{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Tex\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib\nimport matplotlib.pyplot as plt\nfrom matplotlib import rc\nimport numpy as np\n\n# http://matplotlib.org/users/customizing.html\n# matplotlib.rcParams[\"text.latex.unicode\"] = True  # latex unicode\nmatplotlib.rcParams[\"font.family\"] = \"serif\"\n# matplotlib.rcParams[\"text.latex.preamble\"] = [r\"\\usepackage{lmodern}\"]\nrc(\"text\", usetex=True)\n\ndef plot_figure(title: str, xLabel: str, yLabel: str, usetex: bool):\n    plt.figure(1, figsize=(6.29921, 5))  # create a new figure window\n    # ax = plt.axes([0.1, 0.1, 0.8, 0.7])\n    t = np.arange(0.0, 1.0 + 0.01, 0.01)\n    s = np.cos(2 * 2 * np.pi * t) + 2\n    \n    plt.plot(t, s)  # plot line\n    \n    plt.xlabel(xLabel)  # x axis label\n    plt.ylabel(yLabel)  # y axis label\n    plt.title(title, fontsize=16, color=\"r\")  # title\n    \n    plt.grid(True)  # create grid\n    \n    spaceToBorder = 0.15\n    plt.subplots_adjust(\n        left=spaceToBorder,\n        right=1 - spaceToBorder,\n        top=1 - spaceToBorder,\n        bottom=spaceToBorder,\n    )  # adjust the space to the border of the figure\n    \n    plt.show()  # show the plot\n    \n    # get current figure\n    current_figure = plt.gcf()\n    \n    # set the keepSizeFixed property of the plot to true:\n    # current_figure.canvas.manager.itomUI[\"keepSizeFixed\"] = True\n    \n    # change the size\n    current_figure.set_dpi(120)\n    current_figure.set_size_inches(\n        6.29921, 5, forward=True\n    )  # 6.29921 inches are 16mm width of a DIN A4 page\n    plt.show()\n    # plt.savefig(\"matplotlib.png\", format=\"png\")\n\n\nmatplotlib.rcParams[\"text.usetex\"] = False\n# matplotlib.rcParams[\"text.latex.unicode\"] = False\ntitle = \"TeX is Number $\\sum_{n=1}^\\infty \\frac{-e^{i\\pi}}{2^n}$!\"\nxLabel = \"time [s]\"\nyLabel = \"velocity [\\xb0/sec]\"\nplot_figure(title, xLabel, yLabel, False)\n\nmatplotlib.rcParams[\"text.usetex\"] = True\n# matplotlib.rcParams[\"text.latex.unicode\"] = False\ntitle = r\"\\TeX\\ is Number $\\sum\\limits_{n=1}^\\infty \\frac{-e^{i\\pi}}{2^n}$!\"\nxLabel = r\"time [s]\"\nyLabel = r\"\\textit{velocity [\\ensuremath{^\\circ}/sec]}\"\nplot_figure(title, xLabel, yLabel, True)\n\n\nmatplotlib.rcParams[\"text.usetex\"] = True\n# matplotlib.rcParams[\"text.latex.unicode\"] = True\ntitle = r\"\\TeX\\ is Number $\\sum\\limits_{n=1}^\\infty \\frac{-e^{i\\pi}}{2^n}$!\"\nxLabel = r\"\\textbf{time [s]}\"\nyLabel = u\"\\\\textit{velocity [\\xb0/sec]}\"\nplot_figure(title, xLabel, yLabel, True)"
      ]
    }
  ],
  "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": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}