def calculos(aux):
    values = np.array(aux)

    #cria uma matriz que poe a True se nao for nan, e a False se for
    ok =~np.isnan(values)
    #cria uma matriz com numeros de 0 a 364
    xp = ok.ravel().nonzero()[0]
    fp = values[~np.isnan(values)]
    x  = np.isnan(values).ravel().nonzero()[0]
    #interpolacao
    values[np.isnan(values)] = np.interp(x, xp, fp)
    media=np.mean(values)
    print(media)
    std=np.std(values)
    print(std)
    final_list=[]
    for x in values:
        if (x > media - 2 * std and x < media + 2 * std):
            final_list.append(x)
        else:
            final_list.append(np.interp(x, xp, fp))
    print(final_list)

    #mostra grafico
def grafico(values):
    plt.figure('DataSet Graph\n')
    plt.title('DataSet Graph\n')
    lines = plt.plot(values)
    plt.setp(lines, 'color', 'r', 'linewidth', 1.0)
    xmarks=[i for i in range(0,364+1,15)]
    plt.xticks(xmarks)
    plt.axis([0, 370, 0, 40])
    plt.ylabel('Samples\n')
    plt.xlabel('\nNumber of Samples')
    plt.show()