UT04 - Ejemplos y Ejercicios de Numpy 3

Author: rvsweb

PIA/UT04. Librerías de programación de Aprendizaje Automático con Python/Librerias/Pandas/Ejecicios/31_Ejercicios_Pandas_vol_1.ipynb

@@ -49,6 +49,8 @@
       },
       "outputs": [],
       "source": [
+        "import numpy as np\n",
+        "\n",
         "import pandas as pd\n",
         "\n",
         "# Crear la primera serie\n",
@@ -88,7 +90,16 @@
         "id": "ut0CenZ2fKlL"
       },
       "outputs": [],
-      "source": []
+      "source": [
+        "# Crear un diccionario\n",
+        "mi_diccionario = {'a': 1, 'b': 2, 'c': 3}\n",
+        "\n",
+        "# Crear una serie a partir del diccionario\n",
+        "mi_serie = pd.Series(mi_diccionario)\n",
+        "\n",
+        "# Mostrar la serie\n",
+        "print(mi_serie)"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -116,7 +127,23 @@
         "id": "p7Y0PVsFfLbu"
       },
       "outputs": [],
-      "source": []
+      "source": [
+        "import pandas as pd\n",
+        "\n",
+        "# Crear una matriz de numpy con al menos 3 filas y 3 columnas\n",
+        "matriz = np.array([['', 'col1', 'col2', 'col3'],\n",
+        "                   ['fila1', 1, 2, 3],\n",
+        "                   ['fila2', 4, 5, 6],\n",
+        "                   ['fila3', 7, 8, 9]])\n",
+        "\n",
+        "# Crear un dataframe a partir de la matriz\n",
+        "df = pd.DataFrame(data=matriz[1:,1:],\n",
+        "                  index=matriz[1:,0],\n",
+        "                  columns=matriz[0,1:])\n",
+        "\n",
+        "# Mostrar el dataframe\n",
+        "print(df)\n"
+      ]
     },
     {
       "cell_type": "markdown",