template/figures/figures-template.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "65cbe2ec-de72-44d4-8af9-a969b06134a9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rcParams\n",
    "rcParams.update({'font.size': 16})\n",
    "# TUDelft colors palette\n",
    "colors = [\"#0C2340\",\"#00B8C8\",\"#0076C2\",\"#6F1D77\",\"#EF60A3\",\"#A50034\",\"#E03C31\",\"#EC6842\",\"#FFB81C\",\"#6CC24A\",\"#009B77\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Template #1**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# -----------------------------------------------------------------\n",
    "plot_title                  = \"this is the title\"\n",
    "font                        = \"Arial\"\n",
    "x_label                     = \"xlabel [$x-units$]\"\n",
    "y_label                     = \"ylabel [$y-units$]\"\n",
    "legend                      = False\n",
    "grid                        = False\n",
    "save_svg                    = True\n",
    "remove_ticks                = True\n",
    "remove_ticks_labels         = True\n",
    "file_name                   = \"template_blank\"\n",
    "# -----------------------------------------------------------------\n",
    "\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "ax = fig.add_subplot() # axes_class=AxesZero)\n",
    "ax.set_title(plot_title, fontfamily=font)\n",
    "\n",
    "ax.set_xlabel(x_label, fontfamily=font)\n",
    "ax.set_ylabel(y_label, fontfamily=font)\n",
    "\n",
    "plt.setp(ax.spines.values(), linewidth=2)\n",
    "ax.spines[\"left\"].set_position((\"data\", 0))\n",
    "ax.spines[\"bottom\"].set_position((\"data\", 0))\n",
    "ax.spines[\"top\"].set_visible(False)\n",
    "ax.spines[\"right\"].set_visible(False)\n",
    "\n",
    "ax.tick_params(axis='x', labelsize=13, width=2, length=8)\n",
    "ax.tick_params(axis='y', labelsize=13, width=2, length=8)\n",
    "\n",
    "if grid: ax.grid()\n",
    "if legend: ax.legend(prop={\"family\":font})\n",
    "if remove_ticks: ax.set_xticks([]); ax.set_yticks([])\n",
    "if remove_ticks_labels: ax.set_xticklabels([]); ax.set_yticklabels([])\n",
    "if save_svg: plt.savefig(file_name + '.svg')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "fc2eb45c-9f4e-4fbd-91c3-dc0ff10b4c46",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# -----------------------------------------------------------------\n",
    "plot_title                  = \"\"\n",
    "font                        = \"Arial\"\n",
    "x_label                     = \"Year\"\n",
    "y_label                     = \"Normalized Present Value [$-$]\"\n",
    "legend                      = True\n",
    "grid                        = False\n",
    "save_svg                    = True\n",
    "remove_ticks                = False\n",
    "remove_ticks_labels         = False\n",
    "file_name                   = \"template_exp_decay\"\n",
    "# -----------------------------------------------------------------\n",
    "\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "ax = fig.add_subplot() # axes_class=AxesZero)\n",
    "ax.set_title(plot_title, fontfamily=font)\n",
    "ax.set_xlabel(x_label, fontfamily=font)\n",
    "ax.set_ylabel(y_label, fontfamily=font)\n",
    "\n",
    "plt.setp(ax.spines.values(), linewidth=2)\n",
    "ax.spines[\"left\"].set_position((\"data\", 0))\n",
    "ax.spines[\"bottom\"].set_position((\"data\", 0))\n",
    "ax.spines[\"top\"].set_visible(False)\n",
    "ax.spines[\"right\"].set_visible(False)\n",
    "\n",
    "t = np.linspace(0,101)\n",
    "y_2 = 1 / (1 + 0.02)**t\n",
    "y_4 = 1 / (1 + 0.04)**t\n",
    "\n",
    "# plotting\n",
    "ax.plot(t, y_2, label='2%', color=colors[0], linewidth=4)\n",
    "ax.plot(t, y_4, label='4%', color=colors[1], linewidth=4)\n",
    "ax.plot(1, 0, \">k\", transform=ax.get_yaxis_transform(), clip_on=False)\n",
    "ax.plot(0, 1, \"^k\", transform=ax.get_xaxis_transform(), clip_on=False)\n",
    "\n",
    "# not a permanent solution (removed the part below 0)\n",
    "# ---> find a better way to auto set upper bound\n",
    "ax.spines.bottom.set_bounds(0, 105)\n",
    "ax.spines.left.set_bounds(0, 1.05)\n",
    "\n",
    "ax.tick_params(axis='x', labelsize=13, width=2, length=8)\n",
    "ax.tick_params(axis='y', labelsize=13, width=2, length=8)\n",
    "\n",
    "if grid: ax.grid()\n",
    "if legend: ax.legend(prop={\"family\":font})\n",
    "if remove_ticks: ax.set_xticks([]); ax.set_yticks([])\n",
    "if remove_ticks_labels: ax.set_xticklabels([]); ax.set_yticklabels([])\n",
    "if save_svg: plt.savefig(file_name + '.svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Template #3**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a19d456c-b5d3-43d6-8b51-1441f902985d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# -----------------------------------------------------------------\n",
    "plot_title                  = \"Cumulative distribution function, $F_{N}(n) = P(N \\leq n)$\"\n",
    "font                        = \"Arial\"\n",
    "x_label                     = \"Fatalities [$-$]\"\n",
    "y_label                     = \"Probability [$-$]\"\n",
    "legend                      = False\n",
    "grid                        = False\n",
    "save_svg                    = True\n",
    "remove_ticks                = False\n",
    "remove_ticks_labels         = False\n",
    "file_name                   = \"template_cdf\"\n",
    "# -----------------------------------------------------------------\n",
    "\n",
    "fig = plt.figure(figsize=(8,6))\n",
    "ax = fig.add_subplot() # axes_class=AxesZero)\n",
    "plt.setp(ax.spines.values(), linewidth=2.0)\n",
    "\n",
    "ax.set_title(plot_title, fontfamily=font, x=0.55, y=1.0)\n",
    "ax.set_xlabel(x_label, fontfamily=font)\n",
    "ax.set_ylabel(y_label, fontfamily=font)\n",
    "\n",
    "# data\n",
    "N_fatalities = ['0', '10', '100', '']\n",
    "N_fatalities_loc = [0.03, 0.33, 0.76, 0.95]\n",
    "pdf = ['0', '0.989', '0.999', '1']\n",
    "pdf_loc = [0.03, 0.66, 0.86, 0.99]\n",
    "\n",
    "# plotting\n",
    "ax.step(N_fatalities_loc, pdf_loc, color=colors[0], linewidth=4)\n",
    "\n",
    "# ticks\n",
    "ax.set_xticks(N_fatalities_loc)\n",
    "ax.set_xticklabels(N_fatalities)\n",
    "ax.set_yticks(pdf_loc)\n",
    "ax.set_yticklabels(pdf)\n",
    "ax.tick_params(axis='x', labelsize=13, width=2, length=8)\n",
    "ax.tick_params(axis='y', labelsize=13, width=2, length=8)\n",
    "\n",
    "# add text\n",
    "ax.text(0.8, 0.9, r'} $10^{-3}$', fontsize=16, fontfamily=font)\n",
    "ax.text(0.37, 0.725, r'} $10^{-2}$', fontsize=16, fontfamily=font)\n",
    "\n",
    "current_values = plt.gca().get_yticks()\n",
    "plt.gca().set_yticklabels(['{:,.3f}'.format(x) for x in current_values])\n",
    "\n",
    "if grid: ax.grid()\n",
    "if legend: ax.legend(prop={\"family\":font})\n",
    "if remove_ticks: ax.set_xticks([]); ax.set_yticks([])\n",
    "if remove_ticks_labels: ax.set_xticklabels([]); ax.set_yticklabels([])\n",
    "if save_svg: plt.savefig(file_name + '.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "629e2cf8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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