{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from fem_sol import frap_solver" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "f = frap_solver([], 'Meshes/multi_drop_gauss.xml', T=2)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "f.solve_frap()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "font = {'family' : 'normal',\n", " 'weight' : 'normal',\n", " 'size' : 12}\n", "import matplotlib\n", "matplotlib.rc('font', **font)\n", "\n", "def make_graph_pretty(xlab, ylab, loc=0, markerfirst=True, handlelength=None):\n", " color1 = 'black'#'darkorange'\n", " color2 = (0, 0, 0)\n", " color2 = (1, 1, 1)\n", " ax = plt.gca()\n", " ax.tick_params(axis='x', colors=color1, which='both')\n", " ax.tick_params(axis='y', colors=color1, which='both')\n", " plt.xlabel(xlab, color=color1)\n", " plt.ylabel(ylab, color=color1)\n", " ax.spines['left'].set_color(color1)\n", " ax.spines['bottom'].set_color(color1)\n", " # Hide the right and top spines\n", " ax.spines['right'].set_visible(False)\n", " ax.spines['top'].set_visible(False)\n", " ax.set_facecolor(color2)\n", " plt.gcf().subplots_adjust(bottom=0.17, left=0.15)\n", " plt.legend(frameon=False, loc=loc, labelspacing=0.1,\n", " markerfirst=markerfirst, handlelength=handlelength)\n", "\n", "for i in range(len(cs[0])):\n", " plt.plot([np.mean(x[1:49])/0.8 for x in cs[0][0:i]], label='dist=0.5')\n", " plt.plot([np.mean(x[1:49])/0.8 for x in cs[1][0:i]], label='dist=1')\n", " plt.plot([np.mean(x[1:49])/0.8 for x in cs[2][0:i]], label='dist=1.5')\n", " plt.plot(range(0, 100), np.ones(100), linestyle='--', color='k')\n", " plt.ylim((0, 1.1))\n", " plt.xlim((0, 100))\n", " make_graph_pretty('t (a.u.)', 'intensity (a.u)', loc=4)\n", " plt.savefig('img_'+str(i)+'.png', dpi=300)\n", " plt.show()" ] }, { "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": "3.8.2" } }, "nbformat": 4, "nbformat_minor": 4 }