{"cells":[{"cell_type":"markdown","source":"# Manipulacion de series y dataframes (Ejemplo en vivo)","metadata":{"id":"DZAYHjI6ZeEL","cell_id":"ebae676bc69547bd9e652d9cae9ed7fa","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"# Vamos a crear una estructura de serie\nimport pandas as pd\nserie= pd.Series(data=[1,2,3,4],index=['David','Juan',1,2],name='SerieX')\nserie","metadata":{"id":"muZ-KWpxZhsT","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"50ef039bfc114100bb161a7ba8075459","outputId":"00d5450e-be52-4c7a-d7cb-ef6ef9678adf","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":5,"user_tz":300,"timestamp":1640301713510},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"David    1\nJuan     2\n1        3\n2        4\nName: SerieX, dtype: int64"},"metadata":{},"execution_count":3}],"execution_count":null},{"cell_type":"code","source":"# Algunas propiedades de la serie\nprint('Indice de la serie:',serie.index)\nprint('Valores de la serie:',serie.values)\nprint('Longitud de serie:',serie.count())\n# Verificar nulos en la serie\nserie.isna()","metadata":{"id":"x-VwR4c4mfP9","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"5eb3a1c6471540f8a3c635d36888b6d4","outputId":"2ce43cd7-6e8b-4fff-b94c-91990470ddc2","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":313,"user_tz":300,"timestamp":1640301926617},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"Indice de la serie: Index(['David', 'Juan', 1, 2], dtype='object')\nValores de la serie: [1 2 3 4]\nLongitud de serie: 4\n"},{"output_type":"execute_result","data":{"text/plain":"David    False\nJuan     False\n1        False\n2        False\nName: SerieX, dtype: bool"},"metadata":{},"execution_count":8}],"execution_count":null},{"cell_type":"code","source":"# Filtrar un indice\nserie.loc['David']","metadata":{"id":"2Y6KLud9nXRH","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"11c7fb3439f745288d6ee716110d5e1d","outputId":"0fa31634-c4f3-4eff-83f7-0d3b93303042","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":261,"user_tz":300,"timestamp":1640301965013},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"1"},"metadata":{},"execution_count":10}],"execution_count":null},{"cell_type":"code","source":"# Filtrar pero de otra forma\nserie.iloc[0]","metadata":{"id":"H0qo33OynbaM","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"bed90b53b57045c9990f155892e5cd10","outputId":"4d3c749a-eb88-403d-e7b6-2bbb62081ece","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":383,"user_tz":300,"timestamp":1640301972708},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"1"},"metadata":{},"execution_count":11}],"execution_count":null},{"cell_type":"code","source":"# Filtrar varios indices\nserie.loc[['David',1]]","metadata":{"id":"zTsXcmK2ngO3","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"3ecc00456a0a44e8b6655f5135e88639","outputId":"5e4dcb9c-f569-4143-86a6-a2ad5d8cf8d5","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":309,"user_tz":300,"timestamp":1640302000178},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"David    1\n1        3\nName: SerieX, dtype: int64"},"metadata":{},"execution_count":13}],"execution_count":null},{"cell_type":"code","source":"import numpy as np\nserie_2= pd.Series(data=[1,2,5,6,np.nan , 20,np.nan])\nserie_2","metadata":{"id":"nMCii5Nen2u9","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"8d2ec03612384e65838d16d096236cd2","outputId":"b763ba3d-640e-46c0-d1b0-ba861d116ef0","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":7,"user_tz":300,"timestamp":1640302162436},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"0     1.0\n1     2.0\n2     5.0\n3     6.0\n4     NaN\n5    20.0\n6     NaN\ndtype: float64"},"metadata":{},"execution_count":19}],"execution_count":null},{"cell_type":"code","source":"# Suma de nulos\nserie_2.isnull().sum()","metadata":{"id":"pybnOTlEoNLP","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"145fba46b2b54d1ab0dabb439430eafe","outputId":"96a90fe0-2ab4-4131-f60e-686d3e5ee1ab","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":4,"user_tz":300,"timestamp":1640302197609},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"2"},"metadata":{},"execution_count":22}],"execution_count":null},{"cell_type":"code","source":"# Conteo de valores no tiene en cuenta los NaN\nserie_2.value_counts()","metadata":{"id":"n8Om7dPIoVT-","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"1fb059fc8b68494d9a13083ad3a8ba1a","outputId":"734d5944-bcbd-46bd-8b3b-04893870f0e6","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":414,"user_tz":300,"timestamp":1640302290589},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"20.0    1\n6.0     1\n5.0     1\n2.0     1\n1.0     1\ndtype: int64"},"metadata":{},"execution_count":23}],"execution_count":null},{"cell_type":"code","source":"# Creemos un dataframe\nvalores= [1000, 3500, 3000, 4000, 3000 , 2450]\nnombres= ['David','Juan','Pedro','Lucas','Andrea','Felipe']\ngenero=['M','M','M','M','F','M']\ndf= pd.DataFrame(data={'salarios':valores, 'genero':genero},index=nombres)\ndf","metadata":{"id":"VXzbE9vwovjP","colab":{"height":238,"base_uri":"https://localhost:8080/"},"cell_id":"df2ca4cf94e74c478ea74298a83886be","outputId":"3e9c53c2-3630-4faa-db48-f2c77226a72c","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":269,"user_tz":300,"timestamp":1640302619052},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-9b43995f-b0aa-4638-8c12-f75cea021588\">\n    <div class=\"colab-df-container\">\n      <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>salarios</th>\n      <th>genero</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>David</th>\n      <td>1000</td>\n      <td>M</td>\n    </tr>\n    <tr>\n      <th>Juan</th>\n      <td>3500</td>\n      <td>M</td>\n    </tr>\n    <tr>\n      <th>Pedro</th>\n      <td>3000</td>\n      <td>M</td>\n    </tr>\n    <tr>\n      <th>Lucas</th>\n      <td>4000</td>\n      <td>M</td>\n    </tr>\n    <tr>\n      <th>Andrea</th>\n      <td>3000</td>\n      <td>F</td>\n    </tr>\n    <tr>\n      <th>Felipe</th>\n      <td>2450</td>\n      <td>M</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9b43995f-b0aa-4638-8c12-f75cea021588')\"\n              title=\"Convert this dataframe to an interactive table.\"\n              style=\"display:none;\">\n        \n  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n       width=\"24px\">\n    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n  </svg>\n      </button>\n      \n  <style>\n    .colab-df-container {\n      display:flex;\n      flex-wrap:wrap;\n      gap: 12px;\n    }\n\n    .colab-df-convert {\n      background-color: #E8F0FE;\n      border: none;\n      border-radius: 50%;\n      cursor: pointer;\n      display: none;\n      fill: #1967D2;\n      height: 32px;\n      padding: 0 0 0 0;\n      width: 32px;\n    }\n\n    .colab-df-convert:hover {\n      background-color: #E2EBFA;\n      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n      fill: #174EA6;\n    }\n\n    [theme=dark] .colab-df-convert {\n      background-color: #3B4455;\n      fill: #D2E3FC;\n    }\n\n    [theme=dark] .colab-df-convert:hover {\n      background-color: #434B5C;\n      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n      fill: #FFFFFF;\n    }\n  </style>\n\n      <script>\n        const buttonEl =\n          document.querySelector('#df-9b43995f-b0aa-4638-8c12-f75cea021588 button.colab-df-convert');\n        buttonEl.style.display =\n          google.colab.kernel.accessAllowed ? 'block' : 'none';\n\n        async function convertToInteractive(key) {\n          const element = document.querySelector('#df-9b43995f-b0aa-4638-8c12-f75cea021588');\n          const dataTable =\n            await google.colab.kernel.invokeFunction('convertToInteractive',\n                                                     [key], {});\n          if (!dataTable) return;\n\n          const docLinkHtml = 'Like what you see? Visit the ' +\n            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n            + ' to learn more about interactive tables.';\n          element.innerHTML = '';\n          dataTable['output_type'] = 'display_data';\n          await google.colab.output.renderOutput(dataTable, element);\n          const docLink = document.createElement('div');\n          docLink.innerHTML = docLinkHtml;\n          element.appendChild(docLink);\n        }\n      </script>\n    </div>\n  </div>\n  ","text/plain":"        salarios genero\nDavid       1000      M\nJuan        3500      M\nPedro       3000      M\nLucas       4000      M\nAndrea      3000      F\nFelipe      2450      M"},"metadata":{},"execution_count":28}],"execution_count":null},{"cell_type":"code","source":"# filtremos por genero\ndf_m= df[df['genero']=='M']\nprint(df_m.head())\nprint('------')\ndf_f=df[df['genero']=='F']\nprint(df_f.head())","metadata":{"id":"qsaA9EVopWCt","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"f6f170fc2fb24bd0962d4eef85ab0e09","outputId":"2fbd2e27-bb0b-4924-9a31-03c61f209337","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":5,"user_tz":300,"timestamp":1640302620472},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"        salarios genero\nDavid       1000      M\nJuan        3500      M\nPedro       3000      M\nLucas       4000      M\nFelipe      2450      M\n------\n        salarios genero\nAndrea      3000      F\n"}],"execution_count":null},{"cell_type":"code","source":"# Otra forma\ncondicion_h = df['genero']=='M'\ncondicion_m = df['genero']=='F'\nprint(df[condicion_h])\nprint('-------------')\nprint(df[condicion_m])","metadata":{"id":"Pv2Nwu0BqgZ0","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"807c69c5914f4126a21dd1a091137625","outputId":"aa91cc01-7bf2-4b91-da5a-ad0f9975c4d9","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":440,"user_tz":300,"timestamp":1640302832683},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"        salarios genero\nDavid       1000      M\nJuan        3500      M\nPedro       3000      M\nLucas       4000      M\nFelipe      2450      M\n-------------\n        salarios genero\nAndrea      3000      F\n"}],"execution_count":null},{"cell_type":"code","source":"# Algunas cosas adicionales\ndf.loc['David'][['salarios','genero']]","metadata":{"id":"s_KCupa4ptGH","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"6d33afd80ed64bc98d36a2e6112b976b","outputId":"332c27cc-843c-4bbc-f084-124231690730","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":309,"user_tz":300,"timestamp":1640302721082},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"salarios    1000\ngenero         M\nName: David, dtype: object"},"metadata":{},"execution_count":37}],"execution_count":null},{"cell_type":"code","source":"df.loc[['David','Juan']][['salarios','genero']]","metadata":{"id":"6XxDVtzAqUZ4","colab":{"height":112,"base_uri":"https://localhost:8080/"},"cell_id":"30823f7cb1284e84a493426a3e614584","outputId":"1cacf7fa-bacc-4337-bc11-53801be8e8a4","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":264,"user_tz":300,"timestamp":1640302733762},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-ed947e02-bccd-4bf5-9e9d-3421082c7f5b\">\n    <div class=\"colab-df-container\">\n      <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>salarios</th>\n      <th>genero</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>David</th>\n      <td>1000</td>\n      <td>M</td>\n    </tr>\n    <tr>\n      <th>Juan</th>\n      <td>3500</td>\n      <td>M</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ed947e02-bccd-4bf5-9e9d-3421082c7f5b')\"\n              title=\"Convert this dataframe to an interactive table.\"\n              style=\"display:none;\">\n        \n  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n       width=\"24px\">\n    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n  </svg>\n      </button>\n      \n  <style>\n    .colab-df-container {\n      display:flex;\n      flex-wrap:wrap;\n      gap: 12px;\n    }\n\n    .colab-df-convert {\n      background-color: #E8F0FE;\n      border: none;\n      border-radius: 50%;\n      cursor: pointer;\n      display: none;\n      fill: #1967D2;\n      height: 32px;\n      padding: 0 0 0 0;\n      width: 32px;\n    }\n\n    .colab-df-convert:hover {\n      background-color: #E2EBFA;\n      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n      fill: #174EA6;\n    }\n\n    [theme=dark] .colab-df-convert {\n      background-color: #3B4455;\n      fill: #D2E3FC;\n    }\n\n    [theme=dark] .colab-df-convert:hover {\n      background-color: #434B5C;\n      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n      fill: #FFFFFF;\n    }\n  </style>\n\n      <script>\n        const buttonEl =\n          document.querySelector('#df-ed947e02-bccd-4bf5-9e9d-3421082c7f5b button.colab-df-convert');\n        buttonEl.style.display =\n          google.colab.kernel.accessAllowed ? 'block' : 'none';\n\n        async function convertToInteractive(key) {\n          const element = document.querySelector('#df-ed947e02-bccd-4bf5-9e9d-3421082c7f5b');\n          const dataTable =\n            await google.colab.kernel.invokeFunction('convertToInteractive',\n                                                     [key], {});\n          if (!dataTable) return;\n\n          const docLinkHtml = 'Like what you see? Visit the ' +\n            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n            + ' to learn more about interactive tables.';\n          element.innerHTML = '';\n          dataTable['output_type'] = 'display_data';\n          await google.colab.output.renderOutput(dataTable, element);\n          const docLink = document.createElement('div');\n          docLink.innerHTML = docLinkHtml;\n          element.appendChild(docLink);\n        }\n      </script>\n    </div>\n  </div>\n  ","text/plain":"       salarios genero\nDavid      1000      M\nJuan       3500      M"},"metadata":{},"execution_count":38}],"execution_count":null},{"cell_type":"markdown","source":"# Lectura de csv t txt","metadata":{"id":"WUA7-zARStyN","cell_id":"2e542516c0254cadb326739e9c7e63f1","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"from google.colab import drive\nimport os\ndrive.mount('/content/gdrive')","metadata":{"id":"1X1zRCSjVh_M","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"16a0b60df41848edaa7e1dba39eb1a39","outputId":"8f938195-90ec-47d2-c0d4-d4597a12df37","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":4218,"user_tz":300,"timestamp":1640281125261},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"}],"execution_count":null},{"cell_type":"code","source":"%cd '/content/gdrive/MyDrive'\ndf= pd.read_csv('winequality-red.csv',sep=',')\nprint(df[['density','pH','sulphates','alcohol','quality']].head())","metadata":{"id":"sbNsOIcAXLSC","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"367a15da36b84127a408541797873ef9","outputId":"3654a33a-4c9a-4fe0-e0e4-504d39378337","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":286,"user_tz":300,"timestamp":1640280984514},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"/content/gdrive/MyDrive\n   density    pH  sulphates  alcohol  quality\n0   0.9978  3.51       0.56      9.4        5\n1   0.9968  3.20       0.68      9.8        5\n2   0.9970  3.26       0.65      9.8        5\n3   0.9980  3.16       0.58      9.8        6\n4   0.9978  3.51       0.56      9.4        5\n"}],"execution_count":null},{"cell_type":"code","source":"%cd '/content/gdrive/MyDrive'\ndf= pd.read_csv('pokemon_data.txt',delimiter='\\t')\nprint(df[['Name','Type 1','HP','Attack','Defense']].head())","metadata":{"id":"EewYtQM3XzPL","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"9b96da21c97c47bbaed441fe20ecf718","outputId":"387719b4-6e00-4ec5-e92d-59d2dbc775fe","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":380,"user_tz":300,"timestamp":1640281178996},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"/content/gdrive/MyDrive\n                    Name Type 1  HP  Attack  Defense\n0              Bulbasaur  Grass  45      49       49\n1                Ivysaur  Grass  60      62       63\n2               Venusaur  Grass  80      82       83\n3  VenusaurMega Venusaur  Grass  80     100      123\n4             Charmander   Fire  39      52       43\n"}],"execution_count":null},{"cell_type":"markdown","source":"# Lectura de xlsx","metadata":{"id":"mP1vJAa-S0rV","cell_id":"da28db3dd40e487696f14c9778da79fe","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"%cd '/content/gdrive/MyDrive'\ndf= pd.read_excel('defaultoutput.xlsx')\nprint(df[['index','ID','Year_Birth','Education','Income']].head())","metadata":{"id":"J_zpcwnaS0nQ","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"2ba10e185a844b73ac555180d36d6e5d","outputId":"078328bb-08a0-4564-a58f-08ef9dd355d7","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":2368,"user_tz":300,"timestamp":1640280768637},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"/content/gdrive/MyDrive\n   index    ID  Year_Birth   Education   Income\n0      0  5524        1957  Graduation  58138.0\n1      1  2174        1954  Graduation  46344.0\n2      2  4141        1965  Graduation  71613.0\n3      3  6182        1984  Graduation  26646.0\n4      4  5324        1981         PhD  58293.0\n"}],"execution_count":null},{"cell_type":"markdown","source":"# Lectura desde Github /Apis","metadata":{"id":"R8WGdo9RS2I0","cell_id":"57ec8861782445618f875c7f6e03235b","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"import pandas as pd\n\nurl = 'https://raw.githubusercontent.com/JJTorresDS/stocks-ds-edu/main/stocks.csv'\ndf = pd.read_csv(url, index_col=0)\nprint(df[['AMZN','MCD','SBUX','GOOG','MSFT']].head(5).round(1))","metadata":{"id":"1dpyS-ywTWyw","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"da637be20eaa4521abf392e60f07f7aa","outputId":"18925378-662c-45b9-e842-607434b1ef44","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":267,"user_tz":300,"timestamp":1640280015379},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"                 AMZN    MCD  SBUX   GOOG  MSFT\nformatted_date                                 \n2016-01-01      587.0  106.3  54.4  743.0  49.9\n2016-02-01      552.5  100.7  52.1  697.8  46.0\n2016-03-01      593.6  108.8  53.6  745.0  50.3\n2016-04-01      659.6  109.5  50.5  693.0  45.5\n2016-05-01      722.8  105.6  49.3  735.7  48.3\n"}],"execution_count":null},{"cell_type":"code","source":"!wget -O cars_clus.csv https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/cars_clus.csv","metadata":{"id":"lIO9hU5LUK0O","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"3005b24d769a46c19ca734f0fe48d2d0","outputId":"448390fd-e0de-47f8-8754-273d48e816ba","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":331,"user_tz":300,"timestamp":1640280143893},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"--2021-12-23 17:22:23--  https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/cars_clus.csv\nResolving s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)... 67.228.254.196\nConnecting to s3-api.us-geo.objectstorage.softlayer.net (s3-api.us-geo.objectstorage.softlayer.net)|67.228.254.196|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 17774 (17K) [text/csv]\nSaving to: ‘cars_clus.csv’\n\n\rcars_clus.csv         0%[                    ]       0  --.-KB/s               \rcars_clus.csv       100%[===================>]  17.36K  --.-KB/s    in 0s      \n\n2021-12-23 17:22:23 (136 MB/s) - ‘cars_clus.csv’ saved [17774/17774]\n\n"}],"execution_count":null},{"cell_type":"code","source":"filename = 'cars_clus.csv'\n#Lectura\npdf = pd.read_csv(filename)\nprint (\"Shape: \", pdf.shape)\nprint(pdf[['manufact','model','sales','resale']].head(5))","metadata":{"id":"opv3prIlUL2B","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"fc670415071c4f2db8e0717e133a3e37","outputId":"ddbd76e7-9329-431c-dd01-eee59b7f747c","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":343,"user_tz":300,"timestamp":1640280219921},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"Shape:  (159, 16)\n  manufact    model   sales  resale\n0    Acura  Integra  16.919  16.360\n1    Acura       TL  39.384  19.875\n2    Acura       CL  14.114  18.225\n3    Acura       RL   8.588  29.725\n4     Audi       A4  20.397  22.255\n"}],"execution_count":null},{"cell_type":"markdown","source":"# Adicional (No es necesario en clase)\nLos datos se encuentran en la siguiente link:\n[Data Acciones](https://raw.githubusercontent.com/JJTorresDS/stocks-ds-edu/main/stocks.csv)\n\n","metadata":{"id":"Ofv1tHEg7dVT","cell_id":"4463c173be1846a3ae4b481757fb887a","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"import pandas as pd\n\nurl = 'https://raw.githubusercontent.com/JJTorresDS/stocks-ds-edu/main/stocks.csv'\ndf = pd.read_csv(url, index_col=0)\nprint(df.head(5))","metadata":{"id":"UBQeIbm17wPf","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"d62c898f4eb6485780851aa978ebe491","outputId":"10be5729-75f4-4b1b-c49a-2f5bb8600494","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":508,"user_tz":300,"timestamp":1639585950270},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"                       MCD        SBUX  ...          MA        PYPL\nformatted_date                          ...                        \n2021-01-01      203.187836   95.235695  ...  314.746094  234.309998\n2021-02-01      201.525894  106.273232  ...  352.569061  259.850006\n2021-03-01      220.471207  107.950699  ...  354.761108  242.839996\n2021-04-01      232.215775  113.107674  ...  380.676971  262.290009\n2021-05-01      230.061630  112.505043  ...  359.701202  260.019989\n\n[5 rows x 14 columns]\n"}],"execution_count":null},{"cell_type":"code","source":"df.head()","metadata":{"id":"nwtJItv78FYY","colab":{"height":258,"base_uri":"https://localhost:8080/"},"cell_id":"d0abd60a9fb941338d84f61ad39ca20f","outputId":"8ec49c1a-7cac-4248-c847-a147ffc0c516","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":445,"user_tz":300,"timestamp":1639585966185},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","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>MCD</th>\n      <th>SBUX</th>\n      <th>GOOG</th>\n      <th>AMZN</th>\n      <th>MSFT</th>\n      <th>JPM</th>\n      <th>BAC</th>\n      <th>C</th>\n      <th>MAR</th>\n      <th>HLT</th>\n      <th>RCL</th>\n      <th>V</th>\n      <th>MA</th>\n      <th>PYPL</th>\n    </tr>\n    <tr>\n      <th>formatted_date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2021-01-01</th>\n      <td>203.187836</td>\n      <td>95.235695</td>\n      <td>1835.739990</td>\n      <td>3206.199951</td>\n      <td>230.031799</td>\n      <td>125.517960</td>\n      <td>29.089981</td>\n      <td>56.271671</td>\n      <td>116.309998</td>\n      <td>101.389999</td>\n      <td>65.000000</td>\n      <td>192.070175</td>\n      <td>314.746094</td>\n      <td>234.309998</td>\n    </tr>\n    <tr>\n      <th>2021-02-01</th>\n      <td>201.525894</td>\n      <td>106.273232</td>\n      <td>2036.859985</td>\n      <td>3092.929932</td>\n      <td>230.448318</td>\n      <td>144.598679</td>\n      <td>34.054409</td>\n      <td>64.472809</td>\n      <td>148.070007</td>\n      <td>123.680000</td>\n      <td>93.269997</td>\n      <td>211.093323</td>\n      <td>352.569061</td>\n      <td>259.850006</td>\n    </tr>\n    <tr>\n      <th>2021-03-01</th>\n      <td>220.471207</td>\n      <td>107.950699</td>\n      <td>2068.629883</td>\n      <td>3094.080078</td>\n      <td>234.348633</td>\n      <td>149.570267</td>\n      <td>37.959236</td>\n      <td>71.196068</td>\n      <td>148.110001</td>\n      <td>120.919998</td>\n      <td>85.610001</td>\n      <td>210.764023</td>\n      <td>354.761108</td>\n      <td>242.839996</td>\n    </tr>\n    <tr>\n      <th>2021-04-01</th>\n      <td>232.215775</td>\n      <td>113.107674</td>\n      <td>2410.120117</td>\n      <td>3467.419922</td>\n      <td>250.659698</td>\n      <td>151.122665</td>\n      <td>39.961990</td>\n      <td>69.718323</td>\n      <td>148.520004</td>\n      <td>128.699997</td>\n      <td>86.949997</td>\n      <td>232.494446</td>\n      <td>380.676971</td>\n      <td>262.290009</td>\n    </tr>\n    <tr>\n      <th>2021-05-01</th>\n      <td>230.061630</td>\n      <td>112.505043</td>\n      <td>2411.560059</td>\n      <td>3223.070068</td>\n      <td>248.174774</td>\n      <td>162.320847</td>\n      <td>41.795921</td>\n      <td>77.564484</td>\n      <td>143.580002</td>\n      <td>125.269997</td>\n      <td>93.269997</td>\n      <td>226.263016</td>\n      <td>359.701202</td>\n      <td>260.019989</td>\n    </tr>\n  </tbody>\n</table>\n</div>","text/plain":"                       MCD        SBUX  ...          MA        PYPL\nformatted_date                          ...                        \n2021-01-01      203.187836   95.235695  ...  314.746094  234.309998\n2021-02-01      201.525894  106.273232  ...  352.569061  259.850006\n2021-03-01      220.471207  107.950699  ...  354.761108  242.839996\n2021-04-01      232.215775  113.107674  ...  380.676971  262.290009\n2021-05-01      230.061630  112.505043  ...  359.701202  260.019989\n\n[5 rows x 14 columns]"},"metadata":{},"execution_count":2}],"execution_count":null},{"cell_type":"markdown","source":"Miremos el tamaño de nuestro datraframe","metadata":{"id":"b2VuYDsS8Ihe","cell_id":"dc41c1c611cc45ba825638e1c8d58b1b","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"df.shape","metadata":{"id":"QeyozF0i8Kfb","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"a563d3a3021e4f56866c0f3faeab820e","outputId":"e5613da0-579d-44b7-ad4e-2b0c43a86207","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":12,"user_tz":300,"timestamp":1639585986888},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"(11, 14)"},"metadata":{},"execution_count":3}],"execution_count":null},{"cell_type":"markdown","source":"11 filas x 14 columnas","metadata":{"id":"ZJAOuD7O8LjI","cell_id":"605c1ff9b71e4c32b90d14074523d04c","deepnote_cell_type":"markdown"}},{"cell_type":"markdown","source":"Las columnas son los precios de acciones de:\n\n1. MCD: Macdonals\n2. SBUX: Starbucks\n3. GOOG: Google\n4. AMZN: Amazon\n5. MSFT: Microsoft\n6. JPM: JPMorgan Chase & Co.\n7. BAC: Bank of America Corp\n8. C: Citigroup\n9. MAR: Pharma MAr\n10. HLT: Hoteles Hilton\n11. RCL: Royal Caribbean Cruises\n12. V: Visa Inc.\n13. MA: Mastercard \n14. PYPL: Paypal","metadata":{"id":"ytyHdFzvC6ed","cell_id":"aee1afba2c614c5c80b5dea87dcb6af3","deepnote_cell_type":"markdown"}},{"cell_type":"markdown","source":"# Analizando el comportamiento de una serie de tiempo","metadata":{"id":"b9n7zuxd8Njf","cell_id":"6b3af5354b64481592f64c76ffa2d2a0","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"df['MCD'].plot(kind='line',figsize=(10,6),xlabel='Fecha', ylabel='Precio Accion', title='Precio Accion vs Fecha')","metadata":{"id":"bDXqJ3mW8RLY","colab":{"height":421,"base_uri":"https://localhost:8080/"},"cell_id":"a252c866e34248ed9e4a408cccd79664","outputId":"b8a6cf56-dc5a-43e4-8c98-2e4e0d11b6e2","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":673,"user_tz":300,"timestamp":1639586145405},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 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\n","text/plain":"<Figure size 720x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":null},{"cell_type":"markdown","source":"Se observa un comportamiento creciente entre el 01/01/21 hasta el 11/01/2021 ","metadata":{"id":"h5j609z182p2","cell_id":"39de6c954b6f480dbad7171be59374a9","deepnote_cell_type":"markdown"}},{"cell_type":"markdown","source":"# Grafiquemos todas las series de tiempo","metadata":{"id":"16OmymQ59Bal","cell_id":"2ee513d5595e459f9ea661e9d6b8c9c6","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"df.plot(kind='line',figsize=(15,6),xlabel='Fecha', ylabel='Precio Accion', title='Precio Accion vs Fecha').legend(loc='best')","metadata":{"id":"B2jOljgL85tB","colab":{"height":421,"base_uri":"https://localhost:8080/"},"cell_id":"d9e8537270a44e40af215707107890ec","outputId":"181392a0-8c7a-459e-ce8f-e98c5b5343a8","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":1391,"user_tz":300,"timestamp":1639586332797},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"<matplotlib.legend.Legend at 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\n","text/plain":"<Figure size 1080x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":null},{"cell_type":"markdown","source":"**En cual accion invertirian y porque?**","metadata":{"id":"a8JTObOJ9kuZ","cell_id":"3ca71a7269f948609d43d0bb531d0fda","deepnote_cell_type":"markdown"}},{"cell_type":"markdown","source":"Al parecer hay una gran diferencia en el comportamiento de las acciones **GOOG (Google) y AMZN (Amazon)** respecto a las demás, por otro lado podemos analizar el porcentaje de cambio cada día para entender como estan sucediendo los cambios diarios de manera porcentual","metadata":{"id":"X86UYFei9sTP","cell_id":"5b0756dc44dc41de99969336b7494ab4","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"df_cambios=df.pct_change()*100\ndf_cambios","metadata":{"id":"zX7K4FYX991l","colab":{"height":446,"base_uri":"https://localhost:8080/"},"cell_id":"5013d4bd4e0246ee9e93d6c9f1be011b","outputId":"51968480-a7d5-4034-cbce-7eb64474b771","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":633,"user_tz":300,"timestamp":1639586530900},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","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>MCD</th>\n      <th>SBUX</th>\n      <th>GOOG</th>\n      <th>AMZN</th>\n      <th>MSFT</th>\n      <th>JPM</th>\n      <th>BAC</th>\n      <th>C</th>\n      <th>MAR</th>\n      <th>HLT</th>\n      <th>RCL</th>\n      <th>V</th>\n      <th>MA</th>\n      <th>PYPL</th>\n    </tr>\n    <tr>\n      <th>formatted_date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2021-01-01</th>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2021-02-01</th>\n      <td>-0.817934</td>\n      <td>11.589706</td>\n      <td>10.955800</td>\n      <td>-3.532843</td>\n      <td>0.181070</td>\n      <td>15.201585</td>\n      <td>17.065765</td>\n      <td>14.574185</td>\n      <td>27.306345</td>\n      <td>21.984418</td>\n      <td>43.492303</td>\n      <td>9.904269</td>\n      <td>12.016978</td>\n      <td>10.900093</td>\n    </tr>\n    <tr>\n      <th>2021-03-01</th>\n      <td>9.400932</td>\n      <td>1.578448</td>\n      <td>1.559749</td>\n      <td>0.037186</td>\n      <td>1.692490</td>\n      <td>3.438197</td>\n      <td>11.466436</td>\n      <td>10.428053</td>\n      <td>0.027010</td>\n      <td>-2.231567</td>\n      <td>-8.212712</td>\n      <td>-0.155997</td>\n      <td>0.621736</td>\n      <td>-6.546088</td>\n    </tr>\n    <tr>\n      <th>2021-04-01</th>\n      <td>5.327030</td>\n      <td>4.777157</td>\n      <td>16.508039</td>\n      <td>12.066263</td>\n      <td>6.960171</td>\n      <td>1.037906</td>\n      <td>5.276066</td>\n      <td>-2.075599</td>\n      <td>0.276824</td>\n      <td>6.434005</td>\n      <td>1.565233</td>\n      <td>10.310309</td>\n      <td>7.305159</td>\n      <td>8.009394</td>\n    </tr>\n    <tr>\n      <th>2021-05-01</th>\n      <td>-0.927648</td>\n      <td>-0.532794</td>\n      <td>0.059746</td>\n      <td>-7.047022</td>\n      <td>-0.991354</td>\n      <td>7.409994</td>\n      <td>4.589188</td>\n      <td>11.254087</td>\n      <td>-3.326153</td>\n      <td>-2.665113</td>\n      <td>7.268545</td>\n      <td>-2.680249</td>\n      <td>-5.510123</td>\n      <td>-0.865462</td>\n    </tr>\n    <tr>\n      <th>2021-06-01</th>\n      <td>-0.694454</td>\n      <td>-1.427060</td>\n      <td>3.929407</td>\n      <td>6.735499</td>\n      <td>8.749413</td>\n      <td>-5.297128</td>\n      <td>-2.736500</td>\n      <td>-10.113065</td>\n      <td>-4.917118</td>\n      <td>-3.711977</td>\n      <td>-8.566525</td>\n      <td>3.017877</td>\n      <td>1.250767</td>\n      <td>12.099078</td>\n    </tr>\n    <tr>\n      <th>2021-07-01</th>\n      <td>5.073810</td>\n      <td>8.603875</td>\n      <td>7.904013</td>\n      <td>-3.272226</td>\n      <td>5.171653</td>\n      <td>-2.417375</td>\n      <td>-6.569289</td>\n      <td>-4.424032</td>\n      <td>6.929381</td>\n      <td>8.978606</td>\n      <td>-9.861628</td>\n      <td>5.375928</td>\n      <td>5.710923</td>\n      <td>-5.472078</td>\n    </tr>\n    <tr>\n      <th>2021-08-01</th>\n      <td>-2.163073</td>\n      <td>-3.244665</td>\n      <td>7.573531</td>\n      <td>4.303413</td>\n      <td>5.956268</td>\n      <td>5.990058</td>\n      <td>8.837327</td>\n      <td>7.138355</td>\n      <td>-7.425672</td>\n      <td>-5.013310</td>\n      <td>7.623261</td>\n      <td>-7.017328</td>\n      <td>-10.183470</td>\n      <td>4.765363</td>\n    </tr>\n    <tr>\n      <th>2021-09-01</th>\n      <td>2.093757</td>\n      <td>-5.746744</td>\n      <td>-8.384662</td>\n      <td>-5.351807</td>\n      <td>-6.433113</td>\n      <td>2.338235</td>\n      <td>1.676649</td>\n      <td>-2.405785</td>\n      <td>9.582653</td>\n      <td>5.806503</td>\n      <td>7.518425</td>\n      <td>-2.639177</td>\n      <td>0.418791</td>\n      <td>-9.855890</td>\n    </tr>\n    <tr>\n      <th>2021-10-01</th>\n      <td>1.841486</td>\n      <td>-3.843711</td>\n      <td>11.259473</td>\n      <td>2.660238</td>\n      <td>17.629108</td>\n      <td>3.787643</td>\n      <td>13.132735</td>\n      <td>-1.453400</td>\n      <td>8.055918</td>\n      <td>8.962226</td>\n      <td>-5.081503</td>\n      <td>-4.929288</td>\n      <td>-3.497477</td>\n      <td>-10.614502</td>\n    </tr>\n    <tr>\n      <th>2021-11-01</th>\n      <td>-0.386887</td>\n      <td>3.365701</td>\n      <td>-3.924242</td>\n      <td>3.992378</td>\n      <td>-0.310593</td>\n      <td>-5.946732</td>\n      <td>-6.927583</td>\n      <td>-7.227223</td>\n      <td>-7.786531</td>\n      <td>-6.168802</td>\n      <td>-17.304276</td>\n      <td>-8.499787</td>\n      <td>-6.021122</td>\n      <td>-20.508189</td>\n    </tr>\n  </tbody>\n</table>\n</div>","text/plain":"                     MCD       SBUX       GOOG  ...          V         MA       PYPL\nformatted_date                                  ...                                 \n2021-01-01           NaN        NaN        NaN  ...        NaN        NaN        NaN\n2021-02-01     -0.817934  11.589706  10.955800  ...   9.904269  12.016978  10.900093\n2021-03-01      9.400932   1.578448   1.559749  ...  -0.155997   0.621736  -6.546088\n2021-04-01      5.327030   4.777157  16.508039  ...  10.310309   7.305159   8.009394\n2021-05-01     -0.927648  -0.532794   0.059746  ...  -2.680249  -5.510123  -0.865462\n2021-06-01     -0.694454  -1.427060   3.929407  ...   3.017877   1.250767  12.099078\n2021-07-01      5.073810   8.603875   7.904013  ...   5.375928   5.710923  -5.472078\n2021-08-01     -2.163073  -3.244665   7.573531  ...  -7.017328 -10.183470   4.765363\n2021-09-01      2.093757  -5.746744  -8.384662  ...  -2.639177   0.418791  -9.855890\n2021-10-01      1.841486  -3.843711  11.259473  ...  -4.929288  -3.497477 -10.614502\n2021-11-01     -0.386887   3.365701  -3.924242  ...  -8.499787  -6.021122 -20.508189\n\n[11 rows x 14 columns]"},"metadata":{},"execution_count":19}],"execution_count":null},{"cell_type":"code","source":"df_cambios.plot(kind='line',figsize=(15,6),xlabel='Fecha', ylabel='Porcentaje de cambio', title='Precio Accion vs Fecha').legend(loc='best')","metadata":{"id":"49gV25xt-FCH","colab":{"height":421,"base_uri":"https://localhost:8080/"},"cell_id":"0aee52589e5c4118888000a1782026dd","outputId":"04f6e258-0d06-44f7-e7ad-a7585d9c5231","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":1544,"user_tz":300,"timestamp":1639586536494},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"<matplotlib.legend.Legend at 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\n","text/plain":"<Figure size 1080x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":null},{"cell_type":"markdown","source":"**Siguen pensando lo mismo respecto a la pregunta anterior** \nTeniendo en cuenta esta información cual sería a la acción en la cual invertirian?","metadata":{"id":"R4OWLpP6-TeD","cell_id":"d276c2f07fb44eff822980b2e6556162","deepnote_cell_type":"markdown"}},{"cell_type":"markdown","source":"La respuesta en que accion invertir no solo pasa por el valor de la acción en si sino mas bien por factores asociados a la volatididad que pueda tener la acción.\n\nCuando se prefiere aversion al riesgo (evitar incertidumbre en inversiones) se requieren acciones que tengan poca volatilidad. 🧱 🈶 ☁ 🪗 ❎\n\nPor el contrario cuando se asumen riesgos las inversiones podrían enfocarse en aquellas acciones con mayor volatilidad ⏰ ⚗ ⛹ ♟","metadata":{"id":"TBJE0p1YEM6j","cell_id":"1bb1a95784c14776856dda980d4f43ab","deepnote_cell_type":"markdown"}},{"cell_type":"markdown","source":"# Grafico interactivo\n\nPara generar un grafico dinamico podemos usar plotly con el fin de poder establecer el valor en cada momento del tiempo para cada accion\n\nAdemas debemos hacer uso de la funcion ```melt``` que explicaremos posteriormente mas adelante pero consiste en formato long del dataframe para facilitar el grafico en plotly","metadata":{"id":"PL8pbOGgFgZn","cell_id":"d3517166e3c84bff96e57b6f8b628527","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"df_n=df.copy()\ndf_n['Fecha']=df.index\ndf_n= df_n.reset_index(drop=True)\ndf_n","metadata":{"id":"-P9ktYyxGg5W","colab":{"height":415,"base_uri":"https://localhost:8080/"},"cell_id":"49e9ebd741ff41a395c4521b1711d2a5","outputId":"3159e4a3-399b-43cf-8e59-f3fa07040922","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":435,"user_tz":300,"timestamp":1639588735182},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","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>MCD</th>\n      <th>SBUX</th>\n      <th>GOOG</th>\n      <th>AMZN</th>\n      <th>MSFT</th>\n      <th>JPM</th>\n      <th>BAC</th>\n      <th>C</th>\n      <th>MAR</th>\n      <th>HLT</th>\n      <th>RCL</th>\n      <th>V</th>\n      <th>MA</th>\n      <th>PYPL</th>\n      <th>Fecha</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>203.187836</td>\n      <td>95.235695</td>\n      <td>1835.739990</td>\n      <td>3206.199951</td>\n      <td>230.031799</td>\n      <td>125.517960</td>\n      <td>29.089981</td>\n      <td>56.271671</td>\n      <td>116.309998</td>\n      <td>101.389999</td>\n      <td>65.000000</td>\n      <td>192.070175</td>\n      <td>314.746094</td>\n      <td>234.309998</td>\n      <td>2021-01-01</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>201.525894</td>\n      <td>106.273232</td>\n      <td>2036.859985</td>\n      <td>3092.929932</td>\n      <td>230.448318</td>\n      <td>144.598679</td>\n      <td>34.054409</td>\n      <td>64.472809</td>\n      <td>148.070007</td>\n      <td>123.680000</td>\n      <td>93.269997</td>\n      <td>211.093323</td>\n      <td>352.569061</td>\n      <td>259.850006</td>\n      <td>2021-02-01</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>220.471207</td>\n      <td>107.950699</td>\n      <td>2068.629883</td>\n      <td>3094.080078</td>\n      <td>234.348633</td>\n      <td>149.570267</td>\n      <td>37.959236</td>\n      <td>71.196068</td>\n      <td>148.110001</td>\n      <td>120.919998</td>\n      <td>85.610001</td>\n      <td>210.764023</td>\n      <td>354.761108</td>\n      <td>242.839996</td>\n      <td>2021-03-01</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>232.215775</td>\n      <td>113.107674</td>\n      <td>2410.120117</td>\n      <td>3467.419922</td>\n      <td>250.659698</td>\n      <td>151.122665</td>\n      <td>39.961990</td>\n      <td>69.718323</td>\n      <td>148.520004</td>\n      <td>128.699997</td>\n      <td>86.949997</td>\n      <td>232.494446</td>\n      <td>380.676971</td>\n      <td>262.290009</td>\n      <td>2021-04-01</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>230.061630</td>\n      <td>112.505043</td>\n      <td>2411.560059</td>\n      <td>3223.070068</td>\n      <td>248.174774</td>\n      <td>162.320847</td>\n      <td>41.795921</td>\n      <td>77.564484</td>\n      <td>143.580002</td>\n      <td>125.269997</td>\n      <td>93.269997</td>\n      <td>226.263016</td>\n      <td>359.701202</td>\n      <td>260.019989</td>\n      <td>2021-05-01</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>228.463959</td>\n      <td>110.899529</td>\n      <td>2506.320068</td>\n      <td>3440.159912</td>\n      <td>269.888611</td>\n      <td>153.722504</td>\n      <td>40.652176</td>\n      <td>69.720337</td>\n      <td>136.520004</td>\n      <td>120.620003</td>\n      <td>85.279999</td>\n      <td>233.091354</td>\n      <td>364.200226</td>\n      <td>291.480011</td>\n      <td>2021-06-01</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>240.055786</td>\n      <td>120.441185</td>\n      <td>2704.419922</td>\n      <td>3327.590088</td>\n      <td>283.846313</td>\n      <td>150.006454</td>\n      <td>37.981617</td>\n      <td>66.635887</td>\n      <td>145.979996</td>\n      <td>131.449997</td>\n      <td>76.870003</td>\n      <td>245.622177</td>\n      <td>384.999420</td>\n      <td>275.529999</td>\n      <td>2021-07-01</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>234.863205</td>\n      <td>116.533272</td>\n      <td>2909.239990</td>\n      <td>3470.790039</td>\n      <td>300.752960</td>\n      <td>158.991928</td>\n      <td>41.338177</td>\n      <td>71.392593</td>\n      <td>135.139999</td>\n      <td>124.860001</td>\n      <td>82.730003</td>\n      <td>228.386063</td>\n      <td>345.793121</td>\n      <td>288.660004</td>\n      <td>2021-08-01</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>239.780670</td>\n      <td>109.836403</td>\n      <td>2665.310059</td>\n      <td>3285.040039</td>\n      <td>281.405182</td>\n      <td>162.709534</td>\n      <td>42.031273</td>\n      <td>69.675041</td>\n      <td>148.089996</td>\n      <td>132.110001</td>\n      <td>88.949997</td>\n      <td>222.358551</td>\n      <td>347.241272</td>\n      <td>260.209991</td>\n      <td>2021-09-01</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>244.196198</td>\n      <td>105.614609</td>\n      <td>2965.409912</td>\n      <td>3372.429932</td>\n      <td>331.014404</td>\n      <td>168.872391</td>\n      <td>47.551128</td>\n      <td>68.662384</td>\n      <td>160.020004</td>\n      <td>143.949997</td>\n      <td>84.430000</td>\n      <td>211.397858</td>\n      <td>335.096588</td>\n      <td>232.589996</td>\n      <td>2021-10-01</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>243.251434</td>\n      <td>109.169281</td>\n      <td>2849.040039</td>\n      <td>3507.070068</td>\n      <td>329.986298</td>\n      <td>158.830002</td>\n      <td>44.256985</td>\n      <td>63.700001</td>\n      <td>147.559998</td>\n      <td>135.070007</td>\n      <td>69.820000</td>\n      <td>193.429489</td>\n      <td>314.920013</td>\n      <td>184.889999</td>\n      <td>2021-11-01</td>\n    </tr>\n  </tbody>\n</table>\n</div>","text/plain":"           MCD        SBUX         GOOG  ...          MA        PYPL       Fecha\n0   203.187836   95.235695  1835.739990  ...  314.746094  234.309998  2021-01-01\n1   201.525894  106.273232  2036.859985  ...  352.569061  259.850006  2021-02-01\n2   220.471207  107.950699  2068.629883  ...  354.761108  242.839996  2021-03-01\n3   232.215775  113.107674  2410.120117  ...  380.676971  262.290009  2021-04-01\n4   230.061630  112.505043  2411.560059  ...  359.701202  260.019989  2021-05-01\n5   228.463959  110.899529  2506.320068  ...  364.200226  291.480011  2021-06-01\n6   240.055786  120.441185  2704.419922  ...  384.999420  275.529999  2021-07-01\n7   234.863205  116.533272  2909.239990  ...  345.793121  288.660004  2021-08-01\n8   239.780670  109.836403  2665.310059  ...  347.241272  260.209991  2021-09-01\n9   244.196198  105.614609  2965.409912  ...  335.096588  232.589996  2021-10-01\n10  243.251434  109.169281  2849.040039  ...  314.920013  184.889999  2021-11-01\n\n[11 rows x 15 columns]"},"metadata":{},"execution_count":40}],"execution_count":null},{"cell_type":"code","source":"df_long=pd.melt(df_n , value_vars=df.columns,id_vars='Fecha')\ndf_long","metadata":{"id":"9fuHznuVFR47","colab":{"height":424,"base_uri":"https://localhost:8080/"},"cell_id":"f64dae2136a24efc80ad36dcbcf9e282","outputId":"f00650ec-9f65-4eb7-c07e-054c2759d442","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":21,"user_tz":300,"timestamp":1639588780646},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","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>Fecha</th>\n      <th>variable</th>\n      <th>value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2021-01-01</td>\n      <td>MCD</td>\n      <td>203.187836</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2021-02-01</td>\n      <td>MCD</td>\n      <td>201.525894</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2021-03-01</td>\n      <td>MCD</td>\n      <td>220.471207</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2021-04-01</td>\n      <td>MCD</td>\n      <td>232.215775</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2021-05-01</td>\n      <td>MCD</td>\n      <td>230.061630</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>149</th>\n      <td>2021-07-01</td>\n      <td>PYPL</td>\n      <td>275.529999</td>\n    </tr>\n    <tr>\n      <th>150</th>\n      <td>2021-08-01</td>\n      <td>PYPL</td>\n      <td>288.660004</td>\n    </tr>\n    <tr>\n      <th>151</th>\n      <td>2021-09-01</td>\n      <td>PYPL</td>\n      <td>260.209991</td>\n    </tr>\n    <tr>\n      <th>152</th>\n      <td>2021-10-01</td>\n      <td>PYPL</td>\n      <td>232.589996</td>\n    </tr>\n    <tr>\n      <th>153</th>\n      <td>2021-11-01</td>\n      <td>PYPL</td>\n      <td>184.889999</td>\n    </tr>\n  </tbody>\n</table>\n<p>154 rows × 3 columns</p>\n</div>","text/plain":"          Fecha variable       value\n0    2021-01-01      MCD  203.187836\n1    2021-02-01      MCD  201.525894\n2    2021-03-01      MCD  220.471207\n3    2021-04-01      MCD  232.215775\n4    2021-05-01      MCD  230.061630\n..          ...      ...         ...\n149  2021-07-01     PYPL  275.529999\n150  2021-08-01     PYPL  288.660004\n151  2021-09-01     PYPL  260.209991\n152  2021-10-01     PYPL  232.589996\n153  2021-11-01     PYPL  184.889999\n\n[154 rows x 3 columns]"},"metadata":{},"execution_count":42}],"execution_count":null},{"cell_type":"code","source":"import plotly.express as px\n\n\nfig=px.line(data_frame=df_long,x='Fecha',y='value',line_group='variable',color='variable',title='Comportamiento de precio de acciones',\\\n             labels={\n                     \"Fecha\": \"Fecha_dias\",\n                     \"value\": \"Precio (USD)\"\n                 })\nfig.update_layout(paper_bgcolor=\"#FFFFFF\",plot_bgcolor='#FFFFFF',)\n\nfig.show()","metadata":{"id":"tcyOiOxrEMJn","colab":{"height":542,"base_uri":"https://localhost:8080/"},"cell_id":"9001e2b503a94db990a31357d688f2b1","outputId":"9ca2b737-4fc9-45b1-a8fc-c144d3467fd8","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":1522,"user_tz":300,"timestamp":1639590568746},"deepnote_cell_type":"code"},"outputs":[{"output_type":"display_data","data":{"text/html":"<html>\n<head><meta charset=\"utf-8\" /></head>\n<body>\n    <div>\n            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>\n                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n        <script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script>    \n            <div id=\"88258f4b-0b4a-4f2c-ad43-340f572fc0d1\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n            <script type=\"text/javascript\">\n                \n                    window.PLOTLYENV=window.PLOTLYENV || {};\n                    \n                if 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df_n.drop(columns=['GOOG','AMZN'])\ndf_n","metadata":{"id":"m8RqaEIcN06D","colab":{"height":395,"base_uri":"https://localhost:8080/"},"cell_id":"172e8d9d90924563b9f3a973a5b5bd73","outputId":"d79f30c4-945c-4f4b-dc5d-a1f540289a79","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":15,"user_tz":300,"timestamp":1639590638449},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","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>MCD</th>\n      <th>SBUX</th>\n      <th>MSFT</th>\n      <th>JPM</th>\n      <th>BAC</th>\n      <th>C</th>\n      <th>MAR</th>\n      <th>HLT</th>\n      <th>RCL</th>\n      <th>V</th>\n      <th>MA</th>\n      <th>PYPL</th>\n      <th>Fecha</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>203.187836</td>\n      <td>95.235695</td>\n      <td>230.031799</td>\n      <td>125.517960</td>\n      <td>29.089981</td>\n      <td>56.271671</td>\n      <td>116.309998</td>\n      <td>101.389999</td>\n      <td>65.000000</td>\n      <td>192.070175</td>\n      <td>314.746094</td>\n      <td>234.309998</td>\n      <td>2021-01-01</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>201.525894</td>\n      <td>106.273232</td>\n      <td>230.448318</td>\n      <td>144.598679</td>\n      <td>34.054409</td>\n      <td>64.472809</td>\n      <td>148.070007</td>\n      <td>123.680000</td>\n      <td>93.269997</td>\n      <td>211.093323</td>\n      <td>352.569061</td>\n      <td>259.850006</td>\n      <td>2021-02-01</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>220.471207</td>\n      <td>107.950699</td>\n      <td>234.348633</td>\n      <td>149.570267</td>\n      <td>37.959236</td>\n      <td>71.196068</td>\n      <td>148.110001</td>\n      <td>120.919998</td>\n      <td>85.610001</td>\n      <td>210.764023</td>\n      <td>354.761108</td>\n      <td>242.839996</td>\n      <td>2021-03-01</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>232.215775</td>\n      <td>113.107674</td>\n      <td>250.659698</td>\n      <td>151.122665</td>\n      <td>39.961990</td>\n      <td>69.718323</td>\n      <td>148.520004</td>\n      <td>128.699997</td>\n      <td>86.949997</td>\n      <td>232.494446</td>\n      <td>380.676971</td>\n      <td>262.290009</td>\n      <td>2021-04-01</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>230.061630</td>\n      <td>112.505043</td>\n      <td>248.174774</td>\n      <td>162.320847</td>\n      <td>41.795921</td>\n      <td>77.564484</td>\n      <td>143.580002</td>\n      <td>125.269997</td>\n      <td>93.269997</td>\n      <td>226.263016</td>\n      <td>359.701202</td>\n      <td>260.019989</td>\n      <td>2021-05-01</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>228.463959</td>\n      <td>110.899529</td>\n      <td>269.888611</td>\n      <td>153.722504</td>\n      <td>40.652176</td>\n      <td>69.720337</td>\n      <td>136.520004</td>\n      <td>120.620003</td>\n      <td>85.279999</td>\n      <td>233.091354</td>\n      <td>364.200226</td>\n      <td>291.480011</td>\n      <td>2021-06-01</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>240.055786</td>\n      <td>120.441185</td>\n      <td>283.846313</td>\n      <td>150.006454</td>\n      <td>37.981617</td>\n      <td>66.635887</td>\n      <td>145.979996</td>\n      <td>131.449997</td>\n      <td>76.870003</td>\n      <td>245.622177</td>\n      <td>384.999420</td>\n      <td>275.529999</td>\n      <td>2021-07-01</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>234.863205</td>\n      <td>116.533272</td>\n      <td>300.752960</td>\n      <td>158.991928</td>\n      <td>41.338177</td>\n      <td>71.392593</td>\n      <td>135.139999</td>\n      <td>124.860001</td>\n      <td>82.730003</td>\n      <td>228.386063</td>\n      <td>345.793121</td>\n      <td>288.660004</td>\n      <td>2021-08-01</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>239.780670</td>\n      <td>109.836403</td>\n      <td>281.405182</td>\n      <td>162.709534</td>\n      <td>42.031273</td>\n      <td>69.675041</td>\n      <td>148.089996</td>\n      <td>132.110001</td>\n      <td>88.949997</td>\n      <td>222.358551</td>\n      <td>347.241272</td>\n      <td>260.209991</td>\n      <td>2021-09-01</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>244.196198</td>\n      <td>105.614609</td>\n      <td>331.014404</td>\n      <td>168.872391</td>\n      <td>47.551128</td>\n      <td>68.662384</td>\n      <td>160.020004</td>\n      <td>143.949997</td>\n      <td>84.430000</td>\n      <td>211.397858</td>\n      <td>335.096588</td>\n      <td>232.589996</td>\n      <td>2021-10-01</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>243.251434</td>\n      <td>109.169281</td>\n      <td>329.986298</td>\n      <td>158.830002</td>\n      <td>44.256985</td>\n      <td>63.700001</td>\n      <td>147.559998</td>\n      <td>135.070007</td>\n      <td>69.820000</td>\n      <td>193.429489</td>\n      <td>314.920013</td>\n      <td>184.889999</td>\n      <td>2021-11-01</td>\n    </tr>\n  </tbody>\n</table>\n</div>","text/plain":"           MCD        SBUX        MSFT  ...          MA        PYPL       Fecha\n0   203.187836   95.235695  230.031799  ...  314.746094  234.309998  2021-01-01\n1   201.525894  106.273232  230.448318  ...  352.569061  259.850006  2021-02-01\n2   220.471207  107.950699  234.348633  ...  354.761108  242.839996  2021-03-01\n3   232.215775  113.107674  250.659698  ...  380.676971  262.290009  2021-04-01\n4   230.061630  112.505043  248.174774  ...  359.701202  260.019989  2021-05-01\n5   228.463959  110.899529  269.888611  ...  364.200226  291.480011  2021-06-01\n6   240.055786  120.441185  283.846313  ...  384.999420  275.529999  2021-07-01\n7   234.863205  116.533272  300.752960  ...  345.793121  288.660004  2021-08-01\n8   239.780670  109.836403  281.405182  ...  347.241272  260.209991  2021-09-01\n9   244.196198  105.614609  331.014404  ...  335.096588  232.589996  2021-10-01\n10  243.251434  109.169281  329.986298  ...  314.920013  184.889999  2021-11-01\n\n[11 rows x 13 columns]"},"metadata":{},"execution_count":55}],"execution_count":null},{"cell_type":"code","source":"columnas=list(df.columns)\nunwanted_num = {'AMZN', 'GOOG'}\n \ncol_final = [x for x in columnas if x not in unwanted_num]\ncol_final","metadata":{"id":"mekxZmA3OGmW","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"0203ef209bb74044bec40052f2d73d5d","outputId":"bd92ff0d-b212-4b2e-d5af-e867f3599014","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":396,"user_tz":300,"timestamp":1639590927120},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"['MCD',\n 'SBUX',\n 'MSFT',\n 'JPM',\n 'BAC',\n 'C',\n 'MAR',\n 'HLT',\n 'RCL',\n 'V',\n 'MA',\n 'PYPL']"},"metadata":{},"execution_count":65}],"execution_count":null},{"cell_type":"code","source":"df_long=pd.melt(df_n , value_vars=col_final,id_vars='Fecha')\ndf_long","metadata":{"id":"LxpmXbJeN9A0","colab":{"height":424,"base_uri":"https://localhost:8080/"},"cell_id":"abaff021eaca4a85a897f1aad884523b","outputId":"34ad75f0-dc12-46ff-d2cd-bd55c49a878a","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":648,"user_tz":300,"timestamp":1639590940492},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","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>Fecha</th>\n      <th>variable</th>\n      <th>value</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2021-01-01</td>\n      <td>MCD</td>\n      <td>203.187836</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2021-02-01</td>\n      <td>MCD</td>\n      <td>201.525894</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2021-03-01</td>\n      <td>MCD</td>\n      <td>220.471207</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2021-04-01</td>\n      <td>MCD</td>\n      <td>232.215775</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2021-05-01</td>\n      <td>MCD</td>\n      <td>230.061630</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>2021-07-01</td>\n      <td>PYPL</td>\n      <td>275.529999</td>\n    </tr>\n    <tr>\n      <th>128</th>\n      <td>2021-08-01</td>\n      <td>PYPL</td>\n      <td>288.660004</td>\n    </tr>\n    <tr>\n      <th>129</th>\n      <td>2021-09-01</td>\n      <td>PYPL</td>\n      <td>260.209991</td>\n    </tr>\n    <tr>\n      <th>130</th>\n      <td>2021-10-01</td>\n      <td>PYPL</td>\n      <td>232.589996</td>\n    </tr>\n    <tr>\n      <th>131</th>\n      <td>2021-11-01</td>\n      <td>PYPL</td>\n      <td>184.889999</td>\n    </tr>\n  </tbody>\n</table>\n<p>132 rows × 3 columns</p>\n</div>","text/plain":"          Fecha variable       value\n0    2021-01-01      MCD  203.187836\n1    2021-02-01      MCD  201.525894\n2    2021-03-01      MCD  220.471207\n3    2021-04-01      MCD  232.215775\n4    2021-05-01      MCD  230.061630\n..          ...      ...         ...\n127  2021-07-01     PYPL  275.529999\n128  2021-08-01     PYPL  288.660004\n129  2021-09-01     PYPL  260.209991\n130  2021-10-01     PYPL  232.589996\n131  2021-11-01     PYPL  184.889999\n\n[132 rows x 3 columns]"},"metadata":{},"execution_count":66}],"execution_count":null},{"cell_type":"code","source":"import plotly.express as px\n\n\nfig=px.line(data_frame=df_long,x='Fecha',y='value',line_group='variable',color='variable',title='Comportamiento de precio de acciones',\\\n             labels={\n                     \"Fecha\": \"Fecha_dias\",\n                     \"value\": \"Precio (USD)\"\n                 })\nfig.update_layout(paper_bgcolor=\"#FFFFFF\",plot_bgcolor='#FFFFFF',)\n\nfig.show()","metadata":{"id":"c7uAuDP-PFfT","colab":{"height":542,"base_uri":"https://localhost:8080/"},"cell_id":"0571b4fefd2e47faafd9107d30dc57fa","outputId":"12effcce-53fd-4eb8-f9a8-5b1996d38c52","executionInfo":{"user":{"userId":"04741209928239412574","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gi4e7mWJaOA2l-1KUn-omyigRGSrm83lG6XLzS5=s64","displayName":"david francisco bustos usta"},"status":"ok","elapsed":834,"user_tz":300,"timestamp":1639590953789},"deepnote_cell_type":"code"},"outputs":[{"output_type":"display_data","data":{"text/html":"<html>\n<head><meta charset=\"utf-8\" /></head>\n<body>\n    <div>\n        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