Copia de Tema 6 diccionarios editable.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[{"file_id":"1dOH4dMWBh83n5BGqPcz3IfE6eg8e-jS0","timestamp":1686872588743},{"file_id":"1rfvT4uOR_mM573NfzXCVvLMUc7hV-vka","timestamp":1686797803398}]},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","source":["import numpy as np#Importemos numpy para usarlo más adelante\n","import matplotlib.pyplot as plt#Importemos matplotlib.pyplot para usarlo más adelante"],"metadata":{"id":"VJ2Hx-elQyL7"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["Las siguientes listas nos dan algunos de los datos en méxico de acuerdo al INEGI"],"metadata":{"id":"aS-3zXtzQx85"}},{"cell_type":"code","source":["categoria=[\"Personas empleadas\",\"Con 1 salario min\",\"Con 2 salarios min\",\"Con 3 salarios min\",\"Con 5 salarios min\", \"Con más de 5 salarios min\"]\n","pob=[36038272,20971572,19776708,5029766,1955446,662890]"],"metadata":{"id":"WLAzgXspQxcI"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["¿Cómo encontramos la población que tiene 3 salarios minimos? (\"Con 3 salarios min\")"],"metadata":{"id":"_lecrOdDRCLF"}},{"cell_type":"code","source":["categoria.index(\"Con 3 salarios min\")#Encontramos el índice de \"Con 3 salarios min\""],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"AI419EBpRLcH","executionInfo":{"status":"ok","timestamp":1686872612006,"user_tz":360,"elapsed":204,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"5952077c-7ab8-4d0b-fbea-24a8a3862f26"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["3"]},"metadata":{},"execution_count":3}]},{"cell_type":"code","source":["pob[3] #Usamos ese índice en la otra lista"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"QI8wTQhjRnP9","executionInfo":{"status":"ok","timestamp":1686872614488,"user_tz":360,"elapsed":210,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"a4169749-9d0b-40ae-b07a-db832d87535b"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["5029766"]},"metadata":{},"execution_count":4}]},{"cell_type":"markdown","source":["Aunque funciona, hay varios problemas de tener los datos en listas separadas. Si quiero encontrar en que categoria hay más gente hay que hacerlo en 2 pasos. Es imposible reordenar las categorias.  ETC"],"metadata":{"id":"HiibQvzqRq4c"}},{"cell_type":"markdown","source":["###Creemos un diccionario"],"metadata":{"id":"h1ujfRRbKO8j"}},{"cell_type":"code","source":["#diccionario = {\"key1\":\"value1\",\"key2\":\"value2\"}"],"metadata":{"id":"8lCaMZ-GKSFx"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["empleo={categoria[0]:pob[0],categoria[1]:pob[1],categoria[2]:pob[2],categoria[3]:pob[3],categoria[4]:pob[4],categoria[5]:pob[5]}"],"metadata":{"id":"G3dQgJlLST6F"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(empleo)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Dvr8l9BfKUIq","executionInfo":{"status":"ok","timestamp":1686872622747,"user_tz":360,"elapsed":212,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"0310a94b-ff9b-4db3-bb17-1ee410b7483e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["{'Personas empleadas': 36038272, 'Con 1 salario min': 20971572, 'Con 2 salarios min': 19776708, 'Con 3 salarios min': 5029766, 'Con 5 salarios min': 1955446, 'Con más de 5 salarios min': 662890}\n"]}]},{"cell_type":"code","source":["type(empleo)#¿Qué tipo de variable es empleo?"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"okkDoHLPStRv","executionInfo":{"status":"ok","timestamp":1686872626229,"user_tz":360,"elapsed":152,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"5ef4bd4f-1430-4b86-d743-0c5c67478586"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["dict"]},"metadata":{},"execution_count":7}]},{"cell_type":"code","source":["empleo[\"Con 3 salarios min\"]#¿Cuántas personas estan \"Con 3 salarios min\"? Podemos usar este texto directamente como índice"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"00-ip7fdS_eR","executionInfo":{"status":"ok","timestamp":1686872628371,"user_tz":360,"elapsed":155,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"d4776445-d0c9-43e8-ab2b-f06e1d88be77"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["5029766"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["empleo[\"Pob sin empleo\"]=39658166 #Agreguemos la Población sin empleo que son: 39658166"],"metadata":{"id":"-bYU5UFPTNRs"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["\"Pob sin empleo\" in empleo #Para verificar si una clave está o no en el diccionario"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"MA5uRQQnTejY","executionInfo":{"status":"ok","timestamp":1686872637553,"user_tz":360,"elapsed":187,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"a7a26dc8-81a1-4ac9-83d2-dedadd872168"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":10}]},{"cell_type":"code","source":["empleo.keys() #Para ver las claves del diccionario"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VLtlR22vTpS8","executionInfo":{"status":"ok","timestamp":1686872642683,"user_tz":360,"elapsed":236,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"7f9e6c18-7a4e-4d18-9aa9-4769ac725074"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["dict_keys(['Personas empleadas', 'Con 1 salario min', 'Con 2 salarios min', 'Con 3 salarios min', 'Con 5 salarios min', 'Con más de 5 salarios min', 'Pob sin empleo'])"]},"metadata":{},"execution_count":11}]},{"cell_type":"code","source":["empleo.values() #Para ver los valores del diccionario"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"l6ziY07EEmtT","executionInfo":{"status":"ok","timestamp":1686872644412,"user_tz":360,"elapsed":165,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"d65bcaa7-846e-4f1f-8db1-eeb8731f542e"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["dict_values([36038272, 20971572, 19776708, 5029766, 1955446, 662890, 39658166])"]},"metadata":{},"execution_count":12}]},{"cell_type":"code","source":["empleo[\"Pob sin empleo\"]=39658166 #Nos faltó un 6 en la población sin empleo (Era 39658166) modifiquemos"],"metadata":{"id":"hWDx859STzDs"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(empleo[\"Pob sin empleo\"]) #Veamos que se haya modificado ese valor"],"metadata":{"id":"fNOqzqDhT-XF","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686872649234,"user_tz":360,"elapsed":3,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"7f4f2f15-63d1-44f1-d9fa-b9b8c4f68e3a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["39658166\n"]}]},{"cell_type":"code","source":["del(empleo[\"Pob sin empleo\"])#Borremos ese dato \"Población sin empleo\" del diccionario"],"metadata":{"id":"_84xOA6OUD5G"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#Ver si se encuentra la clave \"Población sin empleo\""],"metadata":{"id":"p3v3tGQvUJNn"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(empleo)"],"metadata":{"id":"YhpPE026Urw3","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686872657122,"user_tz":360,"elapsed":171,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"da4ffe4b-7877-495f-c048-8e8317a88957"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["{'Personas empleadas': 36038272, 'Con 1 salario min': 20971572, 'Con 2 salarios min': 19776708, 'Con 3 salarios min': 5029766, 'Con 5 salarios min': 1955446, 'Con más de 5 salarios min': 662890}\n"]}]},{"cell_type":"code","source":["len(empleo)#longitud de un diccionario (es en realidad el número de claves)"],"metadata":{"id":"6uxccX8AgUOk","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686872661601,"user_tz":360,"elapsed":202,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"a7d70238-f844-4459-a3a2-f2eb320f3da0"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["6"]},"metadata":{},"execution_count":17}]},{"cell_type":"markdown","source":["Recuerda: los diccionarios no pueden tener dos claves iguales"],"metadata":{"id":"MCOGeXvQf6Q7"}},{"cell_type":"code","source":["dicci={\"A\":1,\"B\":2,\"C\":3,\"B\":4} #¿Qué pasa si hacemos un diccionario con 2 claves iguales?"],"metadata":{"id":"VSCbaLwRgDZs"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(dicci) #Solo toma la última definida"],"metadata":{"id":"rDaxzjAZgLcL","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686872759553,"user_tz":360,"elapsed":5,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"762e96a9-8f8b-4f64-c407-effe0a3db808"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["{'A': 1, 'B': 4, 'C': 3}\n"]}]},{"cell_type":"code","source":["plt.bar(empleo) #no se puede graficar directamente un diccionario"],"metadata":{"id":"UXn7_-4GDnYd","colab":{"base_uri":"https://localhost:8080/","height":167},"executionInfo":{"status":"error","timestamp":1686872764357,"user_tz":360,"elapsed":176,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"069a84cb-30a3-4c32-8422-903be716aab0"},"execution_count":null,"outputs":[{"output_type":"error","ename":"TypeError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-20-ba5d7d731e93>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mempleo\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m#no se puede graficar directamente un diccionario\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;31mTypeError\u001b[0m: bar() missing 1 required positional argument: 'height'"]}]},{"cell_type":"code","source":["plt.bar(empleo.keys(),empleo.values()) #Hagamos una gráfica de barras (bar), recuerda que toma x,y donde x son las etiquetas de las barras\n","plt.xticks(rotation='vertical') #Corrijamos las etiquetas a vertical\n","plt.show()"],"metadata":{"id":"hxdCli4REypJ","colab":{"base_uri":"https://localhost:8080/","height":615},"executionInfo":{"status":"ok","timestamp":1686873113872,"user_tz":360,"elapsed":224,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"39b59819-332d-40f8-fe86-972b21115827"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["Ahora crearemos un diccionario de diccionarios con dos características por estado"],"metadata":{"id":"t3RI3QnrVaVG"}},{"cell_type":"code","source":["estados1={'Campeche': {\"población\":822441,\"estudiantes\":211818}, 'Nuevo León': {\"población\":4653458,\"estudiantes\":1027564}, 'Baja California Sur': {\"población\":637026,\"estudiantes\":125269}}"],"metadata":{"id":"airYbXQJVmHu"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["estados1[\"Campeche\"]#Ver los valores de Campeche"],"metadata":{"id":"1Ot0ES2JTsA2","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873209468,"user_tz":360,"elapsed":155,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"dc22a716-d900-4d90-eedd-bd0aae8eed27"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'población': 822441, 'estudiantes': 211818}"]},"metadata":{},"execution_count":27}]},{"cell_type":"code","source":["list((estados1['Campeche']['población'],estados1['Campeche']['estudiantes'])) #Convertir los valores de campeche a una lista"],"metadata":{"id":"bgMLpja-I_RN","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873801732,"user_tz":360,"elapsed":190,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"54937e7c-212d-4d57-da3c-8043f63231b2"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[822441, 211818]"]},"metadata":{},"execution_count":41}]},{"cell_type":"code","source":["estados1['Campeche']['población']#imprime la población de Campeche, usa 2 \"indices\""],"metadata":{"id":"AfpTran-WkrI","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873808978,"user_tz":360,"elapsed":186,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"5292823f-1a13-4591-ff80-b9981eb23cb3"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["822441"]},"metadata":{},"execution_count":42}]},{"cell_type":"code","source":["sonora={\"población\":2662480,\"estudiantes\":645161} #Hacemos un mini diccionario llamado sonora\n","estados1['Sonora']=sonora #Agrega a estados1 la información de Sonora"],"metadata":{"id":"AILh-8ZQXeMm"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["print(estados1)"],"metadata":{"id":"FoHxxgnhYgzp","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873653323,"user_tz":360,"elapsed":186,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"cf99d495-bc74-4540-c53e-98454dd0cd33"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["{'Campeche': {'población': 822441, 'estudiantes': 211818}, 'Nuevo León': {'población': 4653458, 'estudiantes': 1027564}, 'Baja California Sur': {'población': 637026, 'estudiantes': 125269}, 'Sonora': {'población': 2662480, 'estudiantes': 645161}}\n"]}]},{"cell_type":"code","source":["len(estados1) #longitud de estados1"],"metadata":{"id":"Wnq74dvRfHpQ","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873831972,"user_tz":360,"elapsed":12,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"ada968c2-03ef-4eca-9e5e-0e4cbf9d5daa"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["4"]},"metadata":{},"execution_count":43}]},{"cell_type":"code","source":["estados1.get(\"Campeche\") #Usemos el método get"],"metadata":{"id":"SaS79zA7gajF","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873835673,"user_tz":360,"elapsed":150,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"9fe05d1d-3a52-4886-a2c4-5c9cf0f580fb"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'población': 822441, 'estudiantes': 211818}"]},"metadata":{},"execution_count":44}]},{"cell_type":"code","source":["estados1[\"Campeche\"]"],"metadata":{"id":"QtLyVzY_gvBy","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873838008,"user_tz":360,"elapsed":184,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"0fe35c2d-7512-4f4c-e61f-4a9111c1c3fd"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'población': 822441, 'estudiantes': 211818}"]},"metadata":{},"execution_count":45}]},{"cell_type":"code","source":["estados1.keys() #veamos las claves de estados 1"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"EDbObtPJg5Hk","executionInfo":{"status":"ok","timestamp":1686873881036,"user_tz":360,"elapsed":211,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"bf184651-93b5-4d23-de3c-8612cbd69ea4"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["dict_keys(['Campeche', 'Nuevo León', 'Baja California Sur', 'Sonora'])"]},"metadata":{},"execution_count":46}]},{"cell_type":"code","source":["estados1.values() #veamos los valores de estados1"],"metadata":{"id":"k_UJ9_1rhHAA","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873895892,"user_tz":360,"elapsed":16,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"b0746ead-87fb-4d38-db3d-25859cd50a61"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["dict_values([{'población': 822441, 'estudiantes': 211818}, {'población': 4653458, 'estudiantes': 1027564}, {'población': 637026, 'estudiantes': 125269}, {'población': 2662480, 'estudiantes': 645161}])"]},"metadata":{},"execution_count":47}]},{"cell_type":"code","source":["\"población\"in estados1 #Me da falso porque \"población\" no es una clave de estados1"],"metadata":{"id":"nV4oO8xphKTE","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686873920878,"user_tz":360,"elapsed":207,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"9ec0f110-b321-44cc-8f0f-87b51fc09e08"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["False"]},"metadata":{},"execution_count":48}]},{"cell_type":"code","source":["\"población\" in estados1[\"Campeche\"] #Es una key en el diccionario de Campeche que está adentro de estados1"],"metadata":{"id":"8BhPYkNahgq1","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686874019309,"user_tz":360,"elapsed":217,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"589ac20c-f135-4ffe-cc9b-7635a04ccf25"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":49}]},{"cell_type":"code","source":["lista= [[estado['población'], estado['estudiantes']] for estado in estados1.values()] #for estado in estados1.values(): Esto itera sobre los valores del diccionario estados1. En cada iteración, la variable estado toma el valor de uno de los elementos del diccionario (en este caso, un diccionario anidado)."],"metadata":{"id":"6IvcsjpNpCwk"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["lista=[[estado['población'], estado['estudiantes']] for estado in estados1.values()]\n","print(lista)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"a7AIjlXfh9_B","executionInfo":{"status":"ok","timestamp":1686874314111,"user_tz":360,"elapsed":4,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"2d4e4198-c001-4765-f2c9-4f65a452d1ce"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["[[822441, 211818], [4653458, 1027564], [637026, 125269], [2662480, 645161]]\n"]}]},{"cell_type":"code","source":["arreglo=np.array(lista) #arreglo numpy array de la lista anterior"],"metadata":{"id":"7d_ScNCtQwKu"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["arreglo[:,1] #muestra los elementos correspondientes a estudiantes de cada estado"],"metadata":{"id":"suPyClVlRQhg","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1686874696274,"user_tz":360,"elapsed":13,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"cefbb046-cadf-4f14-90e2-e77a3e004385"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([ 211818, 1027564,  125269,  645161])"]},"metadata":{},"execution_count":60}]},{"cell_type":"markdown","source":["Hagamos una gráfica con barras dobles"],"metadata":{"id":"aeJhX1jgBsAv"}},{"cell_type":"code","source":["n = len(lista)\n","x = np.arange(n)\n","width = 0.25\n","plt.bar(x - width, arreglo[:,0], width=width, label='Población')\n","plt.bar(x, arreglo[:,1], width=width, label='Educación')\n","plt.xticks(x, estados1.keys())\n","plt.legend(loc='best') #\n","plt.show()\n","\n"],"metadata":{"id":"clyThak8F6ZF","colab":{"base_uri":"https://localhost:8080/","height":445},"executionInfo":{"status":"ok","timestamp":1686876383129,"user_tz":360,"elapsed":530,"user":{"displayName":"Roberto García Gómez","userId":"07651563382691562012"}},"outputId":"7b839a56-7319-4431-a504-1e8933060cf3"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"OE-xYWWslRa1"},"execution_count":null,"outputs":[]}]}