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    Compute correlation matrix from covariance matrix using numpy
  
        
  
    
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  | import numpy as np | |
| def correlation_from_covariance(covariance): | |
| v = np.sqrt(np.diag(covariance)) | |
| outer_v = np.outer(v, v) | |
| correlation = covariance / outer_v | |
| correlation[covariance == 0] = 0 | |
| return correlation | 
  
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