IfcOpenShell | Open source IFC library and geometry engine | Augmented Reality library

I am looking a module ifcopenshell, and I see a very weird function:

im trying to make a dataframe out of a list of dictionaries. I am quite new at this whole programming thing, and google just makes me more confused. That is why i am turning to you guys hoping for some assistance. The first two list values (YV01', '3nP3RFgGnBrOfILK4DF2Tp) i would like to have under columns called: Name and GlobalId. I would lie to drop Pset_wallcommon, AC_Pset_RenovationAndPhasing, and BaseQuantities. And use the rest of the keys(if that what they are called) as column names.

It would be great if someone could give me the right push :)

For the record: Im am parsing an Ifc file with the IfcOpenshell package

The data:
['YV01', '3nP3RFgGnBrOfILK4DF2Tp', {'Pset_WallCommon': {'Combustible': False, 'Compartmentation': False, 'ExtendToStructure': False, 'SurfaceSpreadOfFlame': '', 'ThermalTransmittance': 0.0, 'Reference': '', 'AcousticRating': '', 'FireRating': '', 'LoadBearing': False, 'IsExternal': False}, 'AC_Pset_RenovationAndPhasing': {'Renovation Status': 'New'}, 'BaseQuantities': {'Length': 13786.7314346, 'Height': 2700.0, 'Width': 276.0, 'GrossFootprintArea': 3.88131387595, 'NetFootprintArea': 3.88131387595, 'GrossSideArea': 37.9693748734, 'NetSideArea': 37.9693748734, 'GrossVolume': 10.4795474651, 'NetVolume': 10.4795474651}}, 'YV01', '1M4JyBJhXD5xt8fBFUcjUU', {'Pset_WallCommon': {'Combustible': False, 'Compartmentation': False, 'ExtendToStructure': False, 'SurfaceSpreadOfFlame': '', 'ThermalTransmittance': 0.0, 'Reference': '', 'AcousticRating': '', 'FireRating': '', 'LoadBearing': False, 'IsExternal': False}, 'AC_Pset_RenovationAndPhasing': {'Renovation Status': 'New'}, 'BaseQuantities': {'Length': 6166.67382573, 'Height': 2700.0, 'Width': 276.0, 'GrossFootprintArea': 1.6258259759, 'NetFootprintArea': 1.6258259759, 'GrossSideArea': 15.9048193295, 'NetSideArea': 15.9048193295, 'GrossVolume': 4.38973013494, 'NetVolume': 4.38973013494}}

I am working with IFC and I need to extract some data from a .ifc file to be displayed in the Django template.

The template:

im trying to extract all the IfcProduct-shapes from a ifc file and return them (with their corresponding Product) to another part of my program. The problem is that when i try to return a dictionary containing those objects with their corresponding shapes, the program exits with a segmentation fault. While debugging i saw that the data is saved in the data structure but right after returning or while trying to access the data contained in this dict, the debugger exits with a segfault.

I installed ifcopenshell via conda and its running in a ubuntu docker vm.

This is the code im trying to run:

I want to convert an IFC file to a graph database to extract adjacency and accessibility of the spaces in the IFC model. I wanted to use Neo4j, and as a part of this job, I need to extract a Cypher code from the IFC file. I found this code but when I run it, I encounter the error below: