{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import k3d\n",
"import base64"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Produce a plot"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"iteration = 4\n",
"size = 3**iteration\n",
"\n",
"voxels = np.ones((size, size, size));\n",
"\n",
"def iterate(length, x, y, z):\n",
"\n",
" nl = length // 3 \n",
"\n",
" if nl < 1:\n",
" return\n",
"\n",
" margin = (nl-1) // 2\n",
"\n",
" voxels[z-margin:z+margin+1, y-margin:y+margin+1, :] = 0\n",
" voxels[z-margin:z+margin+1, :, x-margin:x+margin+1] = 0\n",
" voxels[:, y-margin:y+margin+1, x-margin:x+margin+1] = 0 \n",
"\n",
" for ix,iy,iz in np.ndindex((3,3,3)):\n",
" if (1 if ix !=1 else 0) + (1 if iy != 1 else 0) + (1 if iz != 1 else 0) !=2:\n",
" iterate(nl, x + (ix-1) * nl, y + (iy-1) * nl , z + (iz-1) * nl)\n",
"\n",
"iterate(size, size//2, size//2, size//2)\n",
"\n",
"plot = k3d.plot()\n",
"plot += k3d.voxels(voxels.astype(np.uint8), compression_level=9)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Create and save to *.k3d file"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"template = \"\"\"\n",
"\n",
"\n",
"\n",
" \n",
" K3D in js\n",
" \n",
" \n",
" \n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data = plot.get_binary_snapshot()\n",
"\n",
"with open(\"k3d_in_javascript.html\", \"w\") as f: \n",
" # base64 is only for embeding data in html normally recommeded way is to load data via ajax\n",
" f.write(template.replace(\"[DATA]\", base64.b64encode(data).decode(\"utf-8\")))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.8.12"
}
},
"nbformat": 4,
"nbformat_minor": 4
}