Solved – Geometric interpretation of covariance matrix

In the following graph, the diagonal elements in the covariance matrix are the same, which I suppose means the spread of data in either direction should be the same, but why the data points are still more elongated in one direction rather than being a circle?
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Diagonal elements are the variances in the direction of x, y whereas the eigenvalues are the magnitude of variances in the direction of the first and second Principal Components.

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