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Scattering() for volatility_opt and returns not displaying for matplot: x and y not the same size

I'm trying to represent the efficient frontier from an old financial model (MPT). Everything is fine until it comes to representation. In particular, from Matplot I got a neverending error, and from Plotly (I've tried both) a blank figure.

The first code is the following:

returns = np.linspace(0, 0.7, 50) volatility_opt = []

def GR(w):
    w = np.array(w)
    R = np.sum(meanlogReturns*w)
    return R

for R in returns:
    opt = minimize(minimizeMyvolatility, w0, method = 'SLSQP', bounds = bounds, constraints = constraints)
    constraints = ({'type': 'eq', 'fun': b},
                   {'type': 'eq', 'fun': lambda w: GR(w) - R})

def minimizeMyvolatility(w):
    w =np.array(w)
    V = np.sqrt(np.dot(w.T, np.dot(Sigma, w)))
    return V

volatility_opt.append(opt['fun'])

The scatter is working only without the plt.scatter() for volatility and returns:

plt.figure(figsize=(20,6)) 
plt.scatter(expectedVolatility,expectedReturn,c=sharpeRatio)
plt.xlabel('expected volatility') 
plt.ylabel('expected log returns')
plt.colorbar(label='sharpe ratio')
plt.scatter(expectedVolatility[maxIndex],expectedReturn[maxIndex],c='red')
plt.scatter(volatility_opt,returns) 
plt.show()

ValueError: x and y must be the same size



source https://stackoverflow.com/questions/74071820/scattering-for-volatility-opt-and-returns-not-displaying-for-matplot-x-and-y
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