title: Bivariate Gaussian density function in Numpy and Matplotlib
body: <p>How to plot bivariate Gaussian density function in Numpy and Matplotlib using a given mean and covariance matrix? It could be a surface or contour plot. I want a generic solution using mean vector and covariance matrix which doesn't involve individual Sigmas.</p>
  
  <pre><code>mean, cov, n_samples = np.array([0.,0.]), np.array([[1.0,0.5],[0.5,1.0]]), 100
  </code></pre>
  
  <p>Thanks,</p>
  
  <p>@Aso.agile</p>