Laboratorios

antoniosql · Jan 11, 2025 · b867791 · b867791
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diff --git a/Notebooks/02_01_Repaso Basico Pandas.ipynb b/Notebooks/02_01_Repaso Basico Pandas.ipynb
@@ -1879,7 +1879,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -1950,7 +1950,7 @@
        "3   camiseta      20     4.2             Ropa"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1980,7 +1980,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -2032,7 +2032,7 @@
        "1             Ropa    30.0     4.1"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2041,6 +2041,91 @@
     "datos_categorias = df.groupby('categoria_nombre').agg({'precio':'mean', 'rating':'mean'}).reset_index()\n",
     "datos_categorias"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>nombre</th>\n",
+       "      <th>precio</th>\n",
+       "      <th>rating</th>\n",
+       "      <th>categoria_nombre</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>ordenador</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>Electrónica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>tablet</td>\n",
+       "      <td>500</td>\n",
+       "      <td>4.7</td>\n",
+       "      <td>Electrónica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>pantalón</td>\n",
+       "      <td>40</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>Ropa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>camiseta</td>\n",
+       "      <td>20</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>Ropa</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      nombre  precio  rating categoria_nombre\n",
+       "0  ordenador    1000     4.5      Electrónica\n",
+       "1     tablet     500     4.7      Electrónica\n",
+       "2   pantalón      40     4.0             Ropa\n",
+       "3   camiseta      20     4.2             Ropa"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Para ordenar un dataframe por una columna en concreto, podemos utilizar el método sort_values\n",
+    "\n",
+    "df.sort_values(by='precio', ascending=False , inplace=True) ## Ordenamos por precio de mayor a menor\n",
+    "df.head()"
+   ]
   }
  ],
  "metadata": {

diff --git a/Notebooks/02_02_Pandas y Bases de Datos.ipynb b/Notebooks/02_02_Pandas y Bases de Datos.ipynb
@@ -33,8 +33,8 @@
     "    resultado = cursor.fetchall() # Obtenemos todas las filas de la consulta\n",
     "    cursor.close() \n",
     "    cnx.close()\n",
-    "except mysql.connector.Error as err:\n",
-    "    print(\"Error conectando a la base de datos \" + err)\n",
+    "except :\n",
+    "    print(\"Error conectando a la base de datos \")\n",
     "    \n"
    ]
   },

diff --git a/Notebooks/03_01_Nulos y repetidos.ipynb b/Notebooks/03_01_Nulos y repetidos.ipynb
@@ -105,9 +105,7 @@
       ]
      },
      "execution_count": 1,
-     "metadata": {
-      "tags": []
-     },
+     "metadata": {},
      "output_type": "execute_result"
     }
    ],
@@ -127,6 +125,15 @@
     "#La función StringIO solo se usa para facilitar la demostración para simular que tenemos un fichero real."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.head()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 2,

diff --git a/Notebooks/04_02_Codificacion de Variables.ipynb b/Notebooks/04_02_Codificacion de Variables.ipynb
@@ -1969,7 +1969,7 @@
    "toc_visible": true
   },
   "kernelspec": {
-   "display_name": "entornoIFFE",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -1983,7 +1983,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.13.1"
+   "version": "3.12.6"
   }
  },
  "nbformat": 4,

diff --git a/Notebooks/Ejercicio 01.ipynb b/Notebooks/Ejercicio 01.ipynb