lama/lama_objects Package =====#####===============

This is the pyNastran.op2.tables.lama_eigenvalues.lama_objects.rst file.

lama_objects Module

Inheritance diagram of pyNastran.op2.tables.lama_eigenvalues.lama_objects
class pyNastran.op2.tables.lama_eigenvalues.lama_objects.BucklingEigenvalues(title, table_name, nmodes=0)[source]

Bases: pyNastran.op2.result_objects.op2_objects.BaseScalarObject

add_op2_line(data, imode)[source]
build_dataframe()[source]

creates a pandas dataframe

get_headers() → List[str][source]
get_stats(short: bool = False) → List[str][source]
is_buckling()[source]
property is_complex
property is_real
write_f06(f06_file, header, page_stamp, page_num=1)[source]
class pyNastran.op2.tables.lama_eigenvalues.lama_objects.ComplexEigenvalues(title, table_name, nmodes)[source]

Bases: pyNastran.op2.result_objects.op2_objects.BaseScalarObject

cycle = freq = eigi / (2*pi) radians = eigi damping = atan2(eigi, eigr) * 2

add_op2_line(data, i)[source]
build_dataframe()[source]

creates a pandas dataframe

get_headers() → List[str][source]
get_stats(short: bool = False) → List[str][source]
property is_complex
property is_real
write_f06(f06_file, header, page_stamp, page_num=1)[source]
write_op2(op2_file, op2_ascii, itable, new_result, date, is_mag_phase=False, endian='>')[source]

writes an OP2

class pyNastran.op2.tables.lama_eigenvalues.lama_objects.RealEigenvalues(abs(eigenvalue)) / (2. * pi) radians = sqrt(abs(eigenvalue))[source]

Bases: pyNastran.op2.result_objects.op2_objects.BaseScalarObject

add_f06_data(data)[source]
add_f06_line(data, imode)[source]
build_dataframe()[source]

creates a pandas dataframe

get_headers() → List[str][source]
get_stats(short: bool = False) → List[str][source]
property is_complex
property is_real
write_f06(f06_file, header, page_stamp, page_num=1)[source]
write_op2(op2_file, op2_ascii, itable, new_result, date, is_mag_phase=False, endian='>')[source]

writes an OP2