13.3.11. Macro “dataserverNormaliseVector.py”

13.3.11.1. Objective

This part shows the complete code used to produce the console display in Normalising the variable.

13.3.11.2. Macro Uranie

"""
Example of vector normalisation
"""
from URANIE import DataServer

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

# Compute a global normalisation of v, CenterReduced
tdsop.normalize("v", "GCR", DataServer.TDataServer.kCR, True)
# Compute a normalisation of v, CenterReduced (not global but entry by entry)
tdsop.normalize("v", "CR", DataServer.TDataServer.kCR, False)

# Compute a global normalisation of v, Centered
tdsop.normalize("v", "GCent", DataServer.TDataServer.kCentered)
# Compute a normalisation of v, Centered  (not global but entry by entry)
tdsop.normalize("v", "Cent", DataServer.TDataServer.kCentered, False)

# Compute a global normalisation of v, ZeroOne
tdsop.normalize("v", "GZO", DataServer.TDataServer.kZeroOne)
# Compute a normalisation of v, ZeroOne (not global but entry by entry)
tdsop.normalize("v", "ZO", DataServer.TDataServer.kZeroOne, False)

# Compute a global normalisation of v, MinusOneOne
tdsop.normalize("v", "GMOO", DataServer.TDataServer.kMinusOneOne, True)
# Compute a normalisation of v, MinusOneOne (not global but entry by entry)
tdsop.normalize("v", "MOO", DataServer.TDataServer.kMinusOneOne, False)

tdsop.scan("v:vGCR:vCR:vGCent:vCent:vGZO:vZO:vGMOO:vMOO", "",
           "colsize=4 col=2:5::::::::")

13.3.11.3. Console

This macro should result in this output in console:

*************************************************************************************
*    Row   * Instance *  v *  vGCR *  vCR * vGCe * vCen * vGZO *  vZO * vGMO * vMOO *
*************************************************************************************
*        0 *        0 *  1 * -1.46 *   -1 *   -4 *   -3 *    0 *    0 *   -1 *   -1 *
*        0 *        1 *  2 * -1.09 *   -1 *   -3 *   -3 * 0.12 *    0 * -0.7 *   -1 *
*        0 *        2 *  3 * -0.73 *   -1 *   -2 *   -3 * 0.25 *    0 * -0.5 *   -1 *
*        1 *        0 *  4 * -0.36 *    0 *   -1 *    0 * 0.37 *  0.5 * -0.2 *    0 *
*        1 *        1 *  5 *     0 *    0 *    0 *    0 *  0.5 *  0.5 *    0 *    0 *
*        1 *        2 *  6 * 0.365 *    0 *    1 *    0 * 0.62 *  0.5 * 0.25 *    0 *
*        2 *        0 *  7 * 0.730 *    1 *    2 *    3 * 0.75 *    1 *  0.5 *    1 *
*        2 *        1 *  8 * 1.095 *    1 *    3 *    3 * 0.87 *    1 * 0.75 *    1 *
*        2 *        2 *  9 * 1.460 *    1 *    4 *    3 *    1 *    1 *    1 *    1 *
*************************************************************************************