resultObjects Package

op2_Objects Module

class pyNastran.op2.resultObjects.op2_Objects.BaseScalarObject

Bases: pyNastran.op2.op2Codes.Op2Codes

_write_f06_transient(header, page_stamp, page_num=1, f=None, is_mag_phase=False)

get_stats()

name()

write_f06(header, page_stamp, page_num=1, f=None, is_mag_phase=False)

class pyNastran.op2.resultObjects.op2_Objects.ScalarObject(data_code, isubcase, apply_data_code=True)

Bases: pyNastran.op2.resultObjects.op2_Objects.BaseScalarObject

append_data_member(var_name, value_name)

this appends a data member to a variable that may or may not exist

apply_data_code()

cast_grid_type(grid_type)

converts a grid_type string to an integer

getUnsteadyValue()

getVar(name)

get_data_code()

isImaginary()

print_data_members()

Prints out the “unique” vals of the case. Uses a provided list of data_code[‘dataNames’] to set the values for each subcase. Then populates a list of self.name+’s‘ (by using setattr) with the current value. For example, if the variable name is ‘mode’, we make self.modes. Then to extract the values, we build a list of of the variables that were set like this and then loop over them to print their values.

This way there is no dependency on one result type having [‘mode’] and another result type having [‘mode’,’eigr’,’eigi’].

recast_gridtype_as_string(grid_type)

converts a grid_type integer to a string

set_data_members()

set_var(name, value)

start_data_member(var_name, value_name)

update_data_code(data_code)

update_dt(data_code, dt)

This method is called if the object already exits and a new time/freq/load step is found

tableObject Module