op2_interface Package

op2_codes Module

pyNastran.op2.op2_interface.op2_codes.determine_sort_bits_meaning(table_code: int, sort_code: int, sort_bits: Tuple[int, int, int]) → Tuple[int, bool, bool]

Value Sort type Data format Random ===== ========= =========== ====== 0 SORT1 Real No 1 SORT1 Complex No 2 SORT2 Real No 3 SORT2 Complex No 4 SORT1 Real Yes 5 SORT2 ??? Yes 6 SORT2 Real Yes

table_code%1000 = function3()

SPCForce = table_code % 1000 (function 3)

pyNastran.op2.op2_interface.op2_codes.get_format_word(format_code: int) → str

pyNastran.op2.op2_interface.op2_codes.get_scode_word(s_code: int, stress_bits: List[int]) → str

pyNastran.op2.op2_interface.op2_codes.get_scode_word_assert(s_code: int, stress_bits: List[int]) → str

pyNastran.op2.op2_interface.op2_codes.get_sort_method_from_table_name(table_name: bytes) → int

helper method

pyNastran.op2.op2_interface.op2_codes.get_table_from_table_code(table_code: int, table_name: str, is_msc: bool = True) → str

translates that a key of say 1 is the ‘OUG - Displacement vector’ table

op2_f06_common Module

class pyNastran.op2.op2_interface.op2_f06_common.OP2_F06_Common

Bases: object

property cbar_force

property cbar_force_10nodes

property cbar_strain_energy

property cbeam_force

property cbeam_force_vu

property cbeam_strain_energy

property cbear_force

property cbend_force

property cbend_strain_energy

property cbush_force

property cbush_strain_energy

property cconeax_force

property cdamp1_force

property cdamp1_strain_energy

property cdamp2_force

property cdamp2_strain_energy

property cdamp3_force

property cdamp3_strain_energy

property cdamp4_force

property cdamp4_strain_energy

property cdum8_strain_energy

property celas1_force

property celas1_strain

property celas1_strain_energy

property celas1_stress

property celas2_force

property celas2_strain

property celas2_strain_energy

property celas2_stress

property celas3_force

property celas3_strain

property celas3_strain_energy

property celas3_stress

property celas4_force

property celas4_strain

property celas4_strain_energy

property celas4_stress

property cfast_force

property cgap_force

property cgap_strain_energy

property chexa_pressure_force

property chexa_strain

property chexa_strain_energy

property chexa_stress

property conm2_strain_energy

property conrod_force

property conrod_strain_energy

property cpenta_pressure_force

property cpenta_strain

property cpenta_strain_energy

property cpenta_stress

property cpyram_pressure_force

property cpyram_strain

property cpyram_strain_energy

property cpyram_stress

property cquad4_force

property cquad4_strain_energy

property cquad8_force

property cquad8_strain_energy

property cquadr_force

property cquadr_strain_energy

property cquadx_strain_energy

property crod_force

property crod_strain_energy

property cshear_force

property cshear_strain_energy

property ctetra_pressure_force

property ctetra_strain

property ctetra_strain_energy

property ctetra_stress

property ctria3_force

property ctria3_strain_energy

property ctria6_force

property ctria6_strain_energy

property ctriar_force

property ctriar_strain_energy

property ctriax6_strain_energy

property ctriax_strain_energy

property ctube_force

property ctube_strain_energy

property cvisc_force

property cweld_force

del_result(result_name)

delattr, but considers sub-objects

property dmig_strain_energy

property genel_strain_energy

get_op2_stats(short=False)

Gets info about the contents of the different attributes of the OP2 class.

Examples

*Detailed OP2 Stats* >>> self.get_op2_stats()

displacements[1]

isubcase = 1 type=RealDisplacementArray nnodes=72 data: [t1, t2, t3, r1, r2, r3] shape=[1, 72, 6] dtype=float32 gridTypes sort1 lsdvmns = [1]

spc_forces[1]

isubcase = 1 type=RealSPCForcesArray nnodes=72 data: [t1, t2, t3, r1, r2, r3] shape=[1, 72, 6] dtype=float32 gridTypes sort1 lsdvmns = [1]

ctetra_stress[1]

type=RealSolidStressArray nelements=186 nnodes=930 nodes_per_element=5 (including centroid) eType, cid data: [1, nnodes, 10] where 10=[oxx, oyy, ozz, txy, tyz, txz, o1, o2, o3, von_mises] data.shape = (1, 930, 10) element name: CTETRA sort1 lsdvmns = [1]

*Appreviated OP2 Stats* >>> self.get_op2_stats(short=True) displacements[1]; RealDisplacementArray; [1, 72, 6]; [t1, t2, t3, r1, r2, r3]

get_result(result_name)

Getattr, but considers sub-objects

Examples

Example 1 >>> self.eigenvectors = get_result(‘eigenvectors’)

Example 2 >>> self.ato.displacements = get_result(‘ato.displacements’)

get_table_types()

Gets the names of the results.

has_result(result_name: str) → bool

checks to see if a result exists

isubcase_name_map = None

a dictionary that maps an integer of the subcaseName to the subcase_id

property rbe1_strain_energy

property rbe3_strain_energy

remove_empty_results()

title = None

BDF Title

property vu_quad_force

property vu_tria_force

property weldc_strain_energy

class pyNastran.op2.op2_interface.op2_f06_common.Op2F06Attributes

Bases: pyNastran.op2.op2_interface.op2_f06_common.OP2_F06_Common

result_set Module

Defines:

• ResultSet(allowed_results)

  • allowed

  • found

  • saved

  • is_saved(result)

  • is_not_saved(result)

  • clear()

  • add(result)

  • remove(results)

  • _found_result(result)

  • update(self, results)

class pyNastran.op2.op2_interface.result_set.ResultSet(allowed_results: List[int], results_map, unused_log)

Bases: object

This class is private storage interface class.

It’s an interface tool between the code and the results the user requests.

add(results: Union[str, List[str]]) → List[str]

adds a list/str of results

clear() → None

clears all the results

is_not_saved(result: str) → bool

checks to see if a result is saved

is_saved(result: str) → bool

checks to see if a result is saved

remove(results: Union[str, List[str]]) → List[str]

removes a list/str of results

update(results: List[str]) → None

write_utils Module

Defines methods for the op2 & hdf5 writer

pyNastran.op2.op2_interface.write_utils.export_to_hdf5(self, group, log)

exports the object to HDF5 format

pyNastran.op2.op2_interface.write_utils.get_complex_fdtype(dtype)

complex64 -> float32; complex128 -> float64

pyNastran.op2.op2_interface.write_utils.set_table3_field(str_fields, ifield, value)

ifield is 1 based

pyNastran.op2.op2_interface.write_utils.to_column_bytes(data_list: List[numpy.ndarray], dtype_out: str, debug: bool = False) → numpy.ndarray

Takes an stackable numpy array of mixed types (e.g., ints/strings) and casts them to the appropriate output datatype (typically float32/float64).

An array is stackable if it’s the same shape (e.g., ints/floats). This requirement is a bit looser for strings (4 characters per 32-bit float)

pyNastran.op2.op2_interface.write_utils.view_dtype(array_obj, dtype)

handles downcasting data

pyNastran.op2.op2_interface.write_utils.view_idtype_as_fdtype(int_array, fdtype)

If we’re downcasting from int64 to float32, we can’t directly go to float32. We need to first go to int32, then to float32.

pyNastran.op2.op2_interface.write_utils.write_table_header(op2_file, fascii, table_name)

Writes the beginning of an op2 table

Parameters

op2_filefile

the op2 file object

table_namestr

the table name to write