How do I check if my (x,y) are gaussian sampled?

Question

I want to get (x,y) of 100 particles (x and y being initial conditions) sampled from a 2D gaussian where the 2-D gaussian is a product of two 1-D Gaussians so that (x,y) corresponds to a point on the surface of a 3D gaussian figure.

I did the following for that:

"r"
 mu=np.random.uniform(0,1,10000)
 r=[sqrt(-2*log(1-i)) for i in mu]
 "theta"
 eta=np.random.uniform(0,1,10000)
 theta=2*pi*eta;
 cuz=[cos(i) for i in theta]
 suz=[sin(i) for i in theta]
 "initial conditions"
 Zinitial=[a*b for a,b in zip(r,cuz)];
 Pinitial=[a*b for a,b in zip(r,suz)];

I now want to confirm whether these data points actually are gaussian sampled by drawing contour or 3-d plot.

How can I do that?

Now consider the following code: Consider the following code:

def gauss2d(mu,sigma):
    x=gauss(mu,sigma);
    y=gauss(mu,sigma);
 return(x,y)
ic=[];
for i in range(50):
    ic.append(gauss2d(0,1))
    x=[x[0] for x in ic];
t=np.linspace(-2,2,50)
plt.plot(x,t)

This is what I get.

Why doesn't it look like a gaussian curve?

My plots of this and the one I did with a different method match but both don't look like a gaussian but the plot like above.

Answer 1

You can add condition as:

const questions = useSelector(state => state.questions ? state.questions : [])
const myQuestion = questions.find(q => q.id === selectedQuestion.id);
const answers = myQuestion && myQuestion.length > 0 ? myQuestion.answers : null;