{
    "cells": [
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "# Adding Basic Components"
            ]
        },
        {
            "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": [
                            "Feb25(2.5):\n",
                            "-> Module: Unknown\n",
                            "-> Control: 0\n",
                            "-> Material: 0\n",
                            "-> Globals: 0\n",
                            "-> Geometry: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 0\n",
                            "-> Output: 0\n",
                            "-> MeshData: 0"
                        ]
                    },
                    "execution_count": 1,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from febio_python import Feb\n",
                "\n",
                "feb = Feb(version=2.5)\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": [],
            "source": [
                "feb.setup_module(module_type=\"solid\") # default values\n",
                "feb.setup_globals(T=0, R=0, Fc=0) # default values\n",
                "feb.setup_controls(analysis_type=\"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": [
                            "Feb25(2.5):\n",
                            "-> Module: solid\n",
                            "-> Control: 15\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Geometry: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 0\n",
                            "-> Output: 1\n",
                            "-> MeshData: 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=None,\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 'Geometry' items:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 9,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb25(2.5):\n",
                            "-> Module: solid\n",
                            "-> Control: 15\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Geometry: 2\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 0\n",
                            "-> Output: 1\n",
                            "-> MeshData: 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=None,\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": [
                            "Feb25(2.5):\n",
                            "-> Module: solid\n",
                            "-> Control: 15\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Geometry: 0\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 0\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 0\n",
                            "-> Output: 1\n",
                            "-> MeshData: 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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",
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                            "<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=None,\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 Load"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "Let's try adding a shear load to the mesh:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 19,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb25(2.5):\n",
                            "-> Module: solid\n",
                            "-> Control: 15\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Geometry: 3\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 1\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 1\n",
                            "-> Output: 1\n",
                            "-> MeshData: 0"
                        ]
                    },
                    "execution_count": 19,
                    "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": 20,
            "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": [
                            "Feb25(2.5):\n",
                            "-> Module: solid\n",
                            "-> Control: 15\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Geometry: 3\n",
                            "-> Boundary: 0\n",
                            "-> Loads: 2\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 1\n",
                            "-> Output: 1\n",
                            "-> MeshData: 1"
                        ]
                    },
                    "execution_count": 20,
                    "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": 21,
            "metadata": {},
            "outputs": [],
            "source": [
                "from febio_python.core import FixCondition\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 = FixCondition(dof=\"x,y,z,sx,sy\", node_set=\"left_edge\")\n",
                "# we will\n",
                "all_fix_condition = FixCondition(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, all_fix_condition])"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 22,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb25(2.5):\n",
                            "-> Module: solid\n",
                            "-> Control: 15\n",
                            "-> Material: 0\n",
                            "-> Globals: 1\n",
                            "-> Geometry: 5\n",
                            "-> Boundary: 2\n",
                            "-> Loads: 2\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 1\n",
                            "-> Output: 1\n",
                            "-> MeshData: 1"
                        ]
                    },
                    "execution_count": 22,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "feb"
            ]
        },
        {
            "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",
                "    var=\"shell 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": 27,
            "metadata": {},
            "outputs": [
                {
                    "name": "stdout",
                    "output_type": "stream",
                    "text": [
                        "Starting process for: plane_mesh_v25.feb\n",
                        "Waiting for process to complete...\n",
                        "Completed process for: plane_mesh_v25.feb\n"
                    ]
                }
            ],
            "source": [
                "# from febio_python.feb import run\n",
                "# # Save the FEB file\n",
                "# feb.write(\"plane_mesh_v25.feb\")\n",
                "# run(\"plane_mesh_v25.feb\")"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Reading XPLT"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 29,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Xplt object [1691985673520]:\n",
                            "=== xplt_mesh: ===\n",
                            "-Nodes:\n",
                            "--->None: (231, 3)\n",
                            "-Elements:\n",
                            "--->None: (400, 3)\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": 29,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "from febio_python import Xplt\n",
                "\n",
                "xplt = Xplt(\"plane_mesh_v25.xplt\")\n",
                "xplt"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### Example properties"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 30,
            "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([  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]))]"
                        ]
                    },
                    "execution_count": 30,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.nodes # list of Nodes objects"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 31,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "[Elements(name=None, type='TRIANGLE', connectivity=array([[  0,   1,  21],\n",
                            "        [ 22,  21,   1],\n",
                            "        [  1,   2,  22],\n",
                            "        ...,\n",
                            "        [229, 228, 208],\n",
                            "        [208, 209, 229],\n",
                            "        [230, 229, 209]]), 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, 232, 233, 234,\n",
                            "        235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247,\n",
                            "        248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260,\n",
                            "        261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273,\n",
                            "        274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286,\n",
                            "        287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299,\n",
                            "        300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312,\n",
                            "        313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325,\n",
                            "        326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338,\n",
                            "        339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351,\n",
                            "        352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364,\n",
                            "        365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377,\n",
                            "        378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390,\n",
                            "        391, 392, 393, 394, 395, 396, 397, 398, 399, 400]), mat=None, part=1)]"
                        ]
                    },
                    "execution_count": 31,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.elements # list of Elements objects"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 32,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "States(nodes=[StateData(name='displacement', dom=-1, 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",
                            "        [-0.00241185, -0.00141284,  0.        ],\n",
                            "        [-0.00460829, -0.00296836,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.03514386, -0.07879543,  0.        ],\n",
                            "        [ 0.03548158, -0.08488715,  0.        ],\n",
                            "        [ 0.03574249, -0.09127856,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.00438763, -0.00255033,  0.        ],\n",
                            "        [-0.00835898, -0.00537066,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.06173341, -0.1440275 ,  0.        ],\n",
                            "        [ 0.06217256, -0.154956  ,  0.        ],\n",
                            "        [ 0.06246274, -0.16649833,  0.        ]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01119141, -0.00654127,  0.        ],\n",
                            "        [-0.02091032, -0.0140982 ,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.14965743, -0.3825299 ,  0.        ],\n",
                            "        [ 0.14999932, -0.40942118,  0.        ],\n",
                            "        [ 0.14971283, -0.4390082 ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01183677, -0.00695707,  0.        ],\n",
                            "        [-0.02204275, -0.01506192,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.15935734, -0.40824923,  0.        ],\n",
                            "        [ 0.15973683, -0.43669814,  0.        ],\n",
                            "        [ 0.15939233, -0.46821073,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01239656, -0.00733244,  0.        ],\n",
                            "        [-0.02300878, -0.01594689,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.16844292, -0.43168595,  0.        ],\n",
                            "        [ 0.16888118, -0.4615291 ,  0.        ],\n",
                            "        [ 0.1684947 , -0.49480793,  0.        ]]], dtype=float32))], elements=[StateData(name='Lagrange strain', dom=0, 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",
                            "       [[-2.37153228e-02,  4.96507617e-08,  9.25132260e-03,\n",
                            "         -7.05668749e-03,  8.77791172e-05,  8.75434343e-05],\n",
                            "        [-1.55513035e-02,  4.19573579e-03,  6.64580334e-03,\n",
                            "         -8.76835082e-04, -4.10028315e-06,  3.52151233e-06],\n",
                            "        [-2.16151774e-02,  4.19573579e-03,  6.46888278e-03,\n",
                            "         -3.71682271e-03, -1.87471978e-05, -3.00115735e-05],\n",
                            "        ...,\n",
                            "        [ 5.26419561e-03, -1.79060502e-03, -1.32319576e-03,\n",
                            "         -1.09630043e-03,  1.35697308e-04, -9.22947293e-05],\n",
                            "        [ 3.76348314e-03, -1.79060502e-03, -6.20446925e-04,\n",
                            "         -1.20302581e-03,  3.88543667e-05,  1.51752083e-05],\n",
                            "        [ 4.56833979e-03, -4.31854278e-03, -2.29850310e-04,\n",
                            "         -2.06456636e-03, -6.20934181e-04,  2.85940798e-04]],\n",
                            "\n",
                            "       [[-4.25659008e-02,  1.59901958e-07,  1.65927690e-02,\n",
                            "         -1.27380788e-02,  1.59318617e-04,  1.58670024e-04],\n",
                            "        [-2.77379584e-02,  7.46000186e-03,  1.18833957e-02,\n",
                            "         -1.59418711e-03, -7.71454506e-06,  5.81513541e-06],\n",
                            "        [-3.85503881e-02,  7.46000186e-03,  1.15433391e-02,\n",
                            "         -6.74896734e-03, -3.39396829e-05, -5.31097103e-05],\n",
                            "        ...,\n",
                            "        [ 1.04284454e-02, -3.59612191e-03, -2.62235897e-03,\n",
                            "         -1.94375543e-03,  2.62485846e-04, -1.94640495e-04],\n",
                            "        [ 7.60030141e-03, -3.59612191e-03, -1.25896640e-03,\n",
                            "         -2.19966378e-03,  7.99982663e-05,  2.65306644e-05],\n",
                            "        [ 9.37342457e-03, -8.74353014e-03, -5.09420410e-04,\n",
                            "         -3.88680655e-03, -1.21673197e-03,  6.25563203e-04]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-1.03454977e-01,  1.02291756e-06,  4.00860123e-02,\n",
                            "         -3.26714478e-02,  4.17361414e-04,  4.09782020e-04],\n",
                            "        [-6.36420026e-02,  1.68143846e-02,  2.79301554e-02,\n",
                            "         -4.35827812e-03, -2.22580402e-05,  9.12787800e-06],\n",
                            "        [-8.96661356e-02,  1.68143846e-02,  2.68445406e-02,\n",
                            "         -1.82178933e-02, -8.80838707e-05, -1.21186145e-04],\n",
                            "        ...,\n",
                            "        [ 3.98490652e-02, -1.43709024e-02, -9.90649406e-03,\n",
                            "         -4.42765653e-03,  9.21171857e-04, -8.83480243e-04],\n",
                            "        [ 3.06131430e-02, -1.43709024e-02, -5.02734119e-03,\n",
                            "         -6.15815260e-03,  3.49141104e-04,  5.58151733e-05],\n",
                            "        [ 3.98919024e-02, -3.57674919e-02, -2.53269938e-03,\n",
                            "         -1.22170681e-02, -4.47947998e-03,  3.11689964e-03]],\n",
                            "\n",
                            "       [[-1.08881332e-01,  1.15577188e-06,  4.21402082e-02,\n",
                            "         -3.47481929e-02,  4.44912352e-04,  4.35584836e-04],\n",
                            "        [-6.61997572e-02,  1.74349323e-02,  2.92007625e-02,\n",
                            "         -4.69052047e-03, -2.38736247e-05,  8.95932772e-06],\n",
                            "        [-9.36254486e-02,  1.74349323e-02,  2.80210096e-02,\n",
                            "         -1.95591226e-02, -9.38163721e-05, -1.26437721e-04],\n",
                            "        ...,\n",
                            "        [ 4.45734523e-02, -1.61647107e-02, -1.10511193e-02,\n",
                            "         -4.62550670e-03,  1.02171360e-03, -1.00175163e-03],\n",
                            "        [ 3.43595631e-02, -1.61647107e-02, -5.62138064e-03,\n",
                            "         -6.66673388e-03,  3.96208838e-04,  5.73999459e-05],\n",
                            "        [ 4.50464040e-02, -4.02821973e-02, -2.88027129e-03,\n",
                            "         -1.33820577e-02, -4.99419915e-03,  3.56116169e-03]],\n",
                            "\n",
                            "       [[-1.13529623e-01,  1.28303191e-06,  4.38876860e-02,\n",
                            "         -3.66229638e-02,  4.69880557e-04,  4.58679424e-04],\n",
                            "        [-6.81892633e-02,  1.79007482e-02,  3.02395485e-02,\n",
                            "         -5.00305137e-03, -2.53279559e-05,  8.70800432e-06],\n",
                            "        [-9.68414694e-02,  1.79007482e-02,  2.89726872e-02,\n",
                            "         -2.08097380e-02, -9.90094777e-05, -1.30736560e-04],\n",
                            "        ...,\n",
                            "        [ 4.92642596e-02, -1.79609023e-02, -1.21797724e-02,\n",
                            "         -4.79171658e-03,  1.12077757e-03, -1.11997582e-03],\n",
                            "        [ 3.80752347e-02, -1.79609023e-02, -6.20363094e-03,\n",
                            "         -7.15704774e-03,  4.43766272e-04,  5.84696500e-05],\n",
                            "        [ 5.01992963e-02, -4.47962992e-02, -3.22508742e-03,\n",
                            "         -1.45127149e-02, -5.50433807e-03,  4.00813343e-03]]],\n",
                            "      dtype=float32)), StateData(name='stress', dom=0, 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",
                            "       [[-2.57104258e+04, -8.32338770e+03, -1.26783472e+03,\n",
                            "         -5.00688428e+03,  6.47943573e+01,  5.92901344e+01],\n",
                            "        [-1.43045918e+04,  5.29054504e+02,  2.43950635e+03,\n",
                            "         -5.20961426e+02, -3.57376099e+00,  6.30108118e-01],\n",
                            "        [-2.22493047e+04, -3.06733716e+03, -1.37425366e+03,\n",
                            "         -2.51297241e+03, -1.46889915e+01, -2.43459587e+01],\n",
                            "        ...,\n",
                            "        [ 5.21573779e+03, -1.35725298e+01,  2.21767639e+02,\n",
                            "         -1.16937219e+03,  1.08122086e+02, -6.51837006e+01],\n",
                            "        [ 3.57415332e+03, -4.65898315e+02,  3.02325745e+02,\n",
                            "         -1.17880908e+03,  2.89701767e+01,  1.33194933e+01],\n",
                            "        [ 3.34443286e+03, -3.05312988e+03, -1.65135666e+02,\n",
                            "         -1.99652502e+03, -4.88636292e+02,  1.92099396e+02]],\n",
                            "\n",
                            "       [[-4.48986719e+04, -1.49390605e+04, -2.35327466e+03,\n",
                            "         -8.44365625e+03,  1.14041161e+02,  9.63064270e+01],\n",
                            "        [-2.49900234e+04,  9.53104980e+02,  4.44329688e+03,\n",
                            "         -7.30678345e+02, -7.26328564e+00, -2.20842171e+00],\n",
                            "        [-3.87194727e+04, -5.47384131e+03, -2.50470239e+03,\n",
                            "         -4.08328662e+03, -2.69665909e+01, -4.50076408e+01],\n",
                            "        ...,\n",
                            "        [ 1.01858477e+04,  1.17725616e+02,  4.08006592e+02,\n",
                            "         -2.64370044e+03,  2.15578400e+02, -1.29467834e+02],\n",
                            "        [ 7.06949512e+03, -7.02262695e+02,  6.12641724e+02,\n",
                            "         -2.59109229e+03,  5.83572578e+01,  2.63640137e+01],\n",
                            "        [ 6.61690186e+03, -5.68505859e+03, -3.21698456e+02,\n",
                            "         -4.45147803e+03, -9.77332092e+02,  3.83120911e+02]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-9.92679531e+04, -3.66051602e+04, -6.64452246e+03,\n",
                            "         -1.68790059e+04,  2.73736389e+02,  1.60902344e+02],\n",
                            "        [-5.36645586e+04,  2.33872754e+03,  1.14601699e+04,\n",
                            "         -3.11623627e+02, -2.48822613e+01, -3.28758545e+01],\n",
                            "        [-8.36302812e+04, -1.31645332e+04, -6.56354932e+03,\n",
                            "         -7.30365869e+03, -7.28974838e+01, -1.22733002e+02],\n",
                            "        ...,\n",
                            "        [ 3.75855078e+04,  2.70891431e+03,  1.32031433e+03,\n",
                            "         -1.40452988e+04,  8.46112244e+02, -5.05644989e+02],\n",
                            "        [ 2.67828867e+04,  4.67094666e+02,  2.55825366e+03,\n",
                            "         -1.31989033e+04,  2.39480713e+02,  1.01752251e+02],\n",
                            "        [ 2.51069902e+04, -1.50549033e+04, -1.02165302e+03,\n",
                            "         -2.35506895e+04, -3.90820166e+03,  1.51560632e+03]],\n",
                            "\n",
                            "       [[-1.03544789e+05, -3.85584258e+04, -7.13044482e+03,\n",
                            "         -1.75093594e+04,  2.89711700e+02,  1.62880554e+02],\n",
                            "        [-5.55197031e+04,  2.46515479e+03,  1.21460254e+04,\n",
                            "         -2.14675766e+02, -2.70178871e+01, -3.74516640e+01],\n",
                            "        [-8.68775391e+04, -1.38355576e+04, -6.98250635e+03,\n",
                            "         -7.54512988e+03, -7.78906708e+01, -1.31013916e+02],\n",
                            "        ...,\n",
                            "        [ 4.19955117e+04,  3.29983154e+03,  1.46036755e+03,\n",
                            "         -1.61555713e+04,  9.49114014e+02, -5.67525269e+02],\n",
                            "        [ 2.99045957e+04,  8.80143616e+02,  2.87391748e+03,\n",
                            "         -1.51469600e+04,  2.70181335e+02,  1.13927521e+02],\n",
                            "        [ 2.80805938e+04, -1.58543672e+04, -1.11878113e+03,\n",
                            "         -2.71071465e+04, -4.39746387e+03,  1.70316260e+03]],\n",
                            "\n",
                            "       [[-1.07134500e+05, -4.02281328e+04, -7.57302295e+03,\n",
                            "         -1.80556445e+04,  3.04073822e+02,  1.64106705e+02],\n",
                            "        [-5.69336562e+04,  2.57574097e+03,  1.27474004e+04,\n",
                            "         -1.31921478e+02, -2.89687786e+01, -4.16831512e+01],\n",
                            "        [-8.95182266e+04, -1.44029912e+04, -7.35732373e+03,\n",
                            "         -7.77286230e+03, -8.24211807e+01, -1.38445099e+02],\n",
                            "        ...,\n",
                            "        [ 4.63999648e+04,  3.91850513e+03,  1.60029834e+03,\n",
                            "         -1.83055371e+04,  1.05160632e+03, -6.29289734e+02],\n",
                            "        [ 3.29913398e+04,  1.32787097e+03,  3.18541235e+03,\n",
                            "         -1.71267695e+04,  3.01004028e+02,  1.25993431e+02],\n",
                            "        [ 3.10444766e+04, -1.64842617e+04, -1.21277368e+03,\n",
                            "         -3.07300488e+04, -4.88736279e+03,  1.89061377e+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": 32,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states # list of States objects"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "### States data:"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 33,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "StateData(name='displacement', dom=-1, 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",
                            "        [-0.00241185, -0.00141284,  0.        ],\n",
                            "        [-0.00460829, -0.00296836,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.03514386, -0.07879543,  0.        ],\n",
                            "        [ 0.03548158, -0.08488715,  0.        ],\n",
                            "        [ 0.03574249, -0.09127856,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.00438763, -0.00255033,  0.        ],\n",
                            "        [-0.00835898, -0.00537066,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.06173341, -0.1440275 ,  0.        ],\n",
                            "        [ 0.06217256, -0.154956  ,  0.        ],\n",
                            "        [ 0.06246274, -0.16649833,  0.        ]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01119141, -0.00654127,  0.        ],\n",
                            "        [-0.02091032, -0.0140982 ,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.14965743, -0.3825299 ,  0.        ],\n",
                            "        [ 0.14999932, -0.40942118,  0.        ],\n",
                            "        [ 0.14971283, -0.4390082 ,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01183677, -0.00695707,  0.        ],\n",
                            "        [-0.02204275, -0.01506192,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.15935734, -0.40824923,  0.        ],\n",
                            "        [ 0.15973683, -0.43669814,  0.        ],\n",
                            "        [ 0.15939233, -0.46821073,  0.        ]],\n",
                            "\n",
                            "       [[ 0.        ,  0.        ,  0.        ],\n",
                            "        [-0.01239656, -0.00733244,  0.        ],\n",
                            "        [-0.02300878, -0.01594689,  0.        ],\n",
                            "        ...,\n",
                            "        [ 0.16844292, -0.43168595,  0.        ],\n",
                            "        [ 0.16888118, -0.4615291 ,  0.        ],\n",
                            "        [ 0.1684947 , -0.49480793,  0.        ]]], dtype=float32))"
                        ]
                    },
                    "execution_count": 33,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states.nodes[0]"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 34,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "StateData(name='Lagrange strain', dom=0, 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",
                            "       [[-2.37153228e-02,  4.96507617e-08,  9.25132260e-03,\n",
                            "         -7.05668749e-03,  8.77791172e-05,  8.75434343e-05],\n",
                            "        [-1.55513035e-02,  4.19573579e-03,  6.64580334e-03,\n",
                            "         -8.76835082e-04, -4.10028315e-06,  3.52151233e-06],\n",
                            "        [-2.16151774e-02,  4.19573579e-03,  6.46888278e-03,\n",
                            "         -3.71682271e-03, -1.87471978e-05, -3.00115735e-05],\n",
                            "        ...,\n",
                            "        [ 5.26419561e-03, -1.79060502e-03, -1.32319576e-03,\n",
                            "         -1.09630043e-03,  1.35697308e-04, -9.22947293e-05],\n",
                            "        [ 3.76348314e-03, -1.79060502e-03, -6.20446925e-04,\n",
                            "         -1.20302581e-03,  3.88543667e-05,  1.51752083e-05],\n",
                            "        [ 4.56833979e-03, -4.31854278e-03, -2.29850310e-04,\n",
                            "         -2.06456636e-03, -6.20934181e-04,  2.85940798e-04]],\n",
                            "\n",
                            "       [[-4.25659008e-02,  1.59901958e-07,  1.65927690e-02,\n",
                            "         -1.27380788e-02,  1.59318617e-04,  1.58670024e-04],\n",
                            "        [-2.77379584e-02,  7.46000186e-03,  1.18833957e-02,\n",
                            "         -1.59418711e-03, -7.71454506e-06,  5.81513541e-06],\n",
                            "        [-3.85503881e-02,  7.46000186e-03,  1.15433391e-02,\n",
                            "         -6.74896734e-03, -3.39396829e-05, -5.31097103e-05],\n",
                            "        ...,\n",
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                            "         -1.94375543e-03,  2.62485846e-04, -1.94640495e-04],\n",
                            "        [ 7.60030141e-03, -3.59612191e-03, -1.25896640e-03,\n",
                            "         -2.19966378e-03,  7.99982663e-05,  2.65306644e-05],\n",
                            "        [ 9.37342457e-03, -8.74353014e-03, -5.09420410e-04,\n",
                            "         -3.88680655e-03, -1.21673197e-03,  6.25563203e-04]],\n",
                            "\n",
                            "       ...,\n",
                            "\n",
                            "       [[-1.03454977e-01,  1.02291756e-06,  4.00860123e-02,\n",
                            "         -3.26714478e-02,  4.17361414e-04,  4.09782020e-04],\n",
                            "        [-6.36420026e-02,  1.68143846e-02,  2.79301554e-02,\n",
                            "         -4.35827812e-03, -2.22580402e-05,  9.12787800e-06],\n",
                            "        [-8.96661356e-02,  1.68143846e-02,  2.68445406e-02,\n",
                            "         -1.82178933e-02, -8.80838707e-05, -1.21186145e-04],\n",
                            "        ...,\n",
                            "        [ 3.98490652e-02, -1.43709024e-02, -9.90649406e-03,\n",
                            "         -4.42765653e-03,  9.21171857e-04, -8.83480243e-04],\n",
                            "        [ 3.06131430e-02, -1.43709024e-02, -5.02734119e-03,\n",
                            "         -6.15815260e-03,  3.49141104e-04,  5.58151733e-05],\n",
                            "        [ 3.98919024e-02, -3.57674919e-02, -2.53269938e-03,\n",
                            "         -1.22170681e-02, -4.47947998e-03,  3.11689964e-03]],\n",
                            "\n",
                            "       [[-1.08881332e-01,  1.15577188e-06,  4.21402082e-02,\n",
                            "         -3.47481929e-02,  4.44912352e-04,  4.35584836e-04],\n",
                            "        [-6.61997572e-02,  1.74349323e-02,  2.92007625e-02,\n",
                            "         -4.69052047e-03, -2.38736247e-05,  8.95932772e-06],\n",
                            "        [-9.36254486e-02,  1.74349323e-02,  2.80210096e-02,\n",
                            "         -1.95591226e-02, -9.38163721e-05, -1.26437721e-04],\n",
                            "        ...,\n",
                            "        [ 4.45734523e-02, -1.61647107e-02, -1.10511193e-02,\n",
                            "         -4.62550670e-03,  1.02171360e-03, -1.00175163e-03],\n",
                            "        [ 3.43595631e-02, -1.61647107e-02, -5.62138064e-03,\n",
                            "         -6.66673388e-03,  3.96208838e-04,  5.73999459e-05],\n",
                            "        [ 4.50464040e-02, -4.02821973e-02, -2.88027129e-03,\n",
                            "         -1.33820577e-02, -4.99419915e-03,  3.56116169e-03]],\n",
                            "\n",
                            "       [[-1.13529623e-01,  1.28303191e-06,  4.38876860e-02,\n",
                            "         -3.66229638e-02,  4.69880557e-04,  4.58679424e-04],\n",
                            "        [-6.81892633e-02,  1.79007482e-02,  3.02395485e-02,\n",
                            "         -5.00305137e-03, -2.53279559e-05,  8.70800432e-06],\n",
                            "        [-9.68414694e-02,  1.79007482e-02,  2.89726872e-02,\n",
                            "         -2.08097380e-02, -9.90094777e-05, -1.30736560e-04],\n",
                            "        ...,\n",
                            "        [ 4.92642596e-02, -1.79609023e-02, -1.21797724e-02,\n",
                            "         -4.79171658e-03,  1.12077757e-03, -1.11997582e-03],\n",
                            "        [ 3.80752347e-02, -1.79609023e-02, -6.20363094e-03,\n",
                            "         -7.15704774e-03,  4.43766272e-04,  5.84696500e-05],\n",
                            "        [ 5.01992963e-02, -4.47962992e-02, -3.22508742e-03,\n",
                            "         -1.45127149e-02, -5.50433807e-03,  4.00813343e-03]]],\n",
                            "      dtype=float32))"
                        ]
                    },
                    "execution_count": 34,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "xplt.states.elements[0]"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## FEBio Container"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 35,
            "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": 36,
            "metadata": {},
            "outputs": [],
            "source": [
                "container = FEBioContainer(feb=\"plane_mesh_v25.feb\",\n",
                "                           xplt=\"plane_mesh_v25.xplt\"\n",
                "                           )"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 37,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Feb25(2.5):\n",
                            "-> Module: solid\n",
                            "-> Control: 15\n",
                            "-> Material: 1\n",
                            "-> Globals: 1\n",
                            "-> Geometry: 5\n",
                            "-> Boundary: 2\n",
                            "-> Loads: 2\n",
                            "-> Discrete: 0\n",
                            "-> LoadData: 1\n",
                            "-> Output: 1\n",
                            "-> MeshData: 2"
                        ]
                    },
                    "execution_count": 37,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.feb"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 38,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "Xplt object [1692092081728]:\n",
                            "=== xplt_mesh: ===\n",
                            "-Nodes:\n",
                            "--->None: (231, 3)\n",
                            "-Elements:\n",
                            "--->None: (400, 3)\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": 38,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.xplt"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 39,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "[Nodes(name='plane', coordinates=array([[-1. , -0.5,  0. ],\n",
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                            "         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], dtype=int64))]"
                        ]
                    },
                    "execution_count": 39,
                    "metadata": {},
                    "output_type": "execute_result"
                }
            ],
            "source": [
                "container.nodes"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {},
            "source": [
                "## Ploting Feb or Xplt"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": 40,
            "metadata": {},
            "outputs": [
                {
                    "data": {
                        "text/plain": [
                            "11"
                        ]
                    },
                    "execution_count": 40,
                    "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": 41,
            "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": 42,
            "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": 43,
            "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>19</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>domain</td><td>Points</td><td>float32</td><td>1</td><td>0.000e+00</td><td>0.000e+00</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 (0x189f2345280)\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:   19"
                        ]
                    },
                    "execution_count": 43,
                    "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": 44,
            "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\")\n"
            ]
        }
    ],
    "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": "3.9.18"
        }
    },
    "nbformat": 4,
    "nbformat_minor": 2
}