butools.dmap.ImageFromDMMAP¶

butools.dmap.ImageFromDMMAP()¶

Matlab:	ImageFromDMMAP(D, outFileName, prec)
Mathematica:	ImageFromDMMAP[D, outFileName, prec]
Python/Numpy:	ImageFromDMMAP(D, outFileName, prec)

Depicts the given discrete marked Markovian arrival process, and either displays it or saves it to file.

Parameters:

D : list of matrices of shape(M,M), length(N) The D0...DN matrices of the DMMAP outFileName : string, optional If it is not provided, or equals to ‘display’, the image is displayed on the screen, otherwise it is written to the file. The file format is deduced from the file name. prec : double, optional Transition probabilities less then prec are considered to be zero and are left out from the image. The default value is 1e-13.

Notes

The ‘graphviz’ software must be installed and available in the path to use this feature.

Examples

For Matlab:

>>> D0=[0.34 0 0; 0.06 0.05 0.03; 0.11 0.13 0]
>>> D1=[0.3 0 0; 0.16 0.18 0.05; 0.15 0.04 0.09]
>>> D2=[0 0.01 0; 0.1 0.07 0.08; 0.13 0.12 0.13]
>>> D3=[0.35 0 0; 0 0.18 0.04; 0.06 0.03 0.01]
>>> D = {D0,D1,D2,D3};
>>> ImageFromDMMAP(D,'figure.pdf');
>>> ImageFromDMMAP(D);

For Python/Numpy:

>>> D0=ml.matrix([[0.34, 0, 0],[0.06, 0.05, 0.03],[0.11, 0.13, 0]])
>>> D1=ml.matrix([[0.3, 0, 0],[0.16, 0.18, 0.05],[0.15, 0.04, 0.09]])
>>> D2=ml.matrix([[0, 0.01, 0],[0.1, 0.07, 0.08],[0.13, 0.12, 0.13]])
>>> D3=ml.matrix([[0.35, 0, 0],[0, 0.18, 0.04],[0.06, 0.03, 0.01]])
>>> D = (D0,D1,D2,D3)
>>> ImageFromDMMAP(D,'figure.pdf')
>>> ImageFromDMMAP(D)