{"cells":[{"cell_type":"markdown","source":"# Metodo local","metadata":{"id":"tJHDURCRvYvX","cell_id":"34a098baf3e149349e1c9a8aba66c24e","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"from google.colab import files\nuploaded = files.upload()\nimport io\ndf2 = pd.read_csv(io.BytesIO(uploaded['dnrpa-robos-recuperos-autos-202201.csv']),sep=\",\")\ndf2.head(10)","metadata":{"id":"KmMBgWXzrXLl","colab":{"height":1000,"base_uri":"https://localhost:8080/","resources":{"http://localhost:8080/nbextensions/google.colab/files.js":{"ok":true,"data":"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","status":200,"headers":[["content-type","application/javascript"]],"status_text":"OK"}}},"cell_id":"20addb0c4a714a4aa739c77c7fe676f3","outputId":"bd9713e9-f27f-4570-f1ac-c2ba0a16826f","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":33980,"user_tz":300,"timestamp":1645907654569},"deepnote_cell_type":"code"},"outputs":[{"output_type":"display_data","data":{"text/html":"\n     <input type=\"file\" id=\"files-9d7ea258-4e17-485d-aadc-443bf0f34342\" name=\"files[]\" multiple disabled\n        style=\"border:none\" />\n     <output id=\"result-9d7ea258-4e17-485d-aadc-443bf0f34342\">\n      Upload widget is only available when the cell has been executed in the\n      current browser session. Please rerun this cell to enable.\n      </output>\n      <script src=\"/nbextensions/google.colab/files.js\"></script> ","text/plain":"<IPython.core.display.HTML object>"},"metadata":{}},{"output_type":"stream","name":"stdout","text":"Saving dnrpa-robos-recuperos-autos-202201.csv to dnrpa-robos-recuperos-autos-202201.csv\n"},{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-e424e208-11d9-44e2-9735-fae67cf2db40\">\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>tramite_tipo</th>\n      <th>tramite_fecha</th>\n      <th>fecha_inscripcion_inicial</th>\n      <th>registro_seccional_codigo</th>\n      <th>registro_seccional_descripcion</th>\n      <th>registro_seccional_provincia</th>\n      <th>automotor_origen</th>\n      <th>automotor_anio_modelo</th>\n      <th>automotor_tipo_codigo</th>\n      <th>automotor_tipo_descripcion</th>\n      <th>automotor_marca_codigo</th>\n      <th>automotor_marca_descripcion</th>\n      <th>automotor_modelo_codigo</th>\n      <th>automotor_modelo_descripcion</th>\n      <th>automotor_uso_codigo</th>\n      <th>automotor_uso_descripcion</th>\n      <th>titular_tipo_persona</th>\n      <th>titular_domicilio_localidad</th>\n      <th>titular_domicilio_provincia</th>\n      <th>titular_genero</th>\n      <th>titular_anio_nacimiento</th>\n      <th>titular_pais_nacimiento</th>\n      <th>titular_porcentaje_titularidad</th>\n      <th>titular_domicilio_provincia_id</th>\n      <th>titular_pais_nacimiento_id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-18</td>\n      <td>1994-06-03</td>\n      <td>1173</td>\n      <td>BERAZATEGUI Nº 2</td>\n      <td>Buenos Aires</td>\n      <td>Nacional</td>\n      <td>1994.0</td>\n      <td>NaN</td>\n      <td>FURGON VIDRID.C/ASIE</td>\n      <td>37</td>\n      <td>RENAULT</td>\n      <td>34</td>\n      <td>RENAULT TRAFIC</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>BERAZATEGUI</td>\n      <td>BUENOS AIRES</td>\n      <td>Masculino</td>\n      <td>1972</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>6</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-31</td>\n      <td>2000-10-27</td>\n      <td>1120</td>\n      <td>LA MATANZA Nº 03</td>\n      <td>Buenos Aires</td>\n      <td>Nacional</td>\n      <td>2000.0</td>\n      <td>NaN</td>\n      <td>SEDAN</td>\n      <td>08</td>\n      <td>CHEVROLET</td>\n      <td>84</td>\n      <td>CORSA 3P CITI 1.0 N</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>LOMAS DEL MIRADOR</td>\n      <td>BUENOS AIRES</td>\n      <td>Femenino</td>\n      <td>1991</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>6</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-11</td>\n      <td>1994-04-28</td>\n      <td>2086</td>\n      <td>CAPITAL FEDERAL Nº 086</td>\n      <td>Ciudad Autónoma de Bs.As.</td>\n      <td>Nacional</td>\n      <td>1994.0</td>\n      <td>NaN</td>\n      <td>FUR.VIDRIADO C/ASIEN</td>\n      <td>37</td>\n      <td>RENAULT</td>\n      <td>55</td>\n      <td>RENAULT TRAFIC</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>Masculino</td>\n      <td>1971</td>\n      <td>PERU</td>\n      <td>100</td>\n      <td>2</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-10</td>\n      <td>1992-03-27</td>\n      <td>1119</td>\n      <td>MORON Nº 03</td>\n      <td>Buenos Aires</td>\n      <td>Importado</td>\n      <td>1991.0</td>\n      <td>NaN</td>\n      <td>RURAL 4 PTAS.</td>\n      <td>NaN</td>\n      <td>NISSAN</td>\n      <td>NaN</td>\n      <td>PATHFINDER SE-V6</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>HAEDO</td>\n      <td>BUENOS AIRES</td>\n      <td>No identificado</td>\n      <td>1982</td>\n      <td>ARGENTINA</td>\n      <td>50</td>\n      <td>6</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-24</td>\n      <td>2000-11-01</td>\n      <td>1118</td>\n      <td>QUILMES Nº 2</td>\n      <td>Buenos Aires</td>\n      <td>Nacional</td>\n      <td>2000.0</td>\n      <td>NaN</td>\n      <td>SEDAN 4 PUERTAS</td>\n      <td>08</td>\n      <td>CHEVROLET</td>\n      <td>57</td>\n      <td>CORSA 4 PUERTAS WIND 1.6 MPFI</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>QUILMES OESTE</td>\n      <td>BUENOS AIRES</td>\n      <td>Masculino</td>\n      <td>1947</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>6</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-03</td>\n      <td>1995-11-10</td>\n      <td>4058</td>\n      <td>EMBALSE</td>\n      <td>Córdoba</td>\n      <td>Nacional</td>\n      <td>1995.0</td>\n      <td>NaN</td>\n      <td>CHASIS C/CABINA P/CA</td>\n      <td>29</td>\n      <td>MERCEDES BENZ</td>\n      <td>55</td>\n      <td>BM386 VERSION 1633</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>VILLA RUMIPAL</td>\n      <td>CORDOBA</td>\n      <td>Masculino</td>\n      <td>1980</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>14</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-12</td>\n      <td>2000-04-05</td>\n      <td>1113</td>\n      <td>SAN VICENTE</td>\n      <td>Buenos Aires</td>\n      <td>Nacional</td>\n      <td>2000.0</td>\n      <td>NaN</td>\n      <td>3 PTAS</td>\n      <td>08</td>\n      <td>CHEVROLET</td>\n      <td>77</td>\n      <td>CORSA 3 DOOR WIND 1.6 MPFI</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>GUERNICA</td>\n      <td>BUENOS AIRES</td>\n      <td>Femenino</td>\n      <td>1978</td>\n      <td>PARAGUAY</td>\n      <td>100</td>\n      <td>6</td>\n      <td>PRY</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-18</td>\n      <td>1997-11-18</td>\n      <td>6004</td>\n      <td>MACHAGAI</td>\n      <td>Chaco</td>\n      <td>Protocolo 21</td>\n      <td>1997.0</td>\n      <td>NaN</td>\n      <td>FURGON VIDRIADO C/ ASIENTOS</td>\n      <td>112</td>\n      <td>RENAULT</td>\n      <td>122</td>\n      <td>EXPRESS</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>COLONIAS UNIDAS</td>\n      <td>CHACO</td>\n      <td>Masculino</td>\n      <td>1976</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>22</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-06</td>\n      <td>2014-06-09</td>\n      <td>2045</td>\n      <td>CAPITAL FEDERAL Nº 045</td>\n      <td>Ciudad Autónoma de Bs.As.</td>\n      <td>Protocolo 21</td>\n      <td>2014.0</td>\n      <td>NaN</td>\n      <td>TRANSPORTE DE CARGA</td>\n      <td>092</td>\n      <td>MERCEDES BENZ</td>\n      <td>272</td>\n      <td>710</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Jurídica</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>No aplica</td>\n      <td>1994</td>\n      <td>No aplica</td>\n      <td>100</td>\n      <td>2</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-28</td>\n      <td>1998-06-12</td>\n      <td>2078</td>\n      <td>CAPITAL FEDERAL Nº 078</td>\n      <td>Ciudad Autónoma de Bs.As.</td>\n      <td>Nacional</td>\n      <td>1998.0</td>\n      <td>NaN</td>\n      <td>BERLINA 5 PTAS.</td>\n      <td>37</td>\n      <td>RENAULT</td>\n      <td>CD</td>\n      <td>CLIO DIESEL 5P DA AA</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>No identificado</td>\n      <td>1978</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>2</td>\n      <td>ARG</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" 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ARG\n4  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        ARG\n5  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        ARG\n6  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        PRY\n7  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        ARG\n8  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        NaN\n9  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        ARG\n\n[10 rows x 25 columns]"},"metadata":{},"execution_count":12}],"execution_count":12},{"cell_type":"markdown","source":"# Metodo drive","metadata":{"id":"7R2PKvs7vbma","cell_id":"0e6802328f01479c9ea9fd075ca7ceef","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"from google.colab import drive\nimport os\nimport pandas as pd\ndrive.mount('/content/gdrive')\n%cd '/content/gdrive/MyDrive/'\ndf2 = pd.read_csv('dnrpa-robos-recuperos-autos-202201.csv',sep=\",\")\ndf2.head(10)","metadata":{"id":"jTmCl9oMveBc","colab":{"height":1000,"base_uri":"https://localhost:8080/"},"cell_id":"fe31779f894042bea45d3f99b2dd2a93","outputId":"9cfb1e72-5de7-41f5-9c1d-7b24e601a481","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":7885,"user_tz":300,"timestamp":1645913129886},"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/content/gdrive/MyDrive\n"},{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-0eee8723-633c-4790-bc00-827c3a905ea5\">\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>tramite_tipo</th>\n      <th>tramite_fecha</th>\n      <th>fecha_inscripcion_inicial</th>\n      <th>registro_seccional_codigo</th>\n      <th>registro_seccional_descripcion</th>\n      <th>registro_seccional_provincia</th>\n      <th>automotor_origen</th>\n      <th>automotor_anio_modelo</th>\n      <th>automotor_tipo_codigo</th>\n      <th>automotor_tipo_descripcion</th>\n      <th>automotor_marca_codigo</th>\n      <th>automotor_marca_descripcion</th>\n      <th>automotor_modelo_codigo</th>\n      <th>automotor_modelo_descripcion</th>\n      <th>automotor_uso_codigo</th>\n      <th>automotor_uso_descripcion</th>\n      <th>titular_tipo_persona</th>\n      <th>titular_domicilio_localidad</th>\n      <th>titular_domicilio_provincia</th>\n      <th>titular_genero</th>\n      <th>titular_anio_nacimiento</th>\n      <th>titular_pais_nacimiento</th>\n      <th>titular_porcentaje_titularidad</th>\n      <th>titular_domicilio_provincia_id</th>\n      <th>titular_pais_nacimiento_id</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-18</td>\n      <td>1994-06-03</td>\n      <td>1173</td>\n      <td>BERAZATEGUI Nº 2</td>\n      <td>Buenos Aires</td>\n      <td>Nacional</td>\n      <td>1994.0</td>\n      <td>NaN</td>\n      <td>FURGON VIDRID.C/ASIE</td>\n      <td>37</td>\n      <td>RENAULT</td>\n      <td>34</td>\n      <td>RENAULT TRAFIC</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>BERAZATEGUI</td>\n      <td>BUENOS AIRES</td>\n      <td>Masculino</td>\n      <td>1972</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>6</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-31</td>\n      <td>2000-10-27</td>\n      <td>1120</td>\n      <td>LA MATANZA Nº 03</td>\n      <td>Buenos Aires</td>\n      <td>Nacional</td>\n      <td>2000.0</td>\n      <td>NaN</td>\n      <td>SEDAN</td>\n      <td>08</td>\n      <td>CHEVROLET</td>\n      <td>84</td>\n      <td>CORSA 3P CITI 1.0 N</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>LOMAS DEL MIRADOR</td>\n      <td>BUENOS AIRES</td>\n      <td>Femenino</td>\n      <td>1991</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>6</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-11</td>\n      <td>1994-04-28</td>\n      <td>2086</td>\n      <td>CAPITAL FEDERAL Nº 086</td>\n      <td>Ciudad Autónoma de Bs.As.</td>\n      <td>Nacional</td>\n      <td>1994.0</td>\n      <td>NaN</td>\n      <td>FUR.VIDRIADO C/ASIEN</td>\n      <td>37</td>\n      <td>RENAULT</td>\n      <td>55</td>\n      <td>RENAULT TRAFIC</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>Masculino</td>\n      <td>1971</td>\n      <td>PERU</td>\n      <td>100</td>\n      <td>2</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-10</td>\n      <td>1992-03-27</td>\n      <td>1119</td>\n      <td>MORON Nº 03</td>\n      <td>Buenos Aires</td>\n      <td>Importado</td>\n      <td>1991.0</td>\n      <td>NaN</td>\n      <td>RURAL 4 PTAS.</td>\n      <td>NaN</td>\n      <td>NISSAN</td>\n      <td>NaN</td>\n      <td>PATHFINDER SE-V6</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>HAEDO</td>\n      <td>BUENOS AIRES</td>\n      <td>No identificado</td>\n      <td>1982</td>\n      <td>ARGENTINA</td>\n      <td>50</td>\n      <td>6</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-24</td>\n      <td>2000-11-01</td>\n      <td>1118</td>\n      <td>QUILMES Nº 2</td>\n      <td>Buenos Aires</td>\n      <td>Nacional</td>\n      <td>2000.0</td>\n      <td>NaN</td>\n      <td>SEDAN 4 PUERTAS</td>\n      <td>08</td>\n      <td>CHEVROLET</td>\n      <td>57</td>\n      <td>CORSA 4 PUERTAS WIND 1.6 MPFI</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>QUILMES OESTE</td>\n      <td>BUENOS AIRES</td>\n      <td>Masculino</td>\n      <td>1947</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>6</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-03</td>\n      <td>1995-11-10</td>\n      <td>4058</td>\n      <td>EMBALSE</td>\n      <td>Córdoba</td>\n      <td>Nacional</td>\n      <td>1995.0</td>\n      <td>NaN</td>\n      <td>CHASIS C/CABINA P/CA</td>\n      <td>29</td>\n      <td>MERCEDES BENZ</td>\n      <td>55</td>\n      <td>BM386 VERSION 1633</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>VILLA RUMIPAL</td>\n      <td>CORDOBA</td>\n      <td>Masculino</td>\n      <td>1980</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>14</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-12</td>\n      <td>2000-04-05</td>\n      <td>1113</td>\n      <td>SAN VICENTE</td>\n      <td>Buenos Aires</td>\n      <td>Nacional</td>\n      <td>2000.0</td>\n      <td>NaN</td>\n      <td>3 PTAS</td>\n      <td>08</td>\n      <td>CHEVROLET</td>\n      <td>77</td>\n      <td>CORSA 3 DOOR WIND 1.6 MPFI</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>GUERNICA</td>\n      <td>BUENOS AIRES</td>\n      <td>Femenino</td>\n      <td>1978</td>\n      <td>PARAGUAY</td>\n      <td>100</td>\n      <td>6</td>\n      <td>PRY</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-18</td>\n      <td>1997-11-18</td>\n      <td>6004</td>\n      <td>MACHAGAI</td>\n      <td>Chaco</td>\n      <td>Protocolo 21</td>\n      <td>1997.0</td>\n      <td>NaN</td>\n      <td>FURGON VIDRIADO C/ ASIENTOS</td>\n      <td>112</td>\n      <td>RENAULT</td>\n      <td>122</td>\n      <td>EXPRESS</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>COLONIAS UNIDAS</td>\n      <td>CHACO</td>\n      <td>Masculino</td>\n      <td>1976</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>22</td>\n      <td>ARG</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-06</td>\n      <td>2014-06-09</td>\n      <td>2045</td>\n      <td>CAPITAL FEDERAL Nº 045</td>\n      <td>Ciudad Autónoma de Bs.As.</td>\n      <td>Protocolo 21</td>\n      <td>2014.0</td>\n      <td>NaN</td>\n      <td>TRANSPORTE DE CARGA</td>\n      <td>092</td>\n      <td>MERCEDES BENZ</td>\n      <td>272</td>\n      <td>710</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Jurídica</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>No aplica</td>\n      <td>1994</td>\n      <td>No aplica</td>\n      <td>100</td>\n      <td>2</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA</td>\n      <td>2022-01-28</td>\n      <td>1998-06-12</td>\n      <td>2078</td>\n      <td>CAPITAL FEDERAL Nº 078</td>\n      <td>Ciudad Autónoma de Bs.As.</td>\n      <td>Nacional</td>\n      <td>1998.0</td>\n      <td>NaN</td>\n      <td>BERLINA 5 PTAS.</td>\n      <td>37</td>\n      <td>RENAULT</td>\n      <td>CD</td>\n      <td>CLIO DIESEL 5P DA AA</td>\n      <td>1</td>\n      <td>Privado</td>\n      <td>Física</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>C.AUTONOMA DE BS.AS</td>\n      <td>No identificado</td>\n      <td>1978</td>\n      <td>ARGENTINA</td>\n      <td>100</td>\n      <td>2</td>\n      <td>ARG</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" 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ARG\n4  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        ARG\n5  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        ARG\n6  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        PRY\n7  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        ARG\n8  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        NaN\n9  DENUNCIA DE ROBO O HURTO / RETENCION INDEBIDA  ...                        ARG\n\n[10 rows x 25 columns]"},"metadata":{},"execution_count":51}],"execution_count":51},{"cell_type":"code","source":"df2.shape","metadata":{"id":"zd2rNuPqwnK4","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"26790e503c2f4e4abaef192b1216cb1c","outputId":"458de506-278d-43b6-df08-8beb282c7761","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":553,"user_tz":300,"timestamp":1645907968146},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"(2676, 25)"},"metadata":{},"execution_count":15}],"execution_count":15},{"cell_type":"code","source":"df2.info()","metadata":{"id":"kgVVsfpow2En","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"3acb1f3257f94f56b761af2e6715a834","outputId":"a0651e50-8271-4ac5-d7a9-19939aa1d963","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":20,"user_tz":300,"timestamp":1645908032043},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 2676 entries, 0 to 2675\nData columns (total 25 columns):\n #   Column                          Non-Null Count  Dtype  \n---  ------                          --------------  -----  \n 0   tramite_tipo                    2676 non-null   object \n 1   tramite_fecha                   2676 non-null   object \n 2   fecha_inscripcion_inicial       2676 non-null   object \n 3   registro_seccional_codigo       2676 non-null   int64  \n 4   registro_seccional_descripcion  2676 non-null   object \n 5   registro_seccional_provincia    2676 non-null   object \n 6   automotor_origen                2676 non-null   object \n 7   automotor_anio_modelo           2671 non-null   float64\n 8   automotor_tipo_codigo           2601 non-null   object \n 9   automotor_tipo_descripcion      2676 non-null   object \n 10  automotor_marca_codigo          2644 non-null   object \n 11  automotor_marca_descripcion     2676 non-null   object \n 12  automotor_modelo_codigo         2640 non-null   object \n 13  automotor_modelo_descripcion    2676 non-null   object \n 14  automotor_uso_codigo            2676 non-null   int64  \n 15  automotor_uso_descripcion       2676 non-null   object \n 16  titular_tipo_persona            2676 non-null   object \n 17  titular_domicilio_localidad     2674 non-null   object \n 18  titular_domicilio_provincia     2676 non-null   object \n 19  titular_genero                  2676 non-null   object \n 20  titular_anio_nacimiento         2676 non-null   int64  \n 21  titular_pais_nacimiento         2676 non-null   object \n 22  titular_porcentaje_titularidad  2676 non-null   int64  \n 23  titular_domicilio_provincia_id  2676 non-null   int64  \n 24  titular_pais_nacimiento_id      2550 non-null   object \ndtypes: float64(1), int64(5), object(19)\nmemory usage: 522.8+ KB\n"}],"execution_count":16},{"cell_type":"code","source":"df2['tramite_fecha']=pd.to_datetime(df2['tramite_fecha']) # Formato datetime python \nmonthly_accidents =df2.groupby(df2['tramite_fecha'].dt.to_period('D')).size()\nmonthly_accidents.plot.line(figsize=(12,6))","metadata":{"id":"jZghBqt4xGKW","colab":{"height":441,"base_uri":"https://localhost:8080/"},"cell_id":"bea71e0b6aa641f0a9ccad69a6be5415","outputId":"2da0e406-698c-447b-dfa3-e3b288ae687c","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1119,"user_tz":300,"timestamp":1645908137936},"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 864x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":19},{"cell_type":"markdown","source":"# Marca mas robada","metadata":{"id":"bckb0eO4xV08","cell_id":"61200851d4824e938d90a2340711e685","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"df2['automotor_marca_descripcion'].value_counts().plot(kind='bar', figsize=(12,6), ylabel='Frecuencia', title='Marcas mas robadas')","metadata":{"id":"zBEmFhGbxZa5","colab":{"height":538,"base_uri":"https://localhost:8080/"},"cell_id":"d1d78d1d3b2441b680b4bddf88a07a80","outputId":"64388553-21d3-45fc-af9e-8933f810a009","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1699,"user_tz":300,"timestamp":1645908273758},"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 864x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":25},{"cell_type":"code","source":"df2['automotor_modelo_descripcion'].value_counts().iloc[0:50].plot(kind='bar', figsize=(12,6), ylabel='Frecuencia', title='Modelos mas robadas')","metadata":{"id":"oSqF4N3Hx_Ji","colab":{"height":571,"base_uri":"https://localhost:8080/"},"cell_id":"350788f463104834a61d65d05f41cbad","outputId":"b13fcbf0-3bf7-4aeb-de74-cbed7e7cb915","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1708,"user_tz":300,"timestamp":1645908357375},"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 864x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":30},{"cell_type":"code","source":"df2['titular_genero'].value_counts().plot(kind='bar', figsize=(12,6), ylabel='Frecuencia', title='Robos por genero')","metadata":{"id":"IhNkfHPoymQ2","colab":{"height":473,"base_uri":"https://localhost:8080/"},"cell_id":"182582e5d10846c6913bf33927ee10da","outputId":"236f8881-7b45-4d49-a982-1fbb24e0da52","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":705,"user_tz":300,"timestamp":1645908497090},"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 864x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":31},{"cell_type":"code","source":"df2['titular_pais_nacimiento'].value_counts().plot(kind='bar', figsize=(12,6), ylabel='Frecuencia', title='Procedencia del titular')","metadata":{"id":"S0cCSp5dysGK","colab":{"height":486,"base_uri":"https://localhost:8080/"},"cell_id":"32d01f7b480f46d1a202c9ed62f997c8","outputId":"ab79c5ab-ac5b-4866-fc2b-0a7534cef0d6","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":648,"user_tz":300,"timestamp":1645908547854},"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 864x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":33},{"cell_type":"code","source":"df2['titular_domicilio_provincia'].value_counts().plot(kind='bar', figsize=(12,6), ylabel='Frecuencia', title='Procedencia del titular')","metadata":{"id":"rX70BiWWy8mh","colab":{"height":516,"base_uri":"https://localhost:8080/"},"cell_id":"07ddca5bd58349b0b17a817b0cd69e45","outputId":"0c52ff53-4eb5-4046-b686-2864f11bafc6","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1201,"user_tz":300,"timestamp":1645908587497},"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 864x432 with 1 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":34},{"cell_type":"markdown","source":"# Actividad colaborativa","metadata":{"id":"bpkllWwv74CV","cell_id":"479d18f6319548ceb148955f3fe9e9a3","deepnote_cell_type":"markdown"}},{"cell_type":"markdown","source":"## SQL","metadata":{"id":"oZSyrTCPBmj6","cell_id":"531e4a19a0984e54ad2b02d16f56b599","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"import sqlite3 as sql\nimport pandas as pd\nimport matplotlib.pyplot as plt\nconn= sql.connect('nba_salary.sqlite')\nconn","metadata":{"id":"5mEsuLkeBokk","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"2cc7c2a7d5a348e4a50cdaa67373cadb","outputId":"7f78d3b7-d6b4-4798-8f36-b2ff460ff93e","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":825,"user_tz":300,"timestamp":1645912546689},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"<sqlite3.Connection at 0x7f499ce8de30>"},"metadata":{},"execution_count":40}],"execution_count":40},{"cell_type":"code","source":"# Visualizar las tablas\ncursor = conn.cursor()\ncursor.execute(\"SELECT name FROM sqlite_master WHERE type='table';\")\nprint(cursor. fetchall())","metadata":{"id":"2TuLp09JCGNd","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"d120febbd7e14b4997a37a28d3c843a4","outputId":"9a2a329a-805f-400f-b0d5-acd64d0a5735","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":400,"user_tz":300,"timestamp":1645912584270},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"[('NBA_season1718_salary',), ('Seasons_Stats',)]\n"}],"execution_count":42},{"cell_type":"code","source":"df_salary = pd.read_sql_query(\"SELECT * from NBA_season1718_salary\", conn)\ndf_salary.head()","metadata":{"id":"nvHHuPB9CRvo","colab":{"height":206,"base_uri":"https://localhost:8080/"},"cell_id":"9c2f4f1eed204cdc96f0d89b05fdf0ba","outputId":"c7311912-041d-4209-8a62-79e2875cd7d0","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":419,"user_tz":300,"timestamp":1645912749323},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-3dd2f691-f395-456b-9a98-fc3fb7e2aa48\">\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>X1</th>\n      <th>Player</th>\n      <th>Tm</th>\n      <th>season17_18</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1.0</td>\n      <td>Stephen Curry</td>\n      <td>GSW</td>\n      <td>34682550.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2.0</td>\n      <td>LeBron James</td>\n      <td>CLE</td>\n      <td>33285709.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3.0</td>\n      <td>Paul Millsap</td>\n      <td>DEN</td>\n      <td>31269231.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4.0</td>\n      <td>Gordon Hayward</td>\n      <td>BOS</td>\n      <td>29727900.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5.0</td>\n      <td>Blake Griffin</td>\n      <td>DET</td>\n      <td>29512900.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3dd2f691-f395-456b-9a98-fc3fb7e2aa48')\"\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-3dd2f691-f395-456b-9a98-fc3fb7e2aa48 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-3dd2f691-f395-456b-9a98-fc3fb7e2aa48');\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":"    X1          Player   Tm  season17_18\n0  1.0   Stephen Curry  GSW   34682550.0\n1  2.0    LeBron James  CLE   33285709.0\n2  3.0    Paul Millsap  DEN   31269231.0\n3  4.0  Gordon Hayward  BOS   29727900.0\n4  5.0   Blake Griffin  DET   29512900.0"},"metadata":{},"execution_count":44}],"execution_count":44},{"cell_type":"code","source":"df_stats = pd.read_sql_query(\"SELECT * from Seasons_Stats\", conn)\ndf_stats.head()","metadata":{"id":"0ByxLeaLC3zw","colab":{"height":323,"base_uri":"https://localhost:8080/"},"cell_id":"70d04b7005c84a50bb9a99dfea2f10ca","outputId":"6ce27a71-cf32-485f-a4e6-aba0d4d86932","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1713,"user_tz":300,"timestamp":1645912780079},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-eb02f94a-178d-4aa4-89df-50ea914376af\">\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>X1</th>\n      <th>Year</th>\n      <th>Player</th>\n      <th>Pos</th>\n      <th>Age</th>\n      <th>Tm</th>\n      <th>G</th>\n      <th>GS</th>\n      <th>MP</th>\n      <th>PER</th>\n      <th>TS%</th>\n      <th>3PAr</th>\n      <th>FTr</th>\n      <th>ORB%</th>\n      <th>DRB%</th>\n      <th>TRB%</th>\n      <th>AST%</th>\n      <th>STL%</th>\n      <th>BLK%</th>\n      <th>TOV%</th>\n      <th>USG%</th>\n      <th>blanl</th>\n      <th>OWS</th>\n      <th>DWS</th>\n      <th>WS</th>\n      <th>WS/48</th>\n      <th>blank2</th>\n      <th>OBPM</th>\n      <th>DBPM</th>\n      <th>BPM</th>\n      <th>VORP</th>\n      <th>FG</th>\n      <th>FGA</th>\n      <th>FG%</th>\n      <th>3P</th>\n      <th>3PA</th>\n      <th>3P%</th>\n      <th>2P</th>\n      <th>2PA</th>\n      <th>2P%</th>\n      <th>eFG%</th>\n      <th>FT</th>\n      <th>FTA</th>\n      <th>FT%</th>\n      <th>ORB</th>\n      <th>DRB</th>\n      <th>TRB</th>\n      <th>AST</th>\n      <th>STL</th>\n      <th>BLK</th>\n      <th>TOV</th>\n      <th>PF</th>\n      <th>PTS</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.0</td>\n      <td>1950.0</td>\n      <td>Curly Armstrong</td>\n      <td>G-F</td>\n      <td>31.0</td>\n      <td>FTW</td>\n      <td>63.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.368</td>\n      <td>NaN</td>\n      <td>0.467</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>None</td>\n      <td>-0.1</td>\n      <td>3.6</td>\n      <td>3.5</td>\n      <td>NaN</td>\n      <td>None</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>144.0</td>\n      <td>516.0</td>\n      <td>0.279</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>144.0</td>\n      <td>516.0</td>\n      <td>0.279</td>\n      <td>0.279</td>\n      <td>170.0</td>\n      <td>241.0</td>\n      <td>0.705</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>176.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>217.0</td>\n      <td>458.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.0</td>\n      <td>1950.0</td>\n      <td>Cliff Barker</td>\n      <td>SG</td>\n      <td>29.0</td>\n      <td>INO</td>\n      <td>49.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.435</td>\n      <td>NaN</td>\n      <td>0.387</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>None</td>\n      <td>1.6</td>\n      <td>0.6</td>\n      <td>2.2</td>\n      <td>NaN</td>\n      <td>None</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>102.0</td>\n      <td>274.0</td>\n      <td>0.372</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>102.0</td>\n      <td>274.0</td>\n      <td>0.372</td>\n      <td>0.372</td>\n      <td>75.0</td>\n      <td>106.0</td>\n      <td>0.708</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>109.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>99.0</td>\n      <td>279.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2.0</td>\n      <td>1950.0</td>\n      <td>Leo Barnhorst</td>\n      <td>SF</td>\n      <td>25.0</td>\n      <td>CHS</td>\n      <td>67.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.394</td>\n      <td>NaN</td>\n      <td>0.259</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>None</td>\n      <td>0.9</td>\n      <td>2.8</td>\n      <td>3.6</td>\n      <td>NaN</td>\n      <td>None</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>174.0</td>\n      <td>499.0</td>\n      <td>0.349</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>174.0</td>\n      <td>499.0</td>\n      <td>0.349</td>\n      <td>0.349</td>\n      <td>90.0</td>\n      <td>129.0</td>\n      <td>0.698</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>140.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>192.0</td>\n      <td>438.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3.0</td>\n      <td>1950.0</td>\n      <td>Ed Bartels</td>\n      <td>F</td>\n      <td>24.0</td>\n      <td>TOT</td>\n      <td>15.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.312</td>\n      <td>NaN</td>\n      <td>0.395</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>None</td>\n      <td>-0.5</td>\n      <td>-0.1</td>\n      <td>-0.6</td>\n      <td>NaN</td>\n      <td>None</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>22.0</td>\n      <td>86.0</td>\n      <td>0.256</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>22.0</td>\n      <td>86.0</td>\n      <td>0.256</td>\n      <td>0.256</td>\n      <td>19.0</td>\n      <td>34.0</td>\n      <td>0.559</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>20.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>29.0</td>\n      <td>63.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4.0</td>\n      <td>1950.0</td>\n      <td>Ed Bartels</td>\n      <td>F</td>\n      <td>24.0</td>\n      <td>DNN</td>\n      <td>13.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>0.308</td>\n      <td>NaN</td>\n      <td>0.378</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>None</td>\n      <td>-0.5</td>\n      <td>-0.1</td>\n      <td>-0.6</td>\n      <td>NaN</td>\n      <td>None</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>21.0</td>\n      <td>82.0</td>\n      <td>0.256</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>21.0</td>\n      <td>82.0</td>\n      <td>0.256</td>\n      <td>0.256</td>\n      <td>17.0</td>\n      <td>31.0</td>\n      <td>0.548</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>20.0</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>27.0</td>\n      <td>59.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eb02f94a-178d-4aa4-89df-50ea914376af')\"\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    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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":"    X1    Year           Player  Pos   Age  ... STL  BLK  TOV     PF    PTS\n0  0.0  1950.0  Curly Armstrong  G-F  31.0  ... NaN  NaN  NaN  217.0  458.0\n1  1.0  1950.0     Cliff Barker   SG  29.0  ... NaN  NaN  NaN   99.0  279.0\n2  2.0  1950.0    Leo Barnhorst   SF  25.0  ... NaN  NaN  NaN  192.0  438.0\n3  3.0  1950.0       Ed Bartels    F  24.0  ... NaN  NaN  NaN   29.0   63.0\n4  4.0  1950.0       Ed Bartels    F  24.0  ... NaN  NaN  NaN   27.0   59.0\n\n[5 rows x 53 columns]"},"metadata":{},"execution_count":46}],"execution_count":46},{"cell_type":"markdown","source":"# JSON","metadata":{"id":"rBuuXrQtDDpH","cell_id":"b189e4c0d1a944ce865b9d83852c9c6b","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"# De una URL\nURL = 'http://raw.githubusercontent.com/BindiChen/machine-learning/master/data-analysis/027-pandas-convert-json/data/simple.json'\ndf = pd.read_json(URL)\ndf.head(10)","metadata":{"id":"uYOes1C-DlQC","colab":{"height":144,"base_uri":"https://localhost:8080/"},"cell_id":"6f4f2897b6c04d218315d0742f1e27b8","outputId":"a80cdf5e-0a9d-49e3-c249-8a2612322262","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":470,"user_tz":300,"timestamp":1645912957238},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-48024ffc-c0f1-4969-80c2-9dc44f94f692\">\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>id</th>\n      <th>name</th>\n      <th>math</th>\n      <th>physics</th>\n      <th>chemistry</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>A001</td>\n      <td>Tom</td>\n      <td>60</td>\n      <td>66</td>\n      <td>61</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>A002</td>\n      <td>James</td>\n      <td>89</td>\n      <td>76</td>\n      <td>51</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>A003</td>\n      <td>Jenny</td>\n      <td>79</td>\n      <td>90</td>\n      <td>78</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-48024ffc-c0f1-4969-80c2-9dc44f94f692')\"\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-48024ffc-c0f1-4969-80c2-9dc44f94f692 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-48024ffc-c0f1-4969-80c2-9dc44f94f692');\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":"     id   name  math  physics  chemistry\n0  A001    Tom    60       66         61\n1  A002  James    89       76         51\n2  A003  Jenny    79       90         78"},"metadata":{},"execution_count":48}],"execution_count":48},{"cell_type":"code","source":"# Miremos este caso especial\ndf = pd.read_json('nested_json.json')\ndf # tenemos un JSON nested","metadata":{"id":"BFSgC47eDlW7","colab":{"height":144,"base_uri":"https://localhost:8080/"},"cell_id":"9cc50e29d0a84b7ca5fa69a018ec9f9a","outputId":"a647dcc8-5692-4d01-dcf4-dd355b78c069","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1131,"user_tz":300,"timestamp":1645913147792},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-62863d8c-cfa8-4cd4-bb2d-f5707976388d\">\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>school_name</th>\n      <th>class</th>\n      <th>students</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>ABC primary school</td>\n      <td>Year 1</td>\n      <td>{'id': 'A001', 'name': 'Tom', 'math': 60, 'phy...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>ABC primary school</td>\n      <td>Year 1</td>\n      <td>{'id': 'A002', 'name': 'James', 'math': 89, 'p...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>ABC primary school</td>\n      <td>Year 1</td>\n      <td>{'id': 'A003', 'name': 'Jenny', 'math': 79, 'p...</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-62863d8c-cfa8-4cd4-bb2d-f5707976388d')\"\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-62863d8c-cfa8-4cd4-bb2d-f5707976388d 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-62863d8c-cfa8-4cd4-bb2d-f5707976388d');\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":"          school_name  ...                                           students\n0  ABC primary school  ...  {'id': 'A001', 'name': 'Tom', 'math': 60, 'phy...\n1  ABC primary school  ...  {'id': 'A002', 'name': 'James', 'math': 89, 'p...\n2  ABC primary school  ...  {'id': 'A003', 'name': 'Jenny', 'math': 79, 'p...\n\n[3 rows x 3 columns]"},"metadata":{},"execution_count":53}],"execution_count":53},{"cell_type":"code","source":"import json\n# Normalizar los datos\nwith open('nested_json.json','r') as f:\n    data = json.loads(f.read())# Flatten data\ndf_nested_list = pd.json_normalize(data, record_path =['students'])\ndf_nested_list","metadata":{"id":"1TC6ziPkEc9f","colab":{"height":144,"base_uri":"https://localhost:8080/"},"cell_id":"4d963556206e4b9f8e8f7d198902d733","outputId":"9f856e6e-966e-4c35-c24c-edeaf326d883","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":13,"user_tz":300,"timestamp":1645913196850},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-4447040e-2186-4834-89c8-95865ba20cdf\">\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>id</th>\n      <th>name</th>\n      <th>math</th>\n      <th>physics</th>\n      <th>chemistry</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>A001</td>\n      <td>Tom</td>\n      <td>60</td>\n      <td>66</td>\n      <td>61</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>A002</td>\n      <td>James</td>\n      <td>89</td>\n      <td>76</td>\n      <td>51</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>A003</td>\n      <td>Jenny</td>\n      <td>79</td>\n      <td>90</td>\n      <td>78</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4447040e-2186-4834-89c8-95865ba20cdf')\"\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-4447040e-2186-4834-89c8-95865ba20cdf 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-4447040e-2186-4834-89c8-95865ba20cdf');\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":"     id   name  math  physics  chemistry\n0  A001    Tom    60       66         61\n1  A002  James    89       76         51\n2  A003  Jenny    79       90         78"},"metadata":{},"execution_count":55}],"execution_count":55},{"cell_type":"code","source":"# Combinando\ndf_nested_list = pd.json_normalize(\n    data, \n    record_path =['students'], \n    meta=['school_name', 'class']\n)\ndf_nested_list","metadata":{"id":"n3FwsDmyEsNf","colab":{"height":144,"base_uri":"https://localhost:8080/"},"cell_id":"dd12eaa89a6f4f96a6605cb32c659405","outputId":"ec53726d-7062-4512-9f01-0e8bc4300680","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":18,"user_tz":300,"timestamp":1645913252970},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-3c5e8922-2a72-4ee9-b6bc-23e1cf9bfa17\">\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>id</th>\n      <th>name</th>\n      <th>math</th>\n      <th>physics</th>\n      <th>chemistry</th>\n      <th>school_name</th>\n      <th>class</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>A001</td>\n      <td>Tom</td>\n      <td>60</td>\n      <td>66</td>\n      <td>61</td>\n      <td>ABC primary school</td>\n      <td>Year 1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>A002</td>\n      <td>James</td>\n      <td>89</td>\n      <td>76</td>\n      <td>51</td>\n      <td>ABC primary school</td>\n      <td>Year 1</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>A003</td>\n      <td>Jenny</td>\n      <td>79</td>\n      <td>90</td>\n      <td>78</td>\n      <td>ABC primary school</td>\n      <td>Year 1</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3c5e8922-2a72-4ee9-b6bc-23e1cf9bfa17')\"\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-3c5e8922-2a72-4ee9-b6bc-23e1cf9bfa17 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-3c5e8922-2a72-4ee9-b6bc-23e1cf9bfa17');\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":"     id   name  math  physics  chemistry         school_name   class\n0  A001    Tom    60       66         61  ABC primary school  Year 1\n1  A002  James    89       76         51  ABC primary school  Year 1\n2  A003  Jenny    79       90         78  ABC primary school  Year 1"},"metadata":{},"execution_count":58}],"execution_count":58},{"cell_type":"markdown","source":"# APIs","metadata":{"id":"d49XBcY_E64H","cell_id":"f0ffc9df6766484dae9fbef3e4f6b1dc","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"!pip install pytrends","metadata":{"id":"zRc85jnHFGTa","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"f5ebb11bb5844ff98f6459fe24a9eb77","outputId":"97254429-d75e-4630-b003-0180f72f32aa","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":6096,"user_tz":300,"timestamp":1645913348743},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"Collecting pytrends\n  Downloading pytrends-4.8.0.tar.gz (19 kB)\nRequirement already satisfied: requests>=2.0 in /usr/local/lib/python3.7/dist-packages (from pytrends) (2.23.0)\nRequirement already satisfied: pandas>=0.25 in /usr/local/lib/python3.7/dist-packages (from pytrends) (1.3.5)\nRequirement already satisfied: lxml in /usr/local/lib/python3.7/dist-packages (from pytrends) (4.2.6)\nRequirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25->pytrends) (2.8.2)\nRequirement already satisfied: numpy>=1.17.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25->pytrends) (1.21.5)\nRequirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.25->pytrends) (2018.9)\nRequirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.25->pytrends) (1.15.0)\nRequirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests>=2.0->pytrends) (3.0.4)\nRequirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.0->pytrends) (2.10)\nRequirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.0->pytrends) (2021.10.8)\nRequirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.0->pytrends) (1.24.3)\nBuilding wheels for collected packages: pytrends\n  Building wheel for pytrends (setup.py) ... \u001b[?25l\u001b[?25hdone\n  Created wheel for pytrends: filename=pytrends-4.8.0-py3-none-any.whl size=16126 sha256=7ecca0a570dbdae27d5ffb7491b366d6d83b83b36c59edde3ddb4e625078c3d0\n  Stored in directory: /root/.cache/pip/wheels/07/6f/5c/8174f98dec1bfbc7d5da4092854afcbcff4b26c3d9b66b5183\nSuccessfully built pytrends\nInstalling collected packages: pytrends\nSuccessfully installed pytrends-4.8.0\n"}],"execution_count":59},{"cell_type":"code","source":"import pandas as pd\nfrom pytrends.request import TrendReq\npytrends = TrendReq()\nkeywords = [\"barcelona\", \"Copperfield\", \"Madrid\"]\npytrends.build_payload(keywords, cat=0, geo='', gprop='') # Datos de los ultimos 5 años\nstop_queries = pytrends.interest_over_time()[keywords]\nstop_queries.head()","metadata":{"id":"Qi6FZWZGE8Jg","colab":{"height":238,"base_uri":"https://localhost:8080/"},"cell_id":"7d5338a36ae5428887b38a183e2528b4","outputId":"0acff988-f534-4c1f-b360-8775feb933f9","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1630,"user_tz":300,"timestamp":1645913428085},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-e1a30998-e52c-476e-9c7a-0f2827d89655\">\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>barcelona</th>\n      <th>Copperfield</th>\n      <th>Madrid</th>\n    </tr>\n    <tr>\n      <th>date</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2017-02-26</th>\n      <td>33</td>\n      <td>0</td>\n      <td>49</td>\n    </tr>\n    <tr>\n      <th>2017-03-05</th>\n      <td>59</td>\n      <td>0</td>\n      <td>44</td>\n    </tr>\n    <tr>\n      <th>2017-03-12</th>\n      <td>31</td>\n      <td>0</td>\n      <td>43</td>\n    </tr>\n    <tr>\n      <th>2017-03-19</th>\n      <td>29</td>\n      <td>0</td>\n      <td>31</td>\n    </tr>\n    <tr>\n      <th>2017-03-26</th>\n      <td>22</td>\n      <td>0</td>\n      <td>29</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e1a30998-e52c-476e-9c7a-0f2827d89655')\"\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-e1a30998-e52c-476e-9c7a-0f2827d89655 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-e1a30998-e52c-476e-9c7a-0f2827d89655');\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":"            barcelona  Copperfield  Madrid\ndate                                      \n2017-02-26         33            0      49\n2017-03-05         59            0      44\n2017-03-12         31            0      43\n2017-03-19         29            0      31\n2017-03-26         22            0      29"},"metadata":{},"execution_count":64}],"execution_count":64},{"cell_type":"code","source":"stop_queries.shape","metadata":{"id":"2ibKeKC4Fs9u","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"c67cf69e39694518a19208502a610bd4","outputId":"dfd5b388-ef1b-4ea4-e76a-ec0da5c940d0","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":480,"user_tz":300,"timestamp":1645913501051},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"(261, 3)"},"metadata":{},"execution_count":66}],"execution_count":66},{"cell_type":"code","source":"pytrends.build_payload?","metadata":{"id":"aIOR6PTwFmCI","cell_id":"f04295d43ea54a858aaf0c282f5771a8","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":8,"user_tz":300,"timestamp":1645913475779},"deepnote_cell_type":"code"},"outputs":[],"execution_count":65},{"cell_type":"markdown","source":"# yfinance","metadata":{"id":"nX5mXK0pG4OV","cell_id":"b5415d5391954e70ae41050a52cbd1c8","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"!pip install yfinance","metadata":{"id":"ZLZp7bA1GLMI","colab":{"height":664,"base_uri":"https://localhost:8080/"},"cell_id":"08951356fe4141728ea1fb2f20276abf","outputId":"6203055e-2ca1-4260-975e-4409a4e28b4a","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":5586,"user_tz":300,"timestamp":1645913629893},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"Collecting yfinance\n  Downloading yfinance-0.1.70-py2.py3-none-any.whl (26 kB)\nRequirement already satisfied: multitasking>=0.0.7 in /usr/local/lib/python3.7/dist-packages (from yfinance) (0.0.10)\nCollecting lxml>=4.5.1\n  Downloading lxml-4.8.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (6.4 MB)\n\u001b[K     |████████████████████████████████| 6.4 MB 6.5 MB/s \n\u001b[?25hRequirement already satisfied: pandas>=0.24.0 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.3.5)\nRequirement already satisfied: numpy>=1.15 in /usr/local/lib/python3.7/dist-packages (from yfinance) (1.21.5)\nCollecting requests>=2.26\n  Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)\n\u001b[K     |████████████████████████████████| 63 kB 1.7 MB/s \n\u001b[?25hRequirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->yfinance) (2.8.2)\nRequirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas>=0.24.0->yfinance) (2018.9)\nRequirement already satisfied: six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7.3->pandas>=0.24.0->yfinance) (1.15.0)\nRequirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2021.10.8)\nRequirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2.10)\nRequirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (1.24.3)\nRequirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.7/dist-packages (from requests>=2.26->yfinance) (2.0.12)\nInstalling collected packages: requests, lxml, yfinance\n  Attempting uninstall: requests\n    Found existing installation: requests 2.23.0\n    Uninstalling requests-2.23.0:\n      Successfully uninstalled requests-2.23.0\n  Attempting uninstall: lxml\n    Found existing installation: lxml 4.2.6\n    Uninstalling lxml-4.2.6:\n      Successfully uninstalled lxml-4.2.6\n\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\ngoogle-colab 1.0.0 requires requests~=2.23.0, but you have requests 2.27.1 which is incompatible.\ndatascience 0.10.6 requires folium==0.2.1, but you have folium 0.8.3 which is incompatible.\u001b[0m\nSuccessfully installed lxml-4.8.0 requests-2.27.1 yfinance-0.1.70\n"},{"output_type":"display_data","data":{"application/vnd.colab-display-data+json":{"pip_warning":{"packages":["requests"]}}},"metadata":{}}],"execution_count":70},{"cell_type":"code","source":"import yfinance as yf\npfe = yf.Ticker('PFE')\npfe.info","metadata":{"id":"kfHFLprKGM8l","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"83c8a91ed5a84d2b94017cd34bf7148f","outputId":"33fc0ab4-d2ad-43ca-ddd4-a1fce2372cbe","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":4768,"user_tz":300,"timestamp":1645913647327},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"{'52WeekChange': 0.41644406,\n 'SandP52WeekChange': 0.123744845,\n 'address1': '235 East 42nd Street',\n 'algorithm': None,\n 'annualHoldingsTurnover': None,\n 'annualReportExpenseRatio': None,\n 'ask': 47.63,\n 'askSize': 1800,\n 'averageDailyVolume10Day': 31897490,\n 'averageVolume': 41594635,\n 'averageVolume10days': 31897490,\n 'beta': 0.684733,\n 'beta3Year': None,\n 'bid': 47.65,\n 'bidSize': 1200,\n 'bookValue': 13.49,\n 'category': None,\n 'circulatingSupply': None,\n 'city': 'New York',\n 'companyOfficers': [],\n 'country': 'United States',\n 'currency': 'USD',\n 'currentPrice': 47.72,\n 'currentRatio': None,\n 'dateShortInterest': 1643587200,\n 'dayHigh': 48.03,\n 'dayLow': 45.74,\n 'debtToEquity': 52.496,\n 'dividendRate': 1.6,\n 'dividendYield': 0.0335,\n 'earningsGrowth': 4.575,\n 'earningsQuarterlyGrowth': 4.712,\n 'ebitda': 31947665408,\n 'ebitdaMargins': 0.39301997,\n 'enterpriseToEbitda': 8.711,\n 'enterpriseToRevenue': 3.424,\n 'enterpriseValue': 278298001408,\n 'exDividendDate': 1643241600,\n 'exchange': 'NYQ',\n 'exchangeTimezoneName': 'America/New_York',\n 'exchangeTimezoneShortName': 'EST',\n 'expireDate': None,\n 'fiftyDayAverage': 54.1052,\n 'fiftyTwoWeekHigh': 61.71,\n 'fiftyTwoWeekLow': 33.44,\n 'financialCurrency': 'USD',\n 'fiveYearAverageReturn': None,\n 'fiveYearAvgDividendYield': 3.66,\n 'floatShares': 5607197603,\n 'forwardEps': 52.23,\n 'forwardPE': 0.91365117,\n 'freeCashflow': None,\n 'fromCurrency': None,\n 'fundFamily': None,\n 'fundInceptionDate': None,\n 'gmtOffSetMilliseconds': '-18000000',\n 'grossMargins': 0.62281,\n 'grossProfits': 50627000000,\n 'heldPercentInsiders': 0.0004,\n 'heldPercentInstitutions': 0.68464,\n 'impliedSharesOutstanding': 0,\n 'industry': 'Drug Manufacturers—General',\n 'isEsgPopulated': False,\n 'lastCapGain': None,\n 'lastDividendDate': 1643241600,\n 'lastDividendValue': 0.4,\n 'lastFiscalYearEnd': 1640908800,\n 'lastMarket': None,\n 'lastSplitDate': 1605571200,\n 'lastSplitFactor': '1054:1000',\n 'legalType': None,\n 'logo_url': 'https://logo.clearbit.com/pfizer.com',\n 'longBusinessSummary': 'Pfizer Inc. discovers, develops, manufactures, markets, distributes, and sells biopharmaceutical products worldwide. It offers medicines and vaccines in various therapeutic areas, including cardiovascular metabolic and pain under the Eliquis, Chantix/Champix, and Premarin family brands; biologics, small molecules, immunotherapies, and biosimilars under the Ibrance, Xtandi, Sutent, Inlyta, Retacrit, Lorbrena, and Braftovi brands; and sterile injectable and anti-infective medicines under the Sulperazon, Medrol, Zithromax, Vfend, and Panzyga brands. The company also provides medicines and vaccines in various therapeutic areas, such as pneumococcal disease, meningococcal disease, tick-borne encephalitis, and COVID-19 under the Prevnar 13/Prevenar 13 (pediatric/adult), Nimenrix, FSME/IMMUN-TicoVac, Trumenba, and the Pfizer-BioNTech COVID-19 vaccine brands; biosimilars for chronic immune and inflammatory diseases under the Xeljanz, Enbrel, Inflectra, and Eucrisa/Staquis brands; and amyloidosis, hemophilia, and endocrine diseases under the Vyndaqel/Vyndamax, BeneFIX, and Genotropin brands. In addition, the company is involved in the contract manufacturing business. It serves wholesalers, retailers, hospitals, clinics, government agencies, pharmacies, and individual provider offices, as well as disease control and prevention centers. The company has collaboration agreements with Bristol-Myers Squibb Company; Astellas Pharma US, Inc.; Myovant Sciences Ltd.; Akcea Therapeutics, Inc; Merck KGaA; Valneva SE; BioNTech SE; Arvinas, Inc.; and Syapse, Inc. Pfizer Inc. was founded in 1849 and is headquartered in New York, New York.',\n 'longName': 'Pfizer Inc.',\n 'market': 'us_market',\n 'marketCap': 268346261504,\n 'maxAge': 1,\n 'maxSupply': None,\n 'messageBoardId': 'finmb_162270',\n 'morningStarOverallRating': None,\n 'morningStarRiskRating': None,\n 'mostRecentQuarter': 1640908800,\n 'navPrice': None,\n 'netIncomeToCommon': 22413000704,\n 'nextFiscalYearEnd': 1703980800,\n 'numberOfAnalystOpinions': 23,\n 'open': 45.81,\n 'openInterest': None,\n 'operatingCashflow': None,\n 'operatingMargins': 0.33025002,\n 'payoutRatio': 0.3969,\n 'pegRatio': 0.94,\n 'phone': '212 733 2323',\n 'preMarketPrice': None,\n 'previousClose': 45.96,\n 'priceHint': 2,\n 'priceToBook': 3.5374353,\n 'priceToSalesTrailing12Months': 3.3011792,\n 'profitMargins': 0.27038,\n 'quickRatio': None,\n 'quoteType': 'EQUITY',\n 'recommendationKey': 'buy',\n 'recommendationMean': 2.4,\n 'regularMarketDayHigh': 48.03,\n 'regularMarketDayLow': 45.74,\n 'regularMarketOpen': 45.81,\n 'regularMarketPreviousClose': 45.96,\n 'regularMarketPrice': 47.72,\n 'regularMarketVolume': 29894270,\n 'returnOnAssets': None,\n 'returnOnEquity': 0.32212,\n 'revenueGrowth': 1.04,\n 'revenuePerShare': 14.513,\n 'revenueQuarterlyGrowth': None,\n 'sector': 'Healthcare',\n 'sharesOutstanding': 5612870144,\n 'sharesPercentSharesOut': 0.0123000005,\n 'sharesShort': 69221304,\n 'sharesShortPreviousMonthDate': 1640908800,\n 'sharesShortPriorMonth': 58635375,\n 'shortName': 'Pfizer, Inc.',\n 'shortPercentOfFloat': 0.0123000005,\n 'shortRatio': 1.8,\n 'startDate': None,\n 'state': 'NY',\n 'strikePrice': None,\n 'symbol': 'PFE',\n 'targetHighPrice': 76,\n 'targetLowPrice': 46,\n 'targetMeanPrice': 59.86,\n 'targetMedianPrice': 59.5,\n 'threeYearAverageReturn': None,\n 'toCurrency': None,\n 'totalAssets': None,\n 'totalCash': 29702000640,\n 'totalCashPerShare': 5.292,\n 'totalDebt': 39879000064,\n 'totalRevenue': 81288003584,\n 'tradeable': False,\n 'trailingAnnualDividendRate': 1.56,\n 'trailingAnnualDividendYield': 0.033942558,\n 'trailingEps': 3.854,\n 'trailingPE': 12.381941,\n 'trailingPegRatio': 1.0195,\n 'twoHundredDayAverage': 46.707,\n 'volume': 29894270,\n 'volume24Hr': None,\n 'volumeAllCurrencies': None,\n 'website': 'https://www.pfizer.com',\n 'yield': None,\n 'ytdReturn': None,\n 'zip': '10017'}"},"metadata":{},"execution_count":72}],"execution_count":72},{"cell_type":"code","source":"# Scar los dividendos\npfe.actions","metadata":{"id":"YZj3z3_nGY-Z","colab":{"height":455,"base_uri":"https://localhost:8080/"},"cell_id":"fb3c476888014e6893a23d5910cc3394","outputId":"717059f3-19c2-46df-c028-0f2d29e2326f","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":1646,"user_tz":300,"timestamp":1645913677573},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-4974975f-cab3-4fa8-82d5-c8c22211295d\">\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>Dividends</th>\n      <th>Stock Splits</th>\n    </tr>\n    <tr>\n      <th>Date</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1972-08-29</th>\n      <td>0.003163</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1972-11-28</th>\n      <td>0.004151</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1973-02-28</th>\n      <td>0.003163</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1973-05-30</th>\n      <td>0.003163</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>1973-08-28</th>\n      <td>0.003163</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2021-01-28</th>\n      <td>0.390000</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-05-06</th>\n      <td>0.390000</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-07-29</th>\n      <td>0.390000</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2021-11-04</th>\n      <td>0.390000</td>\n      <td>0.0</td>\n    </tr>\n    <tr>\n      <th>2022-01-27</th>\n      <td>0.400000</td>\n      <td>0.0</td>\n    </tr>\n  </tbody>\n</table>\n<p>205 rows × 2 columns</p>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4974975f-cab3-4fa8-82d5-c8c22211295d')\"\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-4974975f-cab3-4fa8-82d5-c8c22211295d 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-4974975f-cab3-4fa8-82d5-c8c22211295d');\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":"            Dividends  Stock Splits\nDate                               \n1972-08-29   0.003163           0.0\n1972-11-28   0.004151           0.0\n1973-02-28   0.003163           0.0\n1973-05-30   0.003163           0.0\n1973-08-28   0.003163           0.0\n...               ...           ...\n2021-01-28   0.390000           0.0\n2021-05-06   0.390000           0.0\n2021-07-29   0.390000           0.0\n2021-11-04   0.390000           0.0\n2022-01-27   0.400000           0.0\n\n[205 rows x 2 columns]"},"metadata":{},"execution_count":73}],"execution_count":73},{"cell_type":"code","source":"pfe.history?","metadata":{"id":"EVHsVNfsGnWC","cell_id":"b79b82ed0dd4491e8b1efc52cde9c974","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":615,"user_tz":300,"timestamp":1645913738221},"deepnote_cell_type":"code"},"outputs":[],"execution_count":75},{"cell_type":"code","source":"# period: Valid periods: 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max\n# Tambien se puede colocar start, end \nhist = pfe.history(period=\"6mo\")\nhist","metadata":{"id":"1Y6dOx-sGfbe","colab":{"height":455,"base_uri":"https://localhost:8080/"},"cell_id":"7f68cbe3dfc94fd0be42f6daafa00781","outputId":"a2000414-cf12-4de4-b0bc-6cf1091f2b4e","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":947,"user_tz":300,"timestamp":1645913723885},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/html":"\n  <div id=\"df-0632f92e-a32b-4224-983d-925c46fa4bfc\">\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>Open</th>\n      <th>High</th>\n      <th>Low</th>\n      <th>Close</th>\n      <th>Volume</th>\n      <th>Dividends</th>\n      <th>Stock Splits</th>\n    </tr>\n    <tr>\n      <th>Date</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>2021-08-26</th>\n      <td>46.928141</td>\n      <td>47.380697</td>\n      <td>46.534612</td>\n      <td>46.613319</td>\n      <td>29029300</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2021-08-27</th>\n      <td>46.603480</td>\n      <td>46.731378</td>\n      <td>45.777073</td>\n      <td>45.845940</td>\n      <td>32874400</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2021-08-30</th>\n      <td>45.452413</td>\n      <td>46.396878</td>\n      <td>45.413060</td>\n      <td>46.003349</td>\n      <td>25774400</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2021-08-31</th>\n      <td>45.964000</td>\n      <td>46.377202</td>\n      <td>45.186782</td>\n      <td>45.324516</td>\n      <td>34547800</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2021-09-01</th>\n      <td>45.442572</td>\n      <td>45.511439</td>\n      <td>44.685032</td>\n      <td>45.295002</td>\n      <td>32900100</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2022-02-18</th>\n      <td>48.779999</td>\n      <td>49.520000</td>\n      <td>48.200001</td>\n      <td>48.529999</td>\n      <td>26939500</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-02-22</th>\n      <td>47.540001</td>\n      <td>48.310001</td>\n      <td>47.349998</td>\n      <td>47.529999</td>\n      <td>34814800</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-02-23</th>\n      <td>47.590000</td>\n      <td>48.160000</td>\n      <td>46.779999</td>\n      <td>46.869999</td>\n      <td>25793000</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-02-24</th>\n      <td>45.860001</td>\n      <td>46.759998</td>\n      <td>45.400002</td>\n      <td>45.959999</td>\n      <td>44227300</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-02-25</th>\n      <td>45.810001</td>\n      <td>48.029999</td>\n      <td>45.740002</td>\n      <td>47.720001</td>\n      <td>31191800</td>\n      <td>0.0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>127 rows × 7 columns</p>\n</div>\n      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0632f92e-a32b-4224-983d-925c46fa4bfc')\"\n              title=\"Convert this dataframe to an 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Volume  Dividends  Stock Splits\nDate                                         ...                                   \n2021-08-26  46.928141  47.380697  46.534612  ...  29029300        0.0             0\n2021-08-27  46.603480  46.731378  45.777073  ...  32874400        0.0             0\n2021-08-30  45.452413  46.396878  45.413060  ...  25774400        0.0             0\n2021-08-31  45.964000  46.377202  45.186782  ...  34547800        0.0             0\n2021-09-01  45.442572  45.511439  44.685032  ...  32900100        0.0             0\n...               ...        ...        ...  ...       ...        ...           ...\n2022-02-18  48.779999  49.520000  48.200001  ...  26939500        0.0             0\n2022-02-22  47.540001  48.310001  47.349998  ...  34814800        0.0             0\n2022-02-23  47.590000  48.160000  46.779999  ...  25793000        0.0             0\n2022-02-24  45.860001  46.759998  45.400002  ...  44227300        0.0             0\n2022-02-25  45.810001  48.029999  45.740002  ...  31191800        0.0             0\n\n[127 rows x 7 columns]"},"metadata":{},"execution_count":74}],"execution_count":74},{"cell_type":"markdown","source":"# Lectura en serie de datos","metadata":{"id":"bcpRq8HhG6jV","cell_id":"6d74359ea9354316b69220bf2b55130b","deepnote_cell_type":"markdown"}},{"cell_type":"code","source":"tickers = ['TSLA', 'API', 'LMND','MRK','GOOG']\nimport matplotlib.pyplot as plt\nfor i,ticker in enumerate(tickers):\n  current_ticker = yf.Ticker(ticker)\n  plt.subplot(len(tickers),1,i+1)\n  current_ticker.history(period='365d')['Close'].plot(figsize=   (16,60), title='Precio historico de 1 de un año para: '+ticker)","metadata":{"id":"IoxOkTisG8HN","colab":{"height":1000,"base_uri":"https://localhost:8080/"},"cell_id":"8e776768128f417ab28463642cad8772","outputId":"f12fe6aa-efe1-44fd-cca8-88ee718f20b3","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":4235,"user_tz":300,"timestamp":1645913886224},"deepnote_cell_type":"code"},"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":"<Figure size 1152x4320 with 5 Axes>"},"metadata":{"needs_background":"light"}}],"execution_count":76},{"cell_type":"code","source":"# Informacion del primero\nticker = tickers[0]\nyf_info = yf.Ticker(ticker).info\nprint(ticker)","metadata":{"id":"vBEZfoytHSIe","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"9cab53396ccd44b2a88c169c0df2f464","outputId":"7099a6bb-32f3-4fbe-88a0-bc1a221ca849","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":5332,"user_tz":300,"timestamp":1645913923260},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"TSLA\n"}],"execution_count":77},{"cell_type":"code","source":"# Creciemito de 52 semanas\nyf_info['52WeekChange']","metadata":{"id":"sZsvqeqaHaGq","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"b9ed651f93b942b8b77f6e5e519e31c5","outputId":"37034b2b-85ee-41b0-e3d5-a22b39826e4a","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":637,"user_tz":300,"timestamp":1645913956760},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"0.1272775"},"metadata":{},"execution_count":78}],"execution_count":78},{"cell_type":"code","source":"# Sacando algunas estadisticas de interes\nstock_52w_change = []\nprofitsMargins = []\ntickers = ['NVS','JNJ','ABBV','AMGN']\nfor ticker in tickers:\n  print(ticker)\n  current_ticker = yf.Ticker(ticker)\n  current_ticker_info = current_ticker.info\n  stock_52w_change.append(current_ticker_info['52WeekChange'])\n  profitsMargins.append(current_ticker_info['profitMargins'])","metadata":{"id":"utB1E0HKHjFn","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"32a9c479d9084cd1a9bbd3bf01dae789","outputId":"3aaf0c62-1b0e-444e-a339-1f6f60b0110c","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":20312,"user_tz":300,"timestamp":1645914012283},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"NVS\nJNJ\nABBV\nAMGN\n"}],"execution_count":79},{"cell_type":"code","source":"stock_52w_change","metadata":{"id":"EDuNrUNiHs_8","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"53803d79a16e4633be371bc892c0a294","outputId":"0dc1826a-a13f-468e-eca1-f4fceb29fc71","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":12,"user_tz":300,"timestamp":1645914023529},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"[0.0020582676, 0.041928172, 0.3793931, -4.4047832e-05]"},"metadata":{},"execution_count":80}],"execution_count":80},{"cell_type":"code","source":"profitsMargins","metadata":{"id":"swvO94aPHuhn","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"ec6914b341ca42fd91c1ea06a5a014b5","outputId":"ae9f35b4-c43c-4bcf-8ed7-56063c229826","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":638,"user_tz":300,"timestamp":1645914028836},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"[0.45428002, 0.22264, 0.20538001, 0.22684]"},"metadata":{},"execution_count":81}],"execution_count":81},{"cell_type":"code","source":"import pandas as pd\ndf = pd.DataFrame([stock_52w_change, profitsMargins], columns=tickers, index={'52w change', 'profitMargins'})\nprint(df)","metadata":{"id":"FON_H7VbH7_f","colab":{"base_uri":"https://localhost:8080/"},"cell_id":"55075ce3a030416c95285b36cdc6ed8a","outputId":"be041c44-b903-4929-99f2-200d0696ff62","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":486,"user_tz":300,"timestamp":1645914084136},"deepnote_cell_type":"code"},"outputs":[{"output_type":"stream","name":"stdout","text":"                    NVS       JNJ      ABBV      AMGN\nprofitMargins  0.002058  0.041928  0.379393 -0.000044\n52w change     0.454280  0.222640  0.205380  0.226840\n"}],"execution_count":83},{"cell_type":"code","source":"import matplotlib.ticker as mtick\nax = df.plot.bar()\nax.yaxis.set_major_formatter(mtick.PercentFormatter(xmax=1))\nax.set_title('Comparando margenes de profit y tasas de crecimiento en 52 semanas para stocks farmacias')","metadata":{"id":"0saMXBxEHvvC","colab":{"height":374,"base_uri":"https://localhost:8080/"},"cell_id":"04d9fd0f30144279b05befcf435be9a0","outputId":"1a644713-59b7-4d7a-c737-4cd9d82de9f0","executionInfo":{"user":{"userId":"09471607480253994520","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GjvGjd5VpSUEHTxlxXRYAinh8eCspL5nxvcW9wD=s64","displayName":"David Francisco Bustos Usta"},"status":"ok","elapsed":471,"user_tz":300,"timestamp":1645914087052},"deepnote_cell_type":"code"},"outputs":[{"output_type":"execute_result","data":{"text/plain":"Text(0.5, 1.0, 'Comparando margenes de profit y tasas de crecimiento en 52 semanas para stocks farmacias')"},"metadata":{},"execution_count":84},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":"<Figure 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> </img>\nCreated in <span style='font-weight:600;margin-left:4px;'>Deepnote</span></a>","metadata":{"created_in_deepnote_cell":true,"deepnote_cell_type":"markdown"}}],"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Clase 1.ipynb","provenance":[],"authorship_tag":"ABX9TyMX7/X8fmubJFeitpCS8sXJ","collapsed_sections":[]},"deepnote":{},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"deepnote_notebook_id":"8aeb42479bd84ca9b3ccf31108efbe55","deepnote_execution_queue":[]}}