Simple exercise resolved as an example

Author: koldLight

notebooks/soluciones/02_pandas.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Ponemos como ruta principal la carpeta padre de \"soluciones\"\n",
+    "# para que las rutas relativas queden igual que en la carpeta de notebooks\n",
+    "import paths\n",
+    "\n",
+    "# Otras dependencias\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Ejercicio\n",
+    "\n",
+    "* Carga en un dataframe de pandas el csv `dat/alquiler-madrid-municipios.csv` en una variable que se llame `alquiler_municipios`\n",
+    "* Examina las primeras y últimas filas\n",
+    "* Extrae el número de filas y columnas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lectura en un dataframe del fichero CSV\n",
+    "alquiler_municipios = pd.read_csv(\"dat/alquiler-madrid-distritos.csv\")\n",
+    "\n",
+    "# Examino las primeras filas\n",
+    "alquiler_municipios.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Examino las últimas filas\n",
+    "alquiler_municipios.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Extraigo el número de filas y columnas: (filas, columnas)\n",
+    "alquiler_municipios.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "libropython",
+   "language": "python",
+   "name": "libropython"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

notebooks/soluciones/paths.py

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+import os
+
+os.chdir("..")