{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import k3d\n", "from math import sin, cos, pi\n", "\n", "width = height = length = 20\n", "model_matrix = [\n", " 7.0, 5.0, -5.0, 0.0,\n", " 0.0, 7.0, 7.0, 5.0,\n", " 7.0, -5.0, 5.0, 0.0,\n", " 0.0, 0.0, 0.0, 1.0\n", "]\n", "\n", "def f(x, y, z):\n", " return sin(float(x) / width * pi * 2.0), cos(float(y) / height * pi * 2.0), sin(float(z) / length * pi * 2.0)\n", "\n", "colors = (0xFF0000, 0x00FF00) * width * height * length\n", "vectors = [[[f(x, y, z) for x in range(width)] for y in range(height)] for z in range(length)]\n", "\n", "plot = k3d.plot()\n", "plot += k3d.vector_field(vectors, colors, model_matrix=model_matrix, use_head=False)\n", "plot.display()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot.objects[0].scale = 10.0" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot.objects[0].use_head = False" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "#credits:https://github.com/Davide-sd\n", "\n", "import numpy as np \n", "\n", "fig = k3d.plot()\n", "n = 20\n", "x = np.linspace(-5, 5, n)\n", "y = np.linspace(-5, 5, n)\n", "z = np.linspace(-5, 5, n)\n", "xx, yy, zz = np.meshgrid(x, y, z)\n", "uu, vv, ww = zz, yy, xx\n", "xx, yy, zz, uu, vv, ww = [t.flatten().astype(np.float32) for t in [xx, yy, zz, uu, vv, ww]]\n", "scale = 0.5\n", "magnitude = np.sqrt(uu**2 + vv**2 + ww**2)\n", "vectors = np.array((uu, vv, ww)).T * scale\n", "origins = np.array((xx, yy, zz)).T\n", "colors = k3d.helpers.map_colors(magnitude, k3d.matplotlib_color_maps.Plasma, [])\n", "vec_colors = np.zeros(2 * len(colors))\n", "for i, c in enumerate(colors):\n", " vec_colors[2 * i] = c\n", " vec_colors[2 * i + 1] = c\n", "vec_colors = vec_colors.astype(np.uint32)\n", "vec = k3d.vectors(\n", " origins = origins - vectors / 2,\n", " vectors = vectors,\n", " colors = vec_colors,\n", ")\n", "fig += vec\n", "fig.display()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }