categulario

import json
import requests
import pandas
from pandas.io.json import json_normalize
import geopandas as gpd
import matplotlib.pyplot as plt

url = "https://smn.conagua.gob.mx/tools/PHP/sivea/siveaEsri2/php/temp_genjson.php?per=T3"
resp = requests.get(url)
data = resp.json()

categulario

Diagrama Xalapa
44.4,46.7,41.4,65.9,110.8,278,206.1,164.9,255,89.4,58.7,50
15.7,16.6,18.8,21.1,22,21.7,20.7,20.8,20.4,19.3,17.8,16.4
Diagrama Perote
13.3,14.2,11.1,26.2,34.8,74.9,53.3,54.6,110.8,76,24.8,13.8
9.9,10.9,13.3,14.9,15.4,14.7,13.6,13.4,13.4,12,10.7,12.7
Diagrama Paso de ovejas
14.8,10.2,8.6,10.6,32.3,172.6,239,180.5,161.3,61.2,27.8,14.7
21.4,22.2,24.3,26.7,28.2,28.1,26.7,26.9,26.9,25.8,24.2,22.1
Diagrama las Vigas

categulario

import random


def quicksort_iterativo(lista: [int]) -> [int]:
    ''' Una implementación del mismo algoritmo que conoces y amas, pero sin
    utilizar recursión, solo bucles y una pila '''
    ordenada = lista[:]

    pila = [(0, len(lista) - 1)]