{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Creating a simple simulation"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Creating a new Feb object"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### The basics"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can create a new FEB file with basically no information. To do so, we can simply call Feb and provide it a version. Right now, we accept versions 2.5 and 3.0."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 1,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: Unknown\n",
                            "-> Control: 0\n",
                            "-> Material: 0\n",
                            "-> Globals: 0\n",
                            "-> Mesh: 0\n",
                            "-> MeshDomains: 0\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 0\n",
                            "-> Output: 0"
                        ]
                    },
                    "execution_count": 1,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from febio_python import Feb\n",
                "from febio_python.feb import Feb40 # for type hinting\n",
                "\n",
                "feb: Feb40 = Feb(version=4.0)\n",
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "You will notices that all contents of the feb file are zero. This means that there is nothing stored in the feb right now. Let's start modifying it. We will begin with simple structures, like module, globals and controls:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 2,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "qn_method {'attr_type': 'BFGS', 'max_ups': 10, 'max_buffer_size': 0, 'cycle_buffer': 1, 'cmax': 100000}\n"
                    ]
                }
            ],
            "source": [
                "feb.setup_module(module_type=\"solid\") # default values\n",
                "feb.setup_globals(T=0, P=0, R=0, Fc=0) # default values\n",
                "feb.setup_controls(analysis=\"STATIC\") # here, you can change basic settings. See docs for more info.\n",
                "feb.setup_output(variables=[\"displacement\", \"Lagrange strain\", \"stress\"]) # default values"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can check the FEB object. It now has some data:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 3,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 0\n",
                            "-> MeshDomains: 0\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 0"
                        ]
                    },
                    "execution_count": 3,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Adding Mesh"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We will now add more interestind data to our feb. Let's start by creating a simple mesh with pyvista:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 4,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": "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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=800x400>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "import pyvista as pv\n",
                "pv.set_jupyter_backend('static')\n",
                "\n",
                "# Create a simple mesh (plane mesh)\n",
                "mesh = pv.Plane(direction=(0,0,1), i_size=2, j_size=1, i_resolution=6, j_resolution=3)\n",
                "mesh = mesh.cast_to_unstructured_grid() # we will be using unstructured grid for FEBio\n",
                "mesh.plot(show_edges=True, window_size=(800, 400), cpos='xy')"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "In Pyvista, an unstructured grid is defined as \"points\" (nodes) and \"cells\" (elements). We can access them like this: "
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 5,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "pyvista_ndarray([[-1.        , -0.5       ,  0.        ],\n",
                            "                 [-0.6666667 , -0.5       ,  0.        ],\n",
                            "                 [-0.33333334, -0.5       ,  0.        ],\n",
                            "                 [ 0.        , -0.5       ,  0.        ],\n",
                            "                 [ 0.33333334, -0.5       ,  0.        ],\n",
                            "                 [ 0.6666667 , -0.5       ,  0.        ],\n",
                            "                 [ 1.        , -0.5       ,  0.        ],\n",
                            "                 [-1.        , -0.16666667,  0.        ],\n",
                            "                 [-0.6666667 , -0.16666667,  0.        ],\n",
                            "                 [-0.33333334, -0.16666667,  0.        ],\n",
                            "                 [ 0.        , -0.16666667,  0.        ],\n",
                            "                 [ 0.33333334, -0.16666667,  0.        ],\n",
                            "                 [ 0.6666667 , -0.16666667,  0.        ],\n",
                            "                 [ 1.        , -0.16666667,  0.        ],\n",
                            "                 [-1.        ,  0.16666667,  0.        ],\n",
                            "                 [-0.6666667 ,  0.16666667,  0.        ],\n",
                            "                 [-0.33333334,  0.16666667,  0.        ],\n",
                            "                 [ 0.        ,  0.16666667,  0.        ],\n",
                            "                 [ 0.33333334,  0.16666667,  0.        ],\n",
                            "                 [ 0.6666667 ,  0.16666667,  0.        ],\n",
                            "                 [ 1.        ,  0.16666667,  0.        ],\n",
                            "                 [-1.        ,  0.5       ,  0.        ],\n",
                            "                 [-0.6666667 ,  0.5       ,  0.        ],\n",
                            "                 [-0.33333334,  0.5       ,  0.        ],\n",
                            "                 [ 0.        ,  0.5       ,  0.        ],\n",
                            "                 [ 0.33333334,  0.5       ,  0.        ],\n",
                            "                 [ 0.6666667 ,  0.5       ,  0.        ],\n",
                            "                 [ 1.        ,  0.5       ,  0.        ]], dtype=float32)"
                        ]
                    },
                    "execution_count": 5,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "mesh.points"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 6,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "{9: array([[ 0,  1,  8,  7],\n",
                            "        [ 1,  2,  9,  8],\n",
                            "        [ 2,  3, 10,  9],\n",
                            "        [ 3,  4, 11, 10],\n",
                            "        [ 4,  5, 12, 11],\n",
                            "        [ 5,  6, 13, 12],\n",
                            "        [ 7,  8, 15, 14],\n",
                            "        [ 8,  9, 16, 15],\n",
                            "        [ 9, 10, 17, 16],\n",
                            "        [10, 11, 18, 17],\n",
                            "        [11, 12, 19, 18],\n",
                            "        [12, 13, 20, 19],\n",
                            "        [14, 15, 22, 21],\n",
                            "        [15, 16, 23, 22],\n",
                            "        [16, 17, 24, 23],\n",
                            "        [17, 18, 25, 24],\n",
                            "        [18, 19, 26, 25],\n",
                            "        [19, 20, 27, 26]], dtype=int64)}"
                        ]
                    },
                    "execution_count": 6,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "mesh.cells_dict"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 7,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Number of nodes: 28\n",
                        "Number of elements: 18\n"
                    ]
                }
            ],
            "source": [
                "print(f\"Number of nodes: {mesh.points.shape[0]}\")\n",
                "print(f\"Number of elements: {mesh.cells_dict[pv.CellType.QUAD].shape[0]}\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 8,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import Nodes, Elements\n",
                "# Create nodes\n",
                "nodes = Nodes(name=\"plane\", coordinates=mesh.points)\n",
                "# Create elements\n",
                "elements = Elements(name=\"plane_elements\",\n",
                "                    mat=\"1\",\n",
                "                    part=\"Part1\",\n",
                "                    type=\"QUAD\",\n",
                "                    connectivity=mesh.cells_dict[pv.CellType.QUAD.value],\n",
                "                    )\n",
                "# Add nodes and elements to the feb object (need to be lists)\n",
                "feb.add_nodes([nodes])\n",
                "feb.add_elements([elements])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can now see that we have two 'Mesh' items:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 2\n",
                            "-> MeshDomains: 0\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 0"
                        ]
                    },
                    "execution_count": 9,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "We can further inspect them:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 10,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "--> Nodes 'plane': 28\n",
                        "--> Elements 'plane_elements': 18\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "feb.inspect_nodes_and_elements()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Modfying nodes/elements"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Oh no! We have defined a too coarse mesh! Let's create a fine mesh and update our feb."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 11,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=800x400>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Create a simple mesh (plane mesh)\n",
                "mesh = pv.Plane(direction=(0,0,1), i_size=2, j_size=1, i_resolution=10, j_resolution=5)\n",
                "mesh = mesh.cast_to_unstructured_grid() # we will be using unstructured grid for FEBio\n",
                "mesh.plot(show_edges=True, window_size=(800, 400), cpos='xy')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 12,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Number of nodes: 66\n",
                        "Number of elements: 50\n"
                    ]
                }
            ],
            "source": [
                "print(f\"Number of nodes: {mesh.points.shape[0]}\")\n",
                "print(f\"Number of elements: {mesh.cells_dict[pv.CellType.QUAD].shape[0]}\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Note that if we use the function \"ADD\" again, it will add the new nodes to the existing nodes in the same mesh. This is used when we are creating mesh in an iterative process. Let's try:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 13,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "--> Nodes 'plane': 94\n",
                        "--> Elements 'plane_elements': 68\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "# Create nodes\n",
                "nodes = Nodes(name=\"plane\", coordinates=mesh.points)\n",
                "# Create elements\n",
                "elements = Elements(name=\"plane_elements\",\n",
                "                    mat=\"1\",\n",
                "                    part=\"Part1\",\n",
                "                    type=\"QUAD\",\n",
                "                    connectivity=mesh.cells_dict[pv.CellType.QUAD.value],\n",
                "                    )\n",
                "# Add nodes and elements to the feb object (need to be lists)\n",
                "feb.add_nodes([nodes])\n",
                "feb.add_elements([elements])\n",
                "# Inspect nodes and elements\n",
                "feb.inspect_nodes_and_elements()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "You can see that it had inscrease the number of nodes/elements. But this is not what we are looking for.\n",
                "Let's clean the feb data and add it again:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 14,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 0\n",
                            "-> MeshDomains: 0\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 0"
                        ]
                    },
                    "execution_count": 14,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "feb.clear_nodes()\n",
                "feb.clear_elements()\n",
                "feb"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 15,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "--> Nodes 'plane': 66\n",
                        "--> Elements 'plane_elements': 50\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "feb.add_nodes([nodes])\n",
                "feb.add_elements([elements])\n",
                "feb.inspect_nodes_and_elements()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Is there another method? We need triangle elements!! Also, What if we have multiple nodes or elements and we do not want to delete all of them and just update the existing ones? Let's create another mesh and update the 'plane' mesh in the feb file."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 16,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=800x400>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "# Create a simple mesh (plane mesh)\n",
                "mesh = pv.Plane(direction=(0,0,1), i_size=2, j_size=1, i_resolution=20, j_resolution=10)\n",
                "mesh = mesh.triangulate() # we will be using unstructured grid for FEBio\n",
                "mesh = mesh.cast_to_unstructured_grid() # we will be using unstructured grid for FEBio\n",
                "mesh.plot(show_edges=True, window_size=(800, 400), cpos='xy')"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 17,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Number of nodes: 231\n",
                        "Number of elements: 400\n"
                    ]
                }
            ],
            "source": [
                "print(f\"Number of nodes: {mesh.points.shape[0]}\")\n",
                "print(f\"Number of elements: {mesh.cells_dict[pv.CellType.TRIANGLE].shape[0]}\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 18,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "--> Nodes 'plane': 231\n",
                        "--> Elements 'plane_elements': 400\n",
                        "\n"
                    ]
                }
            ],
            "source": [
                "# Create nodes\n",
                "nodes = Nodes(name=\"plane\", coordinates=mesh.points)\n",
                "# Create elements\n",
                "elements = Elements(name=\"plane_elements\",\n",
                "                    mat=\"1\",\n",
                "                    part=\"Part1\",\n",
                "                    type=\"TRIANGLE\",\n",
                "                    connectivity=mesh.cells_dict[pv.CellType.TRIANGLE.value],\n",
                "                    )\n",
                "# Add nodes and elements to the feb object (need to be lists)\n",
                "feb.update_nodes([nodes])\n",
                "feb.update_elements([elements])\n",
                "# Inspect nodes and elements\n",
                "feb.inspect_nodes_and_elements()"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Adding Mesh Domains"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import ShellDomain\n",
                "\n",
                "# create a shell domain\n",
                "shell = ShellDomain(\n",
                "    id=1,\n",
                "    name=\"plane_elements\", # this must match one of the element names\n",
                "    mat=\"plane material\", # this must match one of the material names\n",
                "    type=\"elastic-shell\", # type of shell element\n",
                "    shell_normal_nodal = 1, # normal to the shell\n",
                "    shell_thickness=0.01, # thickness of the shell\n",
                "    )\n",
                "feb.add_mesh_domains([shell])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Adding Load"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Let's try adding a shear load to the mesh:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 20,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 3\n",
                            "-> MeshDomains: 1\n",
                            "-> MeshData: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 1\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 1"
                        ]
                    },
                    "execution_count": 20,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "import numpy as np\n",
                "from febio_python.core import NodalLoad, LoadCurve, NodeSet\n",
                "\n",
                "# First, let's select the nodeset to apply the load.\n",
                "# we will add load to the nodes at the right edge of the mesh\n",
                "x_values = mesh.points[:, 0]\n",
                "selected_nodes = np.where(x_values == x_values.max())[0]\n",
                "\n",
                "# Create a nodeset\n",
                "nodeset = NodeSet(name=\"right_edge\", ids=selected_nodes)\n",
                "# Create a nodal load\n",
                "shear_load = NodalLoad(node_set=\"right_edge\",\n",
                "                       dof=\"y\",\n",
                "                       scale=-25.0, # negative value means force is pointing in the negative direction\n",
                "                       load_curve=1,\n",
                "                       )\n",
                "# Create a load curve\n",
                "load_curve = LoadCurve(id=1, interpolate_type=\"smooth\", data=[(0, 0), (1, 1)])\n",
                "\n",
                "# Add nodeset, nodal load and load curve to the feb object\n",
                "feb.add_node_sets([nodeset])\n",
                "feb.add_nodal_loads([shear_load])\n",
                "feb.add_load_curves([load_curve])\n",
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Let's try to add a non-linear load now. Pointing in the x-direction"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 21,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<Figure size 640x480 with 1 Axes>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                },
                {
                    "data": {
                        "text/plain": [
                            "Feb40(4.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 12\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 3\n",
                            "-> MeshDomains: 1\n",
                            "-> MeshData: 1\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 2\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 1"
                        ]
                    },
                    "execution_count": 21,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "# first, get the y position of the nodes\n",
                "y_values = mesh.points[selected_nodes, 1]\n",
                "# then, normalize the y values, so that we can use them as 'maps'\n",
                "y_values = (y_values - y_values.min()) / (y_values.max() - y_values.min())\n",
                "# now, create a normal distribution curve using the y values, centered at\n",
                "# middle of the y values (0.5)\n",
                "tensile_load_map = np.exp(-((y_values - 0.5) ** 2) / 0.1)\n",
                "# plot the load curve\n",
                "import matplotlib.pyplot as plt\n",
                "plt.plot(y_values, tensile_load_map)\n",
                "plt.xlabel(\"Normalized y position\")\n",
                "plt.ylabel(\"Load curve\")\n",
                "plt.title(\"Load curve for the shear load\")\n",
                "plt.show()\n",
                "\n",
                "# Create a nodal load\n",
                "tensile_load = NodalLoad(node_set=\"right_edge\",\n",
                "                         dof=\"x\",\n",
                "                       scale=100.0*tensile_load_map, #\n",
                "                       load_curve=1,\n",
                "                       )\n",
                "feb.add_nodal_loads([tensile_load])\n",
                "feb"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Add boundary condition"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Now, let's fix the left boundary of the mesh. We will be applying fixed condition to restrain the mesh in all coordinates. In addition, since this is a simple plane mesh, we will apply constraint in z (for all nodes) and rotation (shell constrain) for all the left nodes."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 22,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import ZeroDisplacementCondition, ZeroShellDisplacementCondition\n",
                "\n",
                "# Fix the left edge of the mesh\n",
                "x_values = mesh.points[:, 0]\n",
                "selected_nodes = np.where(x_values == x_values.min())[0]\n",
                "all_nodes = np.arange(mesh.points.shape[0]) # used to fix all nodes in the z direction\n",
                "# Create nodesets\n",
                "left_nodeset = NodeSet(name=\"left_edge\", ids=selected_nodes)\n",
                "all_nodeset = NodeSet(name=\"all_nodes\", ids=all_nodes)\n",
                "# Create a fix condition\n",
                "left_fix_condition = ZeroDisplacementCondition(dof=\"x,y,z\", node_set=\"left_edge\")\n",
                "left_shell_fix_condition = ZeroShellDisplacementCondition(dof=\"sx,sy,sz\", node_set=\"left_edge\")\n",
                "# we will\n",
                "all_fix_condition = ZeroDisplacementCondition(dof=\"z\", node_set=\"all_nodes\")\n",
                "\n",
                "# Add nodeset and fix condition to the feb object\n",
                "feb.add_node_sets([left_nodeset, all_nodeset])\n",
                "feb.add_boundary_conditions([left_fix_condition, left_shell_fix_condition, all_fix_condition])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Adding Material"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Now, let's add a material. We will use simple Isotropic-Elastic."
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 23,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import Material\n",
                "\n",
                "mat = Material(\n",
                "    id=1,\n",
                "    type=\"isotropic elastic\",\n",
                "    name=\"plane material\",\n",
                "    parameters=dict(\n",
                "        E=1e6,\n",
                "        v=0.3,\n",
                "        density=1,\n",
                "    )\n",
                ")\n",
                "\n",
                "feb.add_materials([mat])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Add Element data"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 24,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import ElementData\n",
                "\n",
                "shell_thickness = ElementData(\n",
                "    name=\"Element thickness\",\n",
                "    elem_set=\"plane_elements\",\n",
                "    data=np.full((mesh.n_cells, 3), 0.01),\n",
                "    ids=np.arange(0, mesh.n_cells + 1),\n",
                ")\n",
                "feb.add_element_data([shell_thickness])"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Running FEB"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Uncomment and run the code below:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 25,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Starting process for: plane_mesh_v40.feb\n",
                        "Waiting for process to complete...\n",
                        "Completed process for: plane_mesh_v40.feb\n"
                    ]
                }
            ],
            "source": [
                "# from febio_python.feb import run\n",
                "# # Save the FEB file\n",
                "# feb.write(\"plane_mesh_v40.feb\")\n",
                "# run(\"plane_mesh_v40.feb\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Reading XPLT"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 26,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Xplt object [2049922858000]:\n",
                            "=== xplt_mesh: ===\n",
                            "-Nodes:\n",
                            "--->None: (231, 3)\n",
                            "-Elements:\n",
                            "--->None: (400, 4)\n",
                            "=== States: ===\n",
                            "-Nodes:\n",
                            "--->displacement: (11, 231, 3)\n",
                            "-Elements:\n",
                            "--->Lagrange strain: (11, 400, 6)\n",
                            "--->stress: (11, 400, 6)\n",
                            "-Surfaces:"
                        ]
                    },
                    "execution_count": 26,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from febio_python import Xplt\n",
                "\n",
                "xplt = Xplt(\"plane_mesh_v40.xplt\")\n",
                "xplt"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Example properties"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 27,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "[Nodes(name=None, coordinates=array([[-1.        , -0.5       ,  0.        ],\n",
                            "        [-0.89999998, -0.5       ,  0.        ],\n",
                            "        [-0.80000001, -0.5       ,  0.        ],\n",
                            "        [-0.69999999, -0.5       ,  0.        ],\n",
                            "        [-0.60000002, -0.5       ,  0.        ],\n",
                            "        [-0.5       , -0.5       ,  0.        ],\n",
                            "        [-0.40000001, -0.5       ,  0.        ],\n",
                            "        [-0.30000001, -0.5       ,  0.        ],\n",
                            "        [-0.2       , -0.5       ,  0.        ],\n",
                            "        [-0.1       , -0.5       ,  0.        ],\n",
                            "        [ 0.        , -0.5       ,  0.        ],\n",
                            "        [ 0.1       , -0.5       ,  0.        ],\n",
                            "        [ 0.2       , -0.5       ,  0.        ],\n",
                            "        [ 0.30000001, -0.5       ,  0.        ],\n",
                            "        [ 0.40000001, -0.5       ,  0.        ],\n",
                            "        [ 0.5       , -0.5       ,  0.        ],\n",
                            "        [ 0.60000002, -0.5       ,  0.        ],\n",
                            "        [ 0.69999999, -0.5       ,  0.        ],\n",
                            "        [ 0.80000001, -0.5       ,  0.        ],\n",
                            "        [ 0.89999998, -0.5       ,  0.        ],\n",
                            "        [ 1.        , -0.5       ,  0.        ],\n",
                            "        [-1.        , -0.40000001,  0.        ],\n",
                            "        [-0.89999998, -0.40000001,  0.        ],\n",
                            "        [-0.80000001, -0.40000001,  0.        ],\n",
                            "        [-0.69999999, -0.40000001,  0.        ],\n",
                            "        [-0.60000002, -0.40000001,  0.        ],\n",
                            "        [-0.5       , -0.40000001,  0.        ],\n",
                            "        [-0.40000001, -0.40000001,  0.        ],\n",
                            "        [-0.30000001, -0.40000001,  0.        ],\n",
                            "        [-0.2       , -0.40000001,  0.        ],\n",
                            "        [-0.1       , -0.40000001,  0.        ],\n",
                            "        [ 0.        , -0.40000001,  0.        ],\n",
                            "        [ 0.1       , -0.40000001,  0.        ],\n",
                            "        [ 0.2       , -0.40000001,  0.        ],\n",
                            "        [ 0.30000001, -0.40000001,  0.        ],\n",
                            "        [ 0.40000001, -0.40000001,  0.        ],\n",
                            "        [ 0.5       , -0.40000001,  0.        ],\n",
                            "        [ 0.60000002, -0.40000001,  0.        ],\n",
                            "        [ 0.69999999, -0.40000001,  0.        ],\n",
                            "        [ 0.80000001, -0.40000001,  0.        ],\n",
                            "        [ 0.89999998, -0.40000001,  0.        ],\n",
                            "        [ 1.        , -0.40000001,  0.        ],\n",
                            "        [-1.        , -0.30000001,  0.        ],\n",
                            "        [-0.89999998, -0.30000001,  0.        ],\n",
                            "        [-0.80000001, -0.30000001,  0.        ],\n",
                            "        [-0.69999999, -0.30000001,  0.        ],\n",
                            "        [-0.60000002, -0.30000001,  0.        ],\n",
                            "        [-0.5       , -0.30000001,  0.        ],\n",
                            "        [-0.40000001, -0.30000001,  0.        ],\n",
                            "        [-0.30000001, -0.30000001,  0.        ],\n",
                            "        [-0.2       , -0.30000001,  0.        ],\n",
                            "        [-0.1       , -0.30000001,  0.        ],\n",
                            "        [ 0.        , -0.30000001,  0.        ],\n",
                            "        [ 0.1       , -0.30000001,  0.        ],\n",
                            "        [ 0.2       , -0.30000001,  0.        ],\n",
                            "        [ 0.30000001, -0.30000001,  0.        ],\n",
                            "        [ 0.40000001, -0.30000001,  0.        ],\n",
                            "        [ 0.5       , -0.30000001,  0.        ],\n",
                            "        [ 0.60000002, -0.30000001,  0.        ],\n",
                            "        [ 0.69999999, -0.30000001,  0.        ],\n",
                            "        [ 0.80000001, -0.30000001,  0.        ],\n",
                            "        [ 0.89999998, -0.30000001,  0.        ],\n",
                            "        [ 1.        , -0.30000001,  0.        ],\n",
                            "        [-1.        , -0.2       ,  0.        ],\n",
                            "        [-0.89999998, -0.2       ,  0.        ],\n",
                            "        [-0.80000001, -0.2       ,  0.        ],\n",
                            "        [-0.69999999, -0.2       ,  0.        ],\n",
                            "        [-0.60000002, -0.2       ,  0.        ],\n",
                            "        [-0.5       , -0.2       ,  0.        ],\n",
                            "        [-0.40000001, -0.2       ,  0.        ],\n",
                            "        [-0.30000001, -0.2       ,  0.        ],\n",
                            "        [-0.2       , -0.2       ,  0.        ],\n",
                            "        [-0.1       , -0.2       ,  0.        ],\n",
                            "        [ 0.        , -0.2       ,  0.        ],\n",
                            "        [ 0.1       , -0.2       ,  0.        ],\n",
                            "        [ 0.2       , -0.2       ,  0.        ],\n",
                            "        [ 0.30000001, -0.2       ,  0.        ],\n",
                            "        [ 0.40000001, -0.2       ,  0.        ],\n",
                            "        [ 0.5       , -0.2       ,  0.        ],\n",
                            "        [ 0.60000002, -0.2       ,  0.        ],\n",
                            "        [ 0.69999999, -0.2       ,  0.        ],\n",
                            "        [ 0.80000001, -0.2       ,  0.        ],\n",
                            "        [ 0.89999998, -0.2       ,  0.        ],\n",
                            "        [ 1.        , -0.2       ,  0.        ],\n",
                            "        [-1.        , -0.1       ,  0.        ],\n",
                            "        [-0.89999998, -0.1       ,  0.        ],\n",
                            "        [-0.80000001, -0.1       ,  0.        ],\n",
                            "        [-0.69999999, -0.1       ,  0.        ],\n",
                            "        [-0.60000002, -0.1       ,  0.        ],\n",
                            "        [-0.5       , -0.1       ,  0.        ],\n",
                            "        [-0.40000001, -0.1       ,  0.        ],\n",
                            "        [-0.30000001, -0.1       ,  0.        ],\n",
                            "        [-0.2       , -0.1       ,  0.        ],\n",
                            "        [-0.1       , -0.1       ,  0.        ],\n",
                            "        [ 0.        , -0.1       ,  0.        ],\n",
                            "        [ 0.1       , -0.1       ,  0.        ],\n",
                            "        [ 0.2       , -0.1       ,  0.        ],\n",
                            "        [ 0.30000001, -0.1       ,  0.        ],\n",
                            "        [ 0.40000001, -0.1       ,  0.        ],\n",
                            "        [ 0.5       , -0.1       ,  0.        ],\n",
                            "        [ 0.60000002, -0.1       ,  0.        ],\n",
                            "        [ 0.69999999, -0.1       ,  0.        ],\n",
                            "        [ 0.80000001, -0.1       ,  0.        ],\n",
                            "        [ 0.89999998, -0.1       ,  0.        ],\n",
                            "        [ 1.        , -0.1       ,  0.        ],\n",
                            "        [-1.        ,  0.        ,  0.        ],\n",
                            "        [-0.89999998,  0.        ,  0.        ],\n",
                            "        [-0.80000001,  0.        ,  0.        ],\n",
                            "        [-0.69999999,  0.        ,  0.        ],\n",
                            "        [-0.60000002,  0.        ,  0.        ],\n",
                            "        [-0.5       ,  0.        ,  0.        ],\n",
                            "        [-0.40000001,  0.        ,  0.        ],\n",
                            "        [-0.30000001,  0.        ,  0.        ],\n",
                            "        [-0.2       ,  0.        ,  0.        ],\n",
                            "        [-0.1       ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.1       ,  0.        ,  0.        ],\n",
                            "        [ 0.2       ,  0.        ,  0.        ],\n",
                            "        [ 0.30000001,  0.        ,  0.        ],\n",
                            "        [ 0.40000001,  0.        ,  0.        ],\n",
                            "        [ 0.5       ,  0.        ,  0.        ],\n",
                            "        [ 0.60000002,  0.        ,  0.        ],\n",
                            "        [ 0.69999999,  0.        ,  0.        ],\n",
                            "        [ 0.80000001,  0.        ,  0.        ],\n",
                            "        [ 0.89999998,  0.        ,  0.        ],\n",
                            "        [ 1.        ,  0.        ,  0.        ],\n",
                            "        [-1.        ,  0.1       ,  0.        ],\n",
                            "        [-0.89999998,  0.1       ,  0.        ],\n",
                            "        [-0.80000001,  0.1       ,  0.        ],\n",
                            "        [-0.69999999,  0.1       ,  0.        ],\n",
                            "        [-0.60000002,  0.1       ,  0.        ],\n",
                            "        [-0.5       ,  0.1       ,  0.        ],\n",
                            "        [-0.40000001,  0.1       ,  0.        ],\n",
                            "        [-0.30000001,  0.1       ,  0.        ],\n",
                            "        [-0.2       ,  0.1       ,  0.        ],\n",
                            "        [-0.1       ,  0.1       ,  0.        ],\n",
                            "        [ 0.        ,  0.1       ,  0.        ],\n",
                            "        [ 0.1       ,  0.1       ,  0.        ],\n",
                            "        [ 0.2       ,  0.1       ,  0.        ],\n",
                            "        [ 0.30000001,  0.1       ,  0.        ],\n",
                            "        [ 0.40000001,  0.1       ,  0.        ],\n",
                            "        [ 0.5       ,  0.1       ,  0.        ],\n",
                            "        [ 0.60000002,  0.1       ,  0.        ],\n",
                            "        [ 0.69999999,  0.1       ,  0.        ],\n",
                            "        [ 0.80000001,  0.1       ,  0.        ],\n",
                            "        [ 0.89999998,  0.1       ,  0.        ],\n",
                            "        [ 1.        ,  0.1       ,  0.        ],\n",
                            "        [-1.        ,  0.2       ,  0.        ],\n",
                            "        [-0.89999998,  0.2       ,  0.        ],\n",
                            "        [-0.80000001,  0.2       ,  0.        ],\n",
                            "        [-0.69999999,  0.2       ,  0.        ],\n",
                            "        [-0.60000002,  0.2       ,  0.        ],\n",
                            "        [-0.5       ,  0.2       ,  0.        ],\n",
                            "        [-0.40000001,  0.2       ,  0.        ],\n",
                            "        [-0.30000001,  0.2       ,  0.        ],\n",
                            "        [-0.2       ,  0.2       ,  0.        ],\n",
                            "        [-0.1       ,  0.2       ,  0.        ],\n",
                            "        [ 0.        ,  0.2       ,  0.        ],\n",
                            "        [ 0.1       ,  0.2       ,  0.        ],\n",
                            "        [ 0.2       ,  0.2       ,  0.        ],\n",
                            "        [ 0.30000001,  0.2       ,  0.        ],\n",
                            "        [ 0.40000001,  0.2       ,  0.        ],\n",
                            "        [ 0.5       ,  0.2       ,  0.        ],\n",
                            "        [ 0.60000002,  0.2       ,  0.        ],\n",
                            "        [ 0.69999999,  0.2       ,  0.        ],\n",
                            "        [ 0.80000001,  0.2       ,  0.        ],\n",
                            "        [ 0.89999998,  0.2       ,  0.        ],\n",
                            "        [ 1.        ,  0.2       ,  0.        ],\n",
                            "        [-1.        ,  0.30000001,  0.        ],\n",
                            "        [-0.89999998,  0.30000001,  0.        ],\n",
                            "        [-0.80000001,  0.30000001,  0.        ],\n",
                            "        [-0.69999999,  0.30000001,  0.        ],\n",
                            "        [-0.60000002,  0.30000001,  0.        ],\n",
                            "        [-0.5       ,  0.30000001,  0.        ],\n",
                            "        [-0.40000001,  0.30000001,  0.        ],\n",
                            "        [-0.30000001,  0.30000001,  0.        ],\n",
                            "        [-0.2       ,  0.30000001,  0.        ],\n",
                            "        [-0.1       ,  0.30000001,  0.        ],\n",
                            "        [ 0.        ,  0.30000001,  0.        ],\n",
                            "        [ 0.1       ,  0.30000001,  0.        ],\n",
                            "        [ 0.2       ,  0.30000001,  0.        ],\n",
                            "        [ 0.30000001,  0.30000001,  0.        ],\n",
                            "        [ 0.40000001,  0.30000001,  0.        ],\n",
                            "        [ 0.5       ,  0.30000001,  0.        ],\n",
                            "        [ 0.60000002,  0.30000001,  0.        ],\n",
                            "        [ 0.69999999,  0.30000001,  0.        ],\n",
                            "        [ 0.80000001,  0.30000001,  0.        ],\n",
                            "        [ 0.89999998,  0.30000001,  0.        ],\n",
                            "        [ 1.        ,  0.30000001,  0.        ],\n",
                            "        [-1.        ,  0.40000001,  0.        ],\n",
                            "        [-0.89999998,  0.40000001,  0.        ],\n",
                            "        [-0.80000001,  0.40000001,  0.        ],\n",
                            "        [-0.69999999,  0.40000001,  0.        ],\n",
                            "        [-0.60000002,  0.40000001,  0.        ],\n",
                            "        [-0.5       ,  0.40000001,  0.        ],\n",
                            "        [-0.40000001,  0.40000001,  0.        ],\n",
                            "        [-0.30000001,  0.40000001,  0.        ],\n",
                            "        [-0.2       ,  0.40000001,  0.        ],\n",
                            "        [-0.1       ,  0.40000001,  0.        ],\n",
                            "        [ 0.        ,  0.40000001,  0.        ],\n",
                            "        [ 0.1       ,  0.40000001,  0.        ],\n",
                            "        [ 0.2       ,  0.40000001,  0.        ],\n",
                            "        [ 0.30000001,  0.40000001,  0.        ],\n",
                            "        [ 0.40000001,  0.40000001,  0.        ],\n",
                            "        [ 0.5       ,  0.40000001,  0.        ],\n",
                            "        [ 0.60000002,  0.40000001,  0.        ],\n",
                            "        [ 0.69999999,  0.40000001,  0.        ],\n",
                            "        [ 0.80000001,  0.40000001,  0.        ],\n",
                            "        [ 0.89999998,  0.40000001,  0.        ],\n",
                            "        [ 1.        ,  0.40000001,  0.        ],\n",
                            "        [-1.        ,  0.5       ,  0.        ],\n",
                            "        [-0.89999998,  0.5       ,  0.        ],\n",
                            "        [-0.80000001,  0.5       ,  0.        ],\n",
                            "        [-0.69999999,  0.5       ,  0.        ],\n",
                            "        [-0.60000002,  0.5       ,  0.        ],\n",
                            "        [-0.5       ,  0.5       ,  0.        ],\n",
                            "        [-0.40000001,  0.5       ,  0.        ],\n",
                            "        [-0.30000001,  0.5       ,  0.        ],\n",
                            "        [-0.2       ,  0.5       ,  0.        ],\n",
                            "        [-0.1       ,  0.5       ,  0.        ],\n",
                            "        [ 0.        ,  0.5       ,  0.        ],\n",
                            "        [ 0.1       ,  0.5       ,  0.        ],\n",
                            "        [ 0.2       ,  0.5       ,  0.        ],\n",
                            "        [ 0.30000001,  0.5       ,  0.        ],\n",
                            "        [ 0.40000001,  0.5       ,  0.        ],\n",
                            "        [ 0.5       ,  0.5       ,  0.        ],\n",
                            "        [ 0.60000002,  0.5       ,  0.        ],\n",
                            "        [ 0.69999999,  0.5       ,  0.        ],\n",
                            "        [ 0.80000001,  0.5       ,  0.        ],\n",
                            "        [ 0.89999998,  0.5       ,  0.        ],\n",
                            "        [ 1.        ,  0.5       ,  0.        ]]), ids=array([  1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,\n",
                            "         14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,  26,\n",
                            "         27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,  39,\n",
                            "         40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,  51,  52,\n",
                            "         53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,  64,  65,\n",
                            "         66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,  78,\n",
                            "         79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,  91,\n",
                            "         92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103, 104,\n",
                            "        105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117,\n",
                            "        118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130,\n",
                            "        131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,\n",
                            "        144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156,\n",
                            "        157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169,\n",
                            "        170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182,\n",
                            "        183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195,\n",
                            "        196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,\n",
                            "        209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221,\n",
                            "        222, 223, 224, 225, 226, 227, 228, 229, 230, 231]))]"
                        ]
                    },
                    "execution_count": 27,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.nodes # list of Nodes objects"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 28,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "[Elements(name=None, type='TRIANGLE', connectivity=array([[  1,   0,   1,  21],\n",
                            "        [  2,  22,  21,   1],\n",
                            "        [  3,   1,   2,  22],\n",
                            "        ...,\n",
                            "        [398, 229, 228, 208],\n",
                            "        [399, 208, 209, 229],\n",
                            "        [400, 230, 229, 209]]), ids=array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
                            "         13,  14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,\n",
                            "         26,  27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,\n",
                            "         39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,  51,\n",
                            "         52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,  64,\n",
                            "         65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,\n",
                            "         78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,\n",
                            "         91,  92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103,\n",
                            "        104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,\n",
                            "        117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,\n",
                            "        130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,\n",
                            "        143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155,\n",
                            "        156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168,\n",
                            "        169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,\n",
                            "        182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n",
                            "        195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207,\n",
                            "        208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220,\n",
                            "        221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233,\n",
                            "        234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246,\n",
                            "        247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259,\n",
                            "        260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272,\n",
                            "        273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285,\n",
                            "        286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298,\n",
                            "        299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311,\n",
                            "        312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324,\n",
                            "        325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337,\n",
                            "        338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350,\n",
                            "        351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363,\n",
                            "        364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376,\n",
                            "        377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389,\n",
                            "        390, 391, 392, 393, 394, 395, 396, 397, 398, 399]), mat=None, part=1)]"
                        ]
                    },
                    "execution_count": 28,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.elements # list of Elements objects"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 29,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "States(nodes=[StateData(name='displacement', dom=0, data=array([[[ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.00220876, -0.00138848,  0.        ],\n",
                            "        [-0.0044777 , -0.00291381,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.03501934, -0.07832458,  0.        ],\n",
                            "        [ 0.03535859, -0.08439115,  0.        ],\n",
                            "        [ 0.03562101, -0.09075736,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.0040143 , -0.00251072,  0.        ],\n",
                            "        [-0.00812449, -0.00527578,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.06155637, -0.14323959,  0.        ],\n",
                            "        [ 0.06199993, -0.15412821,  0.        ],\n",
                            "        [ 0.06229447, -0.16563064,  0.        ]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.0102166 , -0.00648645,  0.        ],\n",
                            "        [-0.02036276, -0.01388767,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.14947748, -0.3811367 ,  0.        ],\n",
                            "        [ 0.14983469, -0.40797347,  0.        ],\n",
                            "        [ 0.14956348, -0.4375061 ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01080656, -0.00690494,  0.        ],\n",
                            "        [-0.02147301, -0.01484216,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.15917969, -0.40684003,  0.        ],\n",
                            "        [ 0.15957509, -0.43523568,  0.        ],\n",
                            "        [ 0.15924646, -0.46669516,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01131956, -0.00728358,  0.        ],\n",
                            "        [-0.02242204, -0.01571946,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.16826567, -0.4302698 ,  0.        ],\n",
                            "        [ 0.16872025, -0.46006113,  0.        ],\n",
                            "        [ 0.16835007, -0.49328837,  0.        ]]], dtype=float32))], elements=[StateData(name='Lagrange strain', dom=1, data=array([[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        ...,\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00]],\n",
                            "\n",
                            "       [[-2.17677094e-02,  0.00000000e+00,  3.74327949e-03,\n",
                            "         -6.93582371e-03, -4.37995950e-05, -2.12121537e-04],\n",
                            "        [-1.44304177e-02,  4.09667706e-03,  5.80157526e-03,\n",
                            "         -1.21883943e-03,  5.60197332e-05, -6.63803366e-05],\n",
                            "        [-2.22795270e-02,  4.09667706e-03,  7.83721078e-03,\n",
                            "         -3.98436794e-03,  3.43527390e-05,  1.65543141e-04],\n",
                            "        ...,\n",
                            "        [ 5.26422681e-03, -1.79072132e-03, -1.32321590e-03,\n",
                            "         -1.09698484e-03,  1.35720460e-04, -9.22642721e-05],\n",
                            "        [ 3.76291759e-03, -1.79072132e-03, -6.20350009e-04,\n",
                            "         -1.20366516e-03,  3.88481822e-05,  1.51849181e-05],\n",
                            "        [ 4.56744991e-03, -4.31843102e-03, -2.29693338e-04,\n",
                            "         -2.06525391e-03, -6.21005311e-04,  2.85787100e-04]],\n",
                            "\n",
                            "       [[-3.90582196e-02,  0.00000000e+00,  6.69534458e-03,\n",
                            "         -1.25417085e-02, -7.91431958e-05, -3.80462821e-04],\n",
                            "        [-2.57335734e-02,  7.29539804e-03,  1.03692589e-02,\n",
                            "         -2.23168731e-03,  1.01221529e-04, -1.18771379e-04],\n",
                            "        [-3.98102477e-02,  7.29539804e-03,  1.40054580e-02,\n",
                            "         -7.24549964e-03,  6.26781766e-05,  2.96983548e-04],\n",
                            "        ...,\n",
                            "        [ 1.04291877e-02, -3.59612866e-03, -2.62246048e-03,\n",
                            "         -1.94583589e-03,  2.62564688e-04, -1.94546839e-04],\n",
                            "        [ 7.59910978e-03, -3.59612866e-03, -1.25865580e-03,\n",
                            "         -2.20169220e-03,  7.99803020e-05,  2.65620838e-05],\n",
                            "        [ 9.37132537e-03, -8.74294899e-03, -5.08905330e-04,\n",
                            "         -3.88899446e-03, -1.21698214e-03,  6.25088112e-04]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-9.49234068e-02,  0.00000000e+00,  1.60137974e-02,\n",
                            "         -3.24016511e-02, -2.04027048e-04, -9.26311302e-04],\n",
                            "        [-5.90482466e-02,  1.65700149e-02,  2.44058762e-02,\n",
                            "         -6.17906218e-03,  2.60786124e-04, -2.74899823e-04],\n",
                            "        [-9.34232473e-02,  1.65700149e-02,  3.28529291e-02,\n",
                            "         -1.95991900e-02,  1.65617355e-04,  7.16031471e-04],\n",
                            "        ...,\n",
                            "        [ 3.98563445e-02, -1.43719194e-02, -9.90771782e-03,\n",
                            "         -4.43919096e-03,  9.21695610e-04, -8.83027446e-04],\n",
                            "        [ 3.06086857e-02, -1.43719194e-02, -5.02582826e-03,\n",
                            "         -6.17014943e-03,  3.49059643e-04,  5.59888649e-05],\n",
                            "        [ 3.98842469e-02, -3.57679091e-02, -2.52990308e-03,\n",
                            "         -1.22303627e-02, -4.48134402e-03,  3.11454432e-03]],\n",
                            "\n",
                            "       [[-9.99256521e-02,  0.00000000e+00,  1.68171786e-02,\n",
                            "         -3.44921164e-02, -2.17095192e-04, -9.75765346e-04],\n",
                            "        [-6.14328049e-02,  1.72004160e-02,  2.55326405e-02,\n",
                            "         -6.64548576e-03,  2.77563930e-04, -2.86216731e-04],\n",
                            "        [-9.76665765e-02,  1.72004160e-02,  3.43420096e-02,\n",
                            "         -2.10359637e-02,  1.76507951e-04,  7.52359221e-04],\n",
                            "        ...,\n",
                            "        [ 4.45817485e-02, -1.61659475e-02, -1.10525191e-02,\n",
                            "         -4.63817036e-03,  1.02229952e-03, -1.00125966e-03],\n",
                            "        [ 3.43548208e-02, -1.61659475e-02, -5.61971823e-03,\n",
                            "         -6.68002805e-03,  3.96120304e-04,  5.75903759e-05],\n",
                            "        [ 4.50384207e-02, -4.02831174e-02, -2.87718838e-03,\n",
                            "         -1.33968135e-02, -4.99630766e-03,  3.55860265e-03]],\n",
                            "\n",
                            "       [[-1.04221813e-01,  0.00000000e+00,  1.74986590e-02,\n",
                            "         -3.63835469e-02, -2.28882986e-04, -1.01843383e-03],\n",
                            "        [-6.32932782e-02,  1.76788010e-02,  2.64601391e-02,\n",
                            "         -7.07987975e-03,  2.92746816e-04, -2.95078993e-04],\n",
                            "        [-1.01138130e-01,  1.76788010e-02,  3.55594903e-02,\n",
                            "         -2.23720279e-02,  1.86323217e-04,  7.83163880e-04],\n",
                            "        ...,\n",
                            "        [ 4.92735021e-02, -1.79623552e-02, -1.21813323e-02,\n",
                            "         -4.80537629e-03,  1.12142053e-03, -1.11944962e-03],\n",
                            "        [ 3.80702429e-02, -1.79623552e-02, -6.20182930e-03,\n",
                            "         -7.17152003e-03,  4.43671306e-04,  5.86747301e-05],\n",
                            "        [ 5.01911044e-02, -4.47977670e-02, -3.22174374e-03,\n",
                            "         -1.45287961e-02, -5.50667616e-03,  4.00539767e-03]]],\n",
                            "      dtype=float32)), StateData(name='stress', dom=1, data=array([[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        ...,\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00]],\n",
                            "\n",
                            "       [[-2.64484258e+04, -1.04529355e+04, -7.70807080e+03,\n",
                            "         -4.94026172e+03, -2.88648472e+01, -1.48734741e+02],\n",
                            "        [-1.33989375e+04,  5.57711304e+02,  1.88573279e+03,\n",
                            "         -7.94711731e+02,  4.41828728e+01, -4.59821739e+01],\n",
                            "        [-2.23616953e+04, -2.78293970e+03,  6.36981621e+01,\n",
                            "         -2.71356543e+03,  2.35810680e+01,  1.20599007e+02],\n",
                            "        ...,\n",
                            "        [ 5.21622900e+03, -1.42441969e+01,  2.21691864e+02,\n",
                            "         -1.16859033e+03,  1.08122070e+02, -6.51865768e+01],\n",
                            "        [ 3.57391211e+03, -4.66856659e+02,  3.02063782e+02,\n",
                            "         -1.17826062e+03,  2.89683361e+01,  1.33193684e+01],\n",
                            "        [ 3.34432422e+03, -3.05434204e+03, -1.65373367e+02,\n",
                            "         -1.99538770e+03, -4.88635071e+02,  1.92100922e+02]],\n",
                            "\n",
                            "       [[-4.64621133e+04, -1.88682031e+04, -1.41482842e+04,\n",
                            "         -8.36959863e+03, -4.55878372e+01, -2.46629288e+02],\n",
                            "        [-2.34484590e+04,  1.02387891e+03,  3.44388110e+03,\n",
                            "         -1.25443335e+03,  8.13408356e+01, -7.52409744e+01],\n",
                            "        [-3.89257422e+04, -4.96432617e+03,  1.06509041e+02,\n",
                            "         -4.44692822e+03,  3.91465225e+01,  2.07021591e+02],\n",
                            "        ...,\n",
                            "        [ 1.01885801e+04,  1.16335869e+02,  4.08291443e+02,\n",
                            "         -2.64133667e+03,  2.15579498e+02, -1.29476761e+02],\n",
                            "        [ 7.06979736e+03, -7.04508606e+02,  6.12370789e+02,\n",
                            "         -2.58942432e+03,  5.83515320e+01,  2.63631763e+01],\n",
                            "        [ 6.61788672e+03, -5.68839160e+03, -3.21880890e+02,\n",
                            "         -4.44795850e+03, -9.77329163e+02,  3.83126587e+02]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-1.04840055e+05, -4.70084375e+04, -3.73781641e+04,\n",
                            "         -1.69710664e+04, -6.83919601e+01, -4.50002289e+02],\n",
                            "        [-5.06672891e+04,  2.73838452e+03,  9.09365039e+03,\n",
                            "         -1.89116357e+03,  2.20604797e+02, -1.26405624e+02],\n",
                            "        [-8.42736016e+04, -1.19750898e+04, -8.18701248e+01,\n",
                            "         -8.20814648e+03,  7.18703384e+01,  4.27924744e+02],\n",
                            "        ...,\n",
                            "        [ 3.76055586e+04,  2.70066382e+03,  1.32220825e+03,\n",
                            "         -1.40359697e+04,  8.46136597e+02, -5.05699005e+02],\n",
                            "        [ 2.67870898e+04,  4.54238922e+02,  2.55717505e+03,\n",
                            "         -1.31917803e+04,  2.39443359e+02,  1.01728439e+02],\n",
                            "        [ 2.51188770e+04, -1.50789824e+04, -1.02254968e+03,\n",
                            "         -2.35351816e+04, -3.90821924e+03,  1.51564709e+03]],\n",
                            "\n",
                            "       [[-1.09579477e+05, -4.95953594e+04, -3.96914570e+04,\n",
                            "         -1.76262246e+04, -6.85027390e+01, -4.60733307e+02],\n",
                            "        [-5.24544531e+04,  2.91616431e+03,  9.67994531e+03,\n",
                            "         -1.91455396e+03,  2.35612656e+02, -1.27949501e+02],\n",
                            "        [-8.75843594e+04, -1.25930576e+04, -1.67251129e+02,\n",
                            "         -8.49706055e+03,  7.33836594e+01,  4.42672363e+02],\n",
                            "        ...,\n",
                            "        [ 4.20180820e+04,  3.29068579e+03,  1.46246997e+03,\n",
                            "         -1.61456777e+04,  9.49143250e+02, -5.67585632e+02],\n",
                            "        [ 2.99093887e+04,  8.65932373e+02,  2.87275732e+03,\n",
                            "         -1.51393564e+04,  2.70139343e+02,  1.13898109e+02],\n",
                            "        [ 2.80943340e+04, -1.58814502e+04, -1.11977356e+03,\n",
                            "         -2.70906562e+04, -4.39748926e+03,  1.70320874e+03]],\n",
                            "\n",
                            "       [[-1.13583438e+05, -5.18183477e+04, -4.17205117e+04,\n",
                            "         -1.81947441e+04, -6.83979645e+01, -4.69166656e+02],\n",
                            "        [-5.38241758e+04,  3.07517920e+03,  1.02040029e+04,\n",
                            "         -1.94041626e+03,  2.49166428e+02, -1.28910309e+02],\n",
                            "        [-9.02867969e+04, -1.31167275e+04, -2.62930817e+02,\n",
                            "         -8.76461328e+03,  7.44312668e+01,  4.54420135e+02],\n",
                            "        ...,\n",
                            "        [ 4.64248828e+04,  3.90854077e+03,  1.60259070e+03,\n",
                            "         -1.82951836e+04,  1.05164062e+03, -6.29355957e+02],\n",
                            "        [ 3.29966719e+04,  1.31243579e+03,  3.18418384e+03,\n",
                            "         -1.71187715e+04,  3.00957672e+02,  1.25958168e+02],\n",
                            "        [ 3.10599844e+04, -1.65141113e+04, -1.21385217e+03,\n",
                            "         -3.07127969e+04, -4.88739697e+03,  1.89066504e+03]]],\n",
                            "      dtype=float32))], surfaces=[], timesteps=array([0. , 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1. ],\n",
                            "      dtype=float32))"
                        ]
                    },
                    "execution_count": 29,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states # list of States objects"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### States data:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 30,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "StateData(name='displacement', dom=0, data=array([[[ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ],\n",
                            "        [ 0.        ,  0.        ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.00220876, -0.00138848,  0.        ],\n",
                            "        [-0.0044777 , -0.00291381,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.03501934, -0.07832458,  0.        ],\n",
                            "        [ 0.03535859, -0.08439115,  0.        ],\n",
                            "        [ 0.03562101, -0.09075736,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.0040143 , -0.00251072,  0.        ],\n",
                            "        [-0.00812449, -0.00527578,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.06155637, -0.14323959,  0.        ],\n",
                            "        [ 0.06199993, -0.15412821,  0.        ],\n",
                            "        [ 0.06229447, -0.16563064,  0.        ]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.0102166 , -0.00648645,  0.        ],\n",
                            "        [-0.02036276, -0.01388767,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.14947748, -0.3811367 ,  0.        ],\n",
                            "        [ 0.14983469, -0.40797347,  0.        ],\n",
                            "        [ 0.14956348, -0.4375061 ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01080656, -0.00690494,  0.        ],\n",
                            "        [-0.02147301, -0.01484216,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.15917969, -0.40684003,  0.        ],\n",
                            "        [ 0.15957509, -0.43523568,  0.        ],\n",
                            "        [ 0.15924646, -0.46669516,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01131956, -0.00728358,  0.        ],\n",
                            "        [-0.02242204, -0.01571946,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.16826567, -0.4302698 ,  0.        ],\n",
                            "        [ 0.16872025, -0.46006113,  0.        ],\n",
                            "        [ 0.16835007, -0.49328837,  0.        ]]], dtype=float32))"
                        ]
                    },
                    "execution_count": 30,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states.nodes[0]"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 31,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "StateData(name='Lagrange strain', dom=1, data=array([[[ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        ...,\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00],\n",
                            "        [ 0.00000000e+00,  0.00000000e+00,  0.00000000e+00,\n",
                            "          0.00000000e+00,  0.00000000e+00,  0.00000000e+00]],\n",
                            "\n",
                            "       [[-2.17677094e-02,  0.00000000e+00,  3.74327949e-03,\n",
                            "         -6.93582371e-03, -4.37995950e-05, -2.12121537e-04],\n",
                            "        [-1.44304177e-02,  4.09667706e-03,  5.80157526e-03,\n",
                            "         -1.21883943e-03,  5.60197332e-05, -6.63803366e-05],\n",
                            "        [-2.22795270e-02,  4.09667706e-03,  7.83721078e-03,\n",
                            "         -3.98436794e-03,  3.43527390e-05,  1.65543141e-04],\n",
                            "        ...,\n",
                            "        [ 5.26422681e-03, -1.79072132e-03, -1.32321590e-03,\n",
                            "         -1.09698484e-03,  1.35720460e-04, -9.22642721e-05],\n",
                            "        [ 3.76291759e-03, -1.79072132e-03, -6.20350009e-04,\n",
                            "         -1.20366516e-03,  3.88481822e-05,  1.51849181e-05],\n",
                            "        [ 4.56744991e-03, -4.31843102e-03, -2.29693338e-04,\n",
                            "         -2.06525391e-03, -6.21005311e-04,  2.85787100e-04]],\n",
                            "\n",
                            "       [[-3.90582196e-02,  0.00000000e+00,  6.69534458e-03,\n",
                            "         -1.25417085e-02, -7.91431958e-05, -3.80462821e-04],\n",
                            "        [-2.57335734e-02,  7.29539804e-03,  1.03692589e-02,\n",
                            "         -2.23168731e-03,  1.01221529e-04, -1.18771379e-04],\n",
                            "        [-3.98102477e-02,  7.29539804e-03,  1.40054580e-02,\n",
                            "         -7.24549964e-03,  6.26781766e-05,  2.96983548e-04],\n",
                            "        ...,\n",
                            "        [ 1.04291877e-02, -3.59612866e-03, -2.62246048e-03,\n",
                            "         -1.94583589e-03,  2.62564688e-04, -1.94546839e-04],\n",
                            "        [ 7.59910978e-03, -3.59612866e-03, -1.25865580e-03,\n",
                            "         -2.20169220e-03,  7.99803020e-05,  2.65620838e-05],\n",
                            "        [ 9.37132537e-03, -8.74294899e-03, -5.08905330e-04,\n",
                            "         -3.88899446e-03, -1.21698214e-03,  6.25088112e-04]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-9.49234068e-02,  0.00000000e+00,  1.60137974e-02,\n",
                            "         -3.24016511e-02, -2.04027048e-04, -9.26311302e-04],\n",
                            "        [-5.90482466e-02,  1.65700149e-02,  2.44058762e-02,\n",
                            "         -6.17906218e-03,  2.60786124e-04, -2.74899823e-04],\n",
                            "        [-9.34232473e-02,  1.65700149e-02,  3.28529291e-02,\n",
                            "         -1.95991900e-02,  1.65617355e-04,  7.16031471e-04],\n",
                            "        ...,\n",
                            "        [ 3.98563445e-02, -1.43719194e-02, -9.90771782e-03,\n",
                            "         -4.43919096e-03,  9.21695610e-04, -8.83027446e-04],\n",
                            "        [ 3.06086857e-02, -1.43719194e-02, -5.02582826e-03,\n",
                            "         -6.17014943e-03,  3.49059643e-04,  5.59888649e-05],\n",
                            "        [ 3.98842469e-02, -3.57679091e-02, -2.52990308e-03,\n",
                            "         -1.22303627e-02, -4.48134402e-03,  3.11454432e-03]],\n",
                            "\n",
                            "       [[-9.99256521e-02,  0.00000000e+00,  1.68171786e-02,\n",
                            "         -3.44921164e-02, -2.17095192e-04, -9.75765346e-04],\n",
                            "        [-6.14328049e-02,  1.72004160e-02,  2.55326405e-02,\n",
                            "         -6.64548576e-03,  2.77563930e-04, -2.86216731e-04],\n",
                            "        [-9.76665765e-02,  1.72004160e-02,  3.43420096e-02,\n",
                            "         -2.10359637e-02,  1.76507951e-04,  7.52359221e-04],\n",
                            "        ...,\n",
                            "        [ 4.45817485e-02, -1.61659475e-02, -1.10525191e-02,\n",
                            "         -4.63817036e-03,  1.02229952e-03, -1.00125966e-03],\n",
                            "        [ 3.43548208e-02, -1.61659475e-02, -5.61971823e-03,\n",
                            "         -6.68002805e-03,  3.96120304e-04,  5.75903759e-05],\n",
                            "        [ 4.50384207e-02, -4.02831174e-02, -2.87718838e-03,\n",
                            "         -1.33968135e-02, -4.99630766e-03,  3.55860265e-03]],\n",
                            "\n",
                            "       [[-1.04221813e-01,  0.00000000e+00,  1.74986590e-02,\n",
                            "         -3.63835469e-02, -2.28882986e-04, -1.01843383e-03],\n",
                            "        [-6.32932782e-02,  1.76788010e-02,  2.64601391e-02,\n",
                            "         -7.07987975e-03,  2.92746816e-04, -2.95078993e-04],\n",
                            "        [-1.01138130e-01,  1.76788010e-02,  3.55594903e-02,\n",
                            "         -2.23720279e-02,  1.86323217e-04,  7.83163880e-04],\n",
                            "        ...,\n",
                            "        [ 4.92735021e-02, -1.79623552e-02, -1.21813323e-02,\n",
                            "         -4.80537629e-03,  1.12142053e-03, -1.11944962e-03],\n",
                            "        [ 3.80702429e-02, -1.79623552e-02, -6.20182930e-03,\n",
                            "         -7.17152003e-03,  4.43671306e-04,  5.86747301e-05],\n",
                            "        [ 5.01911044e-02, -4.47977670e-02, -3.22174374e-03,\n",
                            "         -1.45287961e-02, -5.50667616e-03,  4.00539767e-03]]],\n",
                            "      dtype=float32))"
                        ]
                    },
                    "execution_count": 31,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states.elements[0]"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## FEBio Container"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 32,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python import FEBioContainer\n",
                "\n",
                "container = FEBioContainer(feb=feb,\n",
                "                           xplt=xplt\n",
                "                           )"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Can also load from a file directly:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 33,
            "metadata": {},
            "outputs": [],
            "source": [
                "container = FEBioContainer(feb=\"plane_mesh_v30.feb\",\n",
                "                           xplt=\"plane_mesh_v30.xplt\"\n",
                "                           )"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 34,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb30(3.0):\n",
                            "-> Module: solid\n",
                            "-> Control: 5\n",
                            "-> Material: 1\n",
                            "-> Globals: 1\n",
                            "-> Mesh: 5\n",
                            "-> MeshDomains: 1\n",
                            "-> MeshData: 2\n",
                            "-> Boundary: 2\n",
                            "-> Loads: 2\n",
                            "-> Discrete: 0\n",
                            "-> Output: 1\n",
                            "-> LoadData: 1"
                        ]
                    },
                    "execution_count": 34,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.feb"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 35,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Xplt object [2048976680224]:\n",
                            "=== xplt_mesh: ===\n",
                            "-Nodes:\n",
                            "--->None: (231, 3)\n",
                            "-Elements:\n",
                            "--->None: (400, 4)\n",
                            "=== States: ===\n",
                            "-Nodes:\n",
                            "--->displacement: (11, 231, 3)\n",
                            "-Elements:\n",
                            "--->Lagrange strain: (11, 400, 6)\n",
                            "--->stress: (11, 400, 6)\n",
                            "-Surfaces:"
                        ]
                    },
                    "execution_count": 35,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.xplt"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 36,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "[Nodes(name='plane', coordinates=array([[-1. , -0.5,  0. ],\n",
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                            "        156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168,\n",
                            "        169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,\n",
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                            "        195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207,\n",
                            "        208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220,\n",
                            "        221, 222, 223, 224, 225, 226, 227, 228, 229, 230], dtype=int64))]"
                        ]
                    },
                    "execution_count": 36,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.nodes"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Ploting Feb or Xplt"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 37,
            "metadata": {},
            "outputs": [
                {
                    "name": "stderr",
                    "output_type": "stream",
                    "text": [
                        "C:\\Users\\igorp\\AppData\\Roaming\\Python\\Python310\\site-packages\\scipy\\__init__.py:146: UserWarning: A NumPy version >=1.17.3 and <1.25.0 is required for this version of SciPy (detected version 1.26.3\n",
                        "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
                    ]
                },
                {
                    "data": {
                        "text/plain": [
                            "11"
                        ]
                    },
                    "execution_count": 37,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from febio_python.utils.pyvista_utils import febio_to_pyvista\n",
                "\n",
                "grids_list = febio_to_pyvista(container)\n",
                "len(grids_list)"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 38,
            "metadata": {},
            "outputs": [
                {
                    "data": {
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                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=1024x768>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "grids_list[-1].plot(cpos='xy', show_edges=True, scalars=\"stress\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "You can also quickly convert all cell data to node data:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 39,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=1024x768>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "last_grid_as_nodal_data = grids_list[-1].cell_data_to_point_data()\n",
                "last_grid_as_nodal_data.plot(cpos='xy', show_edges=True, scalars=\"stress\")"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 40,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/html": [
                            "<table style='width: 100%;'><tr><th>Header</th><th>Data Arrays</th></tr><tr><td>\n",
                            "<table style='width: 100%;'>\n",
                            "<tr><th>UnstructuredGrid</th><th>Information</th></tr>\n",
                            "<tr><td>N Cells</td><td>400</td></tr>\n",
                            "<tr><td>N Points</td><td>231</td></tr>\n",
                            "<tr><td>X Bounds</td><td>-1.000e+00, 1.168e+00</td></tr>\n",
                            "<tr><td>Y Bounds</td><td>-9.501e-01, 5.000e-01</td></tr>\n",
                            "<tr><td>Z Bounds</td><td>0.000e+00, 0.000e+00</td></tr>\n",
                            "<tr><td>N Arrays</td><td>18</td></tr>\n",
                            "</table>\n",
                            "\n",
                            "</td><td>\n",
                            "<table style='width: 100%;'>\n",
                            "<tr><th>Name</th><th>Field</th><th>Type</th><th>N Comp</th><th>Min</th><th>Max</th></tr>\n",
                            "<tr><td>right_edge</td><td>Points</td><td>bool</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>left_edge</td><td>Points</td><td>bool</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>all_nodes</td><td>Points</td><td>bool</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>nodal_load_right_edge_scale</td><td>Points</td><td>float64</td><td>1</td><td>8.209e+00</td><td>1.000e+02</td></tr>\n",
                            "<tr><td>nodal_load</td><td>Points</td><td>float64</td><td>3</td><td>-2.500e+01</td><td>1.000e+02</td></tr>\n",
                            "<tr><td>fix</td><td>Points</td><td>int32</td><td>3</td><td>0.000e+00</td><td>1.000e+00</td></tr>\n",
                            "<tr><td>fix_shell</td><td>Points</td><td>int32</td><td>3</td><td>0.000e+00</td><td>1.000e+00</td></tr>\n",
                            "<tr><td>displacement</td><td>Points</td><td>float32</td><td>3</td><td>-4.948e-01</td><td>1.689e-01</td></tr>\n",
                            "<tr><td>Element thickness</td><td>Points</td><td>float64</td><td>3</td><td>1.000e-02</td><td>1.000e-02</td></tr>\n",
                            "<tr><td>mat_parameters:1</td><td>Points</td><td>float64</td><td>2</td><td>3.000e-01</td><td>1.000e+00</td></tr>\n",
                            "<tr><td>Lagrange strain</td><td>Points</td><td>float32</td><td>6</td><td>-1.135e-01</td><td>2.052e-01</td></tr>\n",
                            "<tr><td>stress</td><td>Points</td><td>float32</td><td>6</td><td>-1.071e+05</td><td>2.798e+05</td></tr>\n",
                            "<tr><td><b>stress-normed</b></td><td>Points</td><td>float32</td><td>1</td><td>7.009e+03</td><td>2.953e+05</td></tr>\n",
                            "<tr><td>mat_parameters:1</td><td>Fields</td><td><U7</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>mat_type:1</td><td>Fields</td><td><U17</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>mat_name:1</td><td>Fields</td><td><U14</td><td>1</td><td>nan</td><td>nan</td></tr>\n",
                            "<tr><td>timestep</td><td>Fields</td><td>float32</td><td>1</td><td>1.000e+00</td><td>1.000e+00</td></tr>\n",
                            "<tr><td>lc_1</td><td>Fields</td><td>float32</td><td>1</td><td>1.000e+00</td><td>1.000e+00</td></tr>\n",
                            "</table>\n",
                            "\n",
                            "</td></tr> </table>"
                        ],
                        "text/plain": [
                            "UnstructuredGrid (0x1dd523cd3c0)\n",
                            "  N Cells:    400\n",
                            "  N Points:   231\n",
                            "  X Bounds:   -1.000e+00, 1.168e+00\n",
                            "  Y Bounds:   -9.501e-01, 5.000e-01\n",
                            "  Z Bounds:   0.000e+00, 0.000e+00\n",
                            "  N Arrays:   18"
                        ]
                    },
                    "execution_count": 40,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "last_grid_as_nodal_data"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "When using the FEBio container, we have access to both Feb and Xplt data. This means that we can retrieve nodal load, boundary conditions, etc. Here is a cool plot that we can do:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 41,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "image/png": 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",
                        "text/plain": [
                            "<PIL.Image.Image image mode=RGB size=1024x768>"
                        ]
                    },
                    "metadata": {},
                    "output_type": "display_data"
                }
            ],
            "source": [
                "plotter = pv.Plotter()\n",
                "strain_xx = last_grid_as_nodal_data[\"Lagrange strain\"][:, 0]\n",
                "fixed_nodes = last_grid_as_nodal_data[\"fix\"].sum(1)\n",
                "\n",
                "plotter.add_mesh(last_grid_as_nodal_data,\n",
                "                 scalars=strain_xx,\n",
                "                 cmap=\"coolwarm\",\n",
                "                 show_edges=True,\n",
                "                 scalar_bar_args={\"title\": \"Strain - XX\"})\n",
                "plotter.add_mesh(last_grid_as_nodal_data.points,\n",
                "                 scalars=fixed_nodes,\n",
                "                 cmap=\"viridis\",\n",
                "                 style=\"points\",\n",
                "                 point_size=10,\n",
                "                 render_points_as_spheres=True, show_scalar_bar=False)\n",
                "plotter.add_arrows(last_grid_as_nodal_data.points,\n",
                "                   last_grid_as_nodal_data[\"nodal_load\"],\n",
                "                   mag=5e-3, # This controls the mag of the arrows. Not the actual load. There may be a better way to control this.\n",
                "                   show_scalar_bar=False,\n",
                "                   color=\"orange\")\n",
                "plotter.show(cpos=\"xy\")"
            ]
        }
    ],
    "metadata": {
        "kernelspec": {
            "display_name": "torch_cuda",
            "language": "python",
            "name": "python3"
        },
        "language_info": {
            "codemirror_mode": {
                "name": "ipython",
                "version": 3
            },
            "file_extension": ".py",
            "mimetype": "text/x-python",
            "name": "python",
            "nbconvert_exporter": "python",
            "pygments_lexer": "ipython3",
            "version": "3.10.13"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}