Summing numpy array elements together

Question

i'm trying to make a polinomial calculator in which i can insert the largest coefficient, problem is, the xizes variable, that would be the image of the function is coming as multiple arrays, therefore the function graphic (using matplotlib) is coming like this (this is a third degree polynomial(x³+x²+x¹+x^0)): https://i.sstatic.net/2NGz6.jpg

is there a way to sum up the elements of each array? that would solve the problem

Here's the code:

expoente = int(input("insira o grau do polinomio (numero inteiro): "))
expoente = expoente+1
intervalo_1 = float(input("insira o intervalo desejado \n(ponto inicial): "))
intervalo_2 = float(input("(ponto final): " ))
expoentes = range(0, expoente)
expoentes = [item*1 for item in expoentes]


quantidade = (intervalo_2 - intervalo_1)*500
x = np.linspace(intervalo_1,intervalo_2,num=quantidade,endpoint=False)
xizes = [item**expoentes for item in x]
plt.plot(x,xizes, label="Grafico do polinomio")
plt.xlim([intervalo_1,intervalo_2])
plt.show()

alright, if i choose a third degree polinomial and ask it to print the xizes variable i receive many arrays like these: <[1. , 0.738, 0.544644, 0.40194727]> , these arrays are x values for every term of the polinomial, (1=x^0 0.738=x¹ 0.544644=x² 0.40194727= x³) — Marcel
– Marcel, Commented May 3, 2017 at 22:52

Marcel · Accepted Answer · 2017-05-03 23:52:43Z

1

nevermind, already figured it out, if it will help somebody later i added the folowing line to sum it

xizes = np.sum(xizes,axis=1)

answered May 3, 2017 at 23:52

Marcel

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