{ "cells": [ { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "%gui qt" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "from mayavi import mlab\n", "import scipy\n", "import time" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/padmapriya/mohyavi/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: invalid value encountered in true_divide\n", " This is separate from the ipykernel package so we can avoid doing imports until\n", "/home/padmapriya/mohyavi/lib/python3.6/site-packages/ipykernel_launcher.py:4: RuntimeWarning: invalid value encountered in true_divide\n", " after removing the cwd from sys.path.\n", "/home/padmapriya/mohyavi/lib/python3.6/site-packages/ipykernel_launcher.py:5: RuntimeWarning: invalid value encountered in true_divide\n", " \"\"\"\n" ] } ], "source": [ "x, y, z = np.mgrid[-2:3, -2:3, -2:3]\n", "r = np.sqrt(x**2 + y**2 + z**2)\n", "u = x/r**3\n", "v = y/r**3\n", "w = z/r**3\n", "\n", "a = mlab.quiver3d(x, y, z, u, v, w)\n", "mlab.axes(a)\n", "mlab.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x, y, z = np.mgrid[-2:3, -2:3, -2:3]\n", "u = y**3 - 9*y\n", "v = x**3 - 9*x\n", "w = x\n", "\n", "a = mlab.quiver3d(x, y, z, u, v, w, colormap = 'gist_earth')\n", "mlab.fig(bgcolor = (0,0,0))\n", "\n", "for i in range(50):\n", " mlab.view(65, -65)\n", " mlab.view(azimuth= 3.6*i, elevation=-60, distance=10)\n", " mlab.process_ui_events()\n", " time.sleep = 0.005\n", " mlab.savefig('curl_%02d.png' % i)\n", " \n", "\n", "x, y, z = np.mgrid[-2:3, -2:3, -2:3]\n", "p = x\n", "q = y\n", "r = 4.5*(x**2 - y**2)\n", "\n", "b = mlab.quiver3d(x, y, z, p, q, r, colormap = 'gist_earth')\n", "for j in range(25):\n", " mlab.view(65, -65)\n", " mlab.view(azimuth= 3.6*j, elevation=-60, distance=10)\n", " mlab.process_ui_events()\n", " time.sleep = 0.005\n", " mlab.savefig('curl2_%02d.png' % j)" ] }, { "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": "3.6.9" } }, "nbformat": 4, "nbformat_minor": 4 }