After the model is exported to pyvista, the coordinates are incorrect

[Lian-Po-s-Study-Diary]

After I built the model using gempy3.0, I used the create_depth_maps_from_gempy method of gemgis to output the model to pyvista and found that the coordinates were wrong. It may be because gempy uses the method of normalizing coordinates. How should I restore the model to the actual size and actual position? Or, is there a way to directly output model files in gempy3.0?

[javoha]

Hi, so if understand you correctly the coordinates within gempy are correct, but using the gemgis function does not work? As far as I know gemgis has not been updated to work with gempy v3, so it might take a while until this functionality is available. I would suggest creating an issue in gemgis to ask about the current state. Gempy v3 as of now does not have the functionality to save a full model. You can however export all the raw arrays of the result using .solutions. Just some examples: geo_model.solutions.dc_meshes to retrieve the meshes plotted in vista, or data.grid.regular_grid.values and data.solutions.raw_arrays.lith_block for getting the vertices and lithologies of the grid. Does this help?

[Lian-Po-s-Study-Diary]

Thank you for your help. I successfully restored the model using geo_model. transforme

[AlexanderJuestel]

Here the code to export the meshes with their true XYZ coordinates

# List of Surfaces
surfaces = ['Layer1', 'Layer2']

# Getting a list of all surfaces
list_surfaces = list(geo_model.structural_frame.element_name_id_map.keys())

# Getting indices of provided surfaces
list_indices = [list_surfaces.index(surface) for surface in surfaces]

# Creating empty dict to store data
surfaces_poly = {}

for index in list_indices:

    # Extracting vertices
    vertices = geo_model.input_transform.apply_inverse(geo_model.solutions.raw_arrays.vertices[index])

    # Extracting faces
    faces = np.insert(geo_model.solutions.raw_arrays.edges[index], 0, 3, axis=1).ravel()

    # Creating PolyData from vertices and faces
    surf = pv.PolyData(vertices, faces)

    # Appending depth to PolyData
    surf['Depth [m]'] = geo_model.input_transform.apply_inverse(geo_model.solutions.raw_arrays.vertices[index])[:, 2]

    # Storing mesh, depth values and color values in dict
    surfaces_poly[list_surfaces[index]] = [surf, geo_model.structural_frame.elements_colors[index]]