + "\n", + "cmso.hasLength_z\n", "\n", - "\n", - "\n", - "Atom_1_0_Position\n", - "\n", - "Atom_1_0_Position\n", + "\n", + "\n", + "sample_1_UnitCell->sample_1_LatticeParameter\n", + "\n", + "\n", + "cmso.hasLatticeParamter\n", "\n", - "\n", - "\n", - "Atom_1_0->Atom_1_0_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", + "\n", + "\n", + "sample_1_LatticeAngle\n", + "\n", + "sample_1_LatticeAngle\n", "\n", - "\n", - "\n", - "cmso.Atom\n", - "\n", - "cmso.Atom\n", + "\n", + "\n", + "sample_1_UnitCell->sample_1_LatticeAngle\n", + "\n", + "\n", + "cmso.hasAngle\n", "\n", - "\n", - "\n", - "Atom_1_0->cmso.Atom\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "wiki.Q851536\n", + "\n", + "wiki.Q851536\n", "\n", - "\n", - "\n", - "Atom_1_0_Element\n", - "\n", - "Atom_1_0_Element\n", + "\n", + "\n", + "sample_1_UnitCell->wiki.Q851536\n", + "\n", + "\n", + "cmso.hasBravaisLattice\n", "\n", - "\n", - "\n", - "Atom_1_0->Atom_1_0_Element\n", - "\n", - "\n", - "cmso.hasElement\n", + "\n", + "\n", + "cmso.UnitCell\n", + "\n", + "cmso.UnitCell\n", "\n", - "\n", - "\n", - "862ae50f-66eb-4cde-b4cd-7ec855008146\n", - "\n", - "14\n", + "\n", + "\n", + "sample_1_UnitCell->cmso.UnitCell\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "Atom_1_0->862ae50f-66eb-4cde-b4cd-7ec855008146\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", + "\n", + "\n", + "sample_1_Position\n", + "\n", + "sample_1_Position\n", "\n", - "\n", - "\n", - "UnitCell_1\n", - "\n", - "UnitCell_1\n", + "\n", + "\n", + "6d6cf958-fc5b-48bd-a416-9d6f2142b1c6\n", + "\n", + "Position\n", "\n", - "\n", - "\n", - "UnitCell_1->UnitCell_1LatticeAngle\n", - "\n", - "\n", - "cmso.hasAngle\n", + "\n", + "\n", + "sample_1_Position->6d6cf958-fc5b-48bd-a416-9d6f2142b1c6\n", + "\n", + "\n", + "cmso.hasName\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeParameter\n", - "\n", - "UnitCell_1LatticeParameter\n", + "\n", + "\n", + "3729f05e-7dc8-4a66-8aba-9df6200cee37\n", + "\n", + "Rdf_Structure_Store/1.Json\n", "\n", - "\n", - "\n", - "UnitCell_1->UnitCell_1LatticeParameter\n", - "\n", - "\n", - "cmso.hasLatticeParamter\n", + "\n", + "\n", + "sample_1_Position->3729f05e-7dc8-4a66-8aba-9df6200cee37\n", + "\n", + "\n", + "cmso.hasPath\n", "\n", - "\n", - "\n", - "cmso.UnitCell\n", - "\n", - "cmso.UnitCell\n", + "\n", + "\n", + "128789f9-d54c-4f1d-a6e4-f67beed16151\n", + "\n", + "3D81Bcb3-7B80-44F9-A30E-627166242012\n", "\n", - "\n", - "\n", - "UnitCell_1->cmso.UnitCell\n", - "\n", - "\n", - "type\n", + "\n", + "\n", + "sample_1_Position->128789f9-d54c-4f1d-a6e4-f67beed16151\n", + "\n", + "\n", + "cmso.hasIdentifier\n", "\n", - "\n", - "\n", - "wiki.Q851536\n", - "\n", - "wiki.Q851536\n", + "\n", + "\n", + "sample_1_Position->cmso.AtomAttribute\n", + "\n", + "\n", + "type\n", "\n", - "\n", - "\n", - "UnitCell_1->wiki.Q851536\n", - "\n", - "\n", - "cmso.hasBravaisLattice\n", + "\n", + "\n", + "sample_1\n", + "\n", + "sample_1\n", "\n", - "\n", - "\n", - "UnitCell_1LatticeParameter->cmso.LatticeParameter\n", - 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"\n", - "\n", - "SimulationCell_1Vector01->ac266de7-4a16-49d5-be11-c8ac9442d4d4\n", - "\n", - "\n", - "cmso.hasComponent_x\n", - "\n", - "\n", - "\n", - "1c7201fc-50db-4dcc-98ac-ed096dcd6cd5\n", - "\n", - "0.0\n", - "\n", - "\n", - "\n", - "SimulationCell_1Vector01->1c7201fc-50db-4dcc-98ac-ed096dcd6cd5\n", - "\n", - "\n", - "cmso.hasComponent_y\n", - "\n", - "\n", - "\n", - "ae74d537-a1ce-406b-9ff8-a6cc1ac5b32c\n", - "\n", - "0.0\n", - "\n", - "\n", - "\n", - "SimulationCell_1Vector01->ae74d537-a1ce-406b-9ff8-a6cc1ac5b32c\n", - "\n", - "\n", - "cmso.hasComponent_z\n", - "\n", - "\n", - "\n", - "Atom_2_3_Element->cmso.Element\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "724ad607-8c0d-4e11-aad7-6263a0e1e49a\n", - "\n", - "Si\n", - "\n", - "\n", - "\n", - "Atom_2_3_Element->724ad607-8c0d-4e11-aad7-6263a0e1e49a\n", - "\n", - "\n", - "cmso.hasSymbol\n", - "\n", - "\n", - "\n", - "Atom_2_2_Position->cmso.PositionVector\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "a434f04c-e4ed-4c2e-85fa-11ca3dc52df0\n", - "\n", - "2.715\n", + "\n", + "\n", + "sample_2_LatticeAngle->0b3ce741-fd81-456d-9c04-7af5ad612dd9\n", + "\n", + "\n", + "cmso.hasAngle_alpha\n", "\n", - "\n", - "\n", - "Atom_2_2_Position->a434f04c-e4ed-4c2e-85fa-11ca3dc52df0\n", - "\n", - "\n", - "cmso.hasComponent_x\n", - "\n", - "\n", - "\n", - "00dd7d1f-3431-4353-8084-3a1779ac0f49\n", - "\n", - "0.0\n", - "\n", - "\n", - "\n", - "Atom_2_2_Position->00dd7d1f-3431-4353-8084-3a1779ac0f49\n", - "\n", - "\n", - "cmso.hasComponent_z\n", - "\n", - "\n", - "\n", - "867897ed-d910-4ee2-9215-fcec2cdf1373\n", - "\n", - "2.715\n", - "\n", - "\n", - "\n", - "Atom_2_2_Position->867897ed-d910-4ee2-9215-fcec2cdf1373\n", - "\n", - "\n", - "cmso.hasComponent_y\n", - "\n", - "\n", - "\n", - "Atom_2_0->cmso.Atom\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "Atom_2_0->Atom_2_0_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", - "\n", - "\n", - "\n", - "Atom_2_0->Atom_2_0_Element\n", - "\n", - "\n", - "cmso.hasElement\n", - "\n", - "\n", - "\n", - "9747c17e-b2b7-4612-bce9-87f097d2eca9\n", - "\n", - "4\n", - "\n", - "\n", - "\n", - "Atom_2_0->9747c17e-b2b7-4612-bce9-87f097d2eca9\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", - "\n", - "\n", - "\n", - "Atom_2_7->Atom_2_7_Position\n", - "\n", - "\n", - "cmso.hasPositionVector\n", - "\n", - "\n", - "\n", - "Atom_2_7->cmso.Atom\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "Atom_2_7->Atom_2_7_Element\n", - "\n", - "\n", - "cmso.hasElement\n", - "\n", - "\n", - "\n", - "7bc18918-6a85-4916-bf0a-9854a8aa7eaf\n", - "\n", - "4\n", - "\n", - "\n", - "\n", - "Atom_2_7->7bc18918-6a85-4916-bf0a-9854a8aa7eaf\n", - "\n", - "\n", - "cmso.hasCoordinationNumber\n", - "\n", - "\n", - "\n", - "Atom_1_0_Element->cmso.Element\n", - "\n", - "\n", - "type\n", - "\n", - "\n", - "\n", - "ea8f9fba-9ce9-4cb7-ae04-0983dd6de59a\n", - "\n", - "Fe\n", - "\n", - "\n", - "\n", - "Atom_1_0_Element->ea8f9fba-9ce9-4cb7-ae04-0983dd6de59a\n", - "\n", - "\n", - "cmso.hasSymbol\n", + "\n", + "\n", + "a1749588-4368-4d6d-9917-55eb32deaa3f\n", + "\n", + "90.0\n", + "\n", + "\n", + "\n", + "sample_2_LatticeAngle->a1749588-4368-4d6d-9917-55eb32deaa3f\n", + "\n", + "\n", + "cmso.hasAngle_beta\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -5155,7 +3884,7 @@ "
\n", " 0\n", " bcc\n", - " Sample_1\n", + " sample:1\n", "
\n", " \n", "\n", @@ -5163,7 +3892,7 @@ ], "text/plain": [ " hasAltNamevalue AtomicScaleSample\n", - "0 bcc Sample_1" + "0 bcc sample:1" ] }, "execution_count": 11, @@ -5187,7 +3916,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "efde861c-b9dd-4b97-861b-a330bbd95de0", "metadata": {}, "outputs": [], @@ -5205,7 +3934,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "id": "0cb6b043-abb3-41ca-bee7-fb3bf1e7e615", "metadata": { "tags": [] @@ -5217,7 +3946,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "id": "ae884716-a31b-4170-b4d4-9cf8309a6d74", "metadata": { "tags": [] @@ -5259,7 +3988,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "id": "7ba5d551-f85b-4c33-be37-b997feffd7d7", "metadata": { "tags": [] @@ -5271,7 +4000,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "id": "f4a90cbe-cf6a-4285-a0d2-b7525726c6dc", "metadata": { "tags": [] @@ -5283,7 +4012,7 @@ "Atoms(symbols='Fe2', pbc=True, cell=[2.87, 2.87, 2.87])" ] }, - "execution_count": 17, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -5291,6 +4020,14 @@ "source": [ "aseobj" ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5ade0b7-c8dd-486a-b63d-9e819d457237", + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/examples/02_grain_boundaries.ipynb b/examples/02_grain_boundaries.ipynb index eebce9f..5ea42fc 100644 --- a/examples/02_grain_boundaries.ipynb +++ b/examples/02_grain_boundaries.ipynb @@ -451,6 +451,26 @@ "y": 0.3684031499590902, "z": 1.164993050450134 }, + "camera": { + "center": { + "x": 0, + "y": 0, + "z": 0 + }, + "eye": { + "x": 1.5960473450294201, + "y": 1.59604734502942, + "z": 1.5960473450294201 + }, + "projection": { + "type": "perspective" + }, + "up": { + "x": 0, + "y": 0, + "z": 1 + } + }, "xaxis": { "showbackground": false, "showticklabels": false, @@ -1299,11 +1319,11 @@ "width": 700 } }, - "image/png": 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", + "image/png": 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", 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