jpcrespo

import numpy as np
import matplotlib.pyplot as plt
from time import time


A=[]

N = np.logspace(2,8,num=10,endpoint=True)
N = np.around(N).astype(int) #numeros enteros

jpcrespo

import numpy as np
import matplotlib.pyplot as plt
from time import time

N = np.logspace(2,8,num=10,endpoint=True)
N = np.around(N).astype(int)
A=[]
pis=[]
tiempo_inicial = time() 
for i in N:

jpcrespo

import numpy as np
import matplotlib.pyplot as plt
from time import time
#Obtenemos un vector que nos de el dato de N
#equiespaciado

N = np.logspace(2,8,num=10,endpoint=True)
N = np.around(N).astype(int)

#Se busca crear la matriz de datos x,y aleatorios

jpcrespo

import numpy as np
import pandas as pd
import seaborn as sns
import os
from Bio import SeqIO

for sequence in SeqIO.parse('MN908947.fna', "fasta"):
    a = sequence.seq  
print('Análisis del genoma Covid19')
print(len(a),'Nucleotidos')

jpcrespo

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