13.3.13. Macro “dataserverComputeCorrelationMatrixVector.py”

13.3.13.1. Objective

This part shows the complete code used to produce the console display in Special case of vector.

13.3.13.2. Macro Uranie

"""
Example of correlation matrix computation for vector
"""
from URANIE import DataServer

tdsop = DataServer.TDataServer("foo", "poet")
tdsop.fileDataRead("tdstest.dat")

# Consider a and x attributes (every element of the vector)
globalOne = tdsop.computeCorrelationMatrix("x:a")
globalOne.Print()

# Consider a and x attributes (cherry-picking a single element of the vector)
focusedOne = tdsop.computeCorrelationMatrix("x[1]:a")
focusedOne.Print()

13.3.13.3. Console

This macro should result in this output in console.

4x4 matrix is as follows

     |      0    |      1    |      2    |      3    |
---------------------------------------------------------
   0 |          1      0.9449      0.6286       0.189 
   1 |     0.9449           1      0.8486         0.5 
   2 |     0.6286      0.8486           1      0.8825 
   3 |      0.189         0.5      0.8825           1 


2x2 matrix is as follows

     |      0    |      1    |
-------------------------------
   0 |          1         0.5 
   1 |        0.5           1