{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy as np\n", "t, k, dk = np.loadtxt('exp1.csv', skiprows=2, delimiter=',', unpack=True)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "print(k)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "plt.plot(1/t, np.log(k))\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "plt.errorbar(1/t, np.log(k), yerr=dk/k, marker='o', linestyle='')\n", "plt.xlabel('1/T (K$^{-1}$)')\n", "plt.ylabel('ln(k)')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib as mpl\n", "mpl.rcParams['axes.grid'] = True\n", "mpl.rcParams['ytick.direction'] = 'in'\n", "mpl.rcParams['xtick.labelsize'] = 20\n", "mpl.rcParams['axes.facecolor'] = 'g'\n", "import matplotlib.pyplot as plt\n", "plt.errorbar(1/t, np.log(k), yerr=dk/k, marker='^', linestyle='', color='#34a5daff')\n", "plt.xlabel('1/T (K$^{-1}$)')\n", "plt.ylabel('ln(k)')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "mpl.rcParams.keys()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "sns.set('talk', palette='colorblind')\n", "plt.errorbar(1/t, np.log(k), yerr=dk/k, marker='o', linestyle='')\n", "plt.xlabel('1/T (K$^{-1}$)')\n", "plt.ylabel('ln(k)')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "sns.set('talk', palette='colorblind')\n", "plt.errorbar(1/t, np.log(k), yerr=dk/k, marker='o', linestyle='')\n", "plt.errorbar(1/t, np.log(k)+0.1, yerr=dk/k, marker='o', linestyle='')\n", "plt.errorbar(1/t, np.log(k)+0.2, yerr=dk/k, marker='o', linestyle='')\n", "plt.errorbar(1/t, np.log(k)+0.3, yerr=dk/k, marker='o', linestyle='')\n", "plt.xlabel('1/T (K$^{-1}$)')\n", "plt.ylabel('ln(k)')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "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": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }