Adjusted promotion section.

Author: MaxBlesch

.gitmodules

@@ -10,3 +10,6 @@
 [submodule "promotion/project_description/bibliography"]
 	path = promotion/project_description/bibliography
 	url = https://github.com/eisenhauerIO/bibliography.git
+[submodule "promotion/replication/zurcher_data"]
+	path = promotion/replication/zurcher_data
+	url = https://github.com/OpenSourceEconomics/zurcher_data.git

promotion/figure_1/figure_1.png

@@ -0,0 +1,94 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Make sure to update submodule zurcher_data. Otherwise this notebook doesn't work\n",
+    "import yaml\n",
+    "import os\n",
+    "import pandas as pd\n",
+    "from zurcher_data.data.data_reading import data_reading\n",
+    "from zurcher_data.data.data_processing import data_processing\n",
+    "\n",
+    "from ruspy.estimation.estimation import estimate\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open(\"init_replication.yml\") as y:\n",
+    "    init_dict = yaml.safe_load(y)\n",
+    "\n",
+    "data_reading()\n",
+    "data = data_processing(init_dict[\"replication\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'state_count': array([[68, 94,  9, ...,  0,  0,  0],\n",
+      "       [ 0, 44, 59, ...,  0,  0,  0],\n",
+      "       [ 0,  0, 47, ...,  0,  0,  0],\n",
+      "       ...,\n",
+      "       [ 0,  0,  0, ...,  1,  1,  0],\n",
+      "       [ 0,  0,  0, ...,  0,  1,  1],\n",
+      "       [ 0,  0,  0, ...,  0,  0,  1]]), 'x': array([0.39189189, 0.59529357, 0.01281454]), 'fun': 3140.5705570938244, 'trans_count': array([1682, 2555,   55])}       fun: 163.58583992399042\n",
+      " hess_inv: <2x2 LbfgsInvHessProduct with dtype=float64>\n",
+      "      jac: array([-2.84217094e-05,  1.16529009e-04])\n",
+      "  message: b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'\n",
+      "     nfev: 42\n",
+      "      nit: 12\n",
+      "   status: 0\n",
+      "  success: True\n",
+      "        x: array([10.07780762,  2.29417622])\n"
+     ]
+    }
+   ],
+   "source": [
+    "result_transitions, result_fixp = estimate(init_dict[\"replication\"], data, repl_4=True)\n",
+    "print(result_transitions, result_fixp)"
+   ]
+  },
+  {
+   "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": "3.7.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}