conversion of yes no into logical array

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I have attached my dataset file "gridstability", I want to covert my last coulmn "stabf" into logical values 0 and 1. i want to know how to perform this operation.

Accepted Answer

Davide Masiello
Davide Masiello on 10 May 2022
Edited: Davide Masiello on 10 May 2022
clear,clc
T = readtable('gridstability.csv')
T = 10000×14 table
tau1 tau2 tau3 tau4 p1 p2 p3 p4 g1 g2 g3 g4 stab stabf _______ ______ _______ _______ ______ ________ ________ ________ _______ _______ _______ _______ __________ ____________ 2.9591 3.0799 8.381 9.7808 3.7631 -0.7826 -1.2574 -1.7231 0.65046 0.85958 0.88744 0.95803 0.055347 {'unstable'} 9.3041 4.9025 3.0475 1.3694 5.0678 -1.9401 -1.8727 -1.255 0.41344 0.86241 0.56214 0.78176 -0.0059575 {'stable' } 8.9717 8.8484 3.0465 1.2145 3.4052 -1.2075 -1.2772 -0.92049 0.16304 0.76669 0.83944 0.10985 0.0034709 {'unstable'} 0.71641 7.6696 4.4866 2.3406 3.9638 -1.0275 -1.9389 -0.99737 0.44621 0.97674 0.92938 0.36272 0.028871 {'unstable'} 3.1341 7.6088 4.9438 9.8576 3.5258 -1.1255 -1.846 -0.55431 0.79711 0.45545 0.65695 0.82092 0.04986 {'unstable'} 6.9992 9.1092 3.7841 4.2678 4.4297 -1.8571 -0.6704 -1.9021 0.26179 0.07793 0.54288 0.46993 -0.017385 {'stable' } 6.7102 3.7652 6.9293 8.8186 2.3974 -0.61459 -1.2088 -0.574 0.17789 0.39798 0.40205 0.37663 0.0059536 {'unstable'} 6.9535 1.3791 5.7194 7.8703 3.2245 -0.749 -1.1865 -1.289 0.37138 0.6332 0.73274 0.38054 0.016634 {'unstable'} 4.6899 4.0077 1.4786 3.7338 4.0413 -1.4103 -1.2382 -1.3928 0.26971 0.25036 0.16494 0.48244 -0.038677 {'stable' } 9.8415 1.4138 9.7699 7.6416 4.7276 -1.9914 -0.85764 -1.8786 0.37636 0.54442 0.79204 0.11626 0.012383 {'unstable'} 5.9301 6.7309 6.2451 0.53329 2.3271 -0.7025 -1.1169 -0.50767 0.23982 0.56311 0.16446 0.7537 -0.028411 {'stable' } 5.3813 8.0145 8.0952 6.7692 5.5076 -1.9727 -1.8493 -1.6855 0.35997 0.17357 0.34914 0.62886 0.02813 {'unstable'} 1.6168 2.9392 0.81979 4.1918 3.7523 -1.4849 -1.2806 -0.98682 0.8997 0.86655 0.30392 0.07761 -0.048617 {'stable' } 8.5516 8.315 2.55 9.9268 4.8917 -1.8086 -1.1671 -1.916 0.6124 0.28098 0.35434 0.47219 0.027756 {'unstable'} 1.1321 2.9203 8.9511 7.2486 5.0337 -1.8461 -1.3628 -1.8248 0.35229 0.52417 0.599 0.67439 0.01488 {'unstable'} 7.0214 4.3743 4.7759 8.8384 3.3359 -0.96239 -1.4076 -0.96584 0.7111 0.62536 0.46833 0.89514 0.072508 {'unstable'}
If you are ok with T.stabf being populated by true/false values, you can use.
T.stabf = strcmp(T.stabf,{'stable'});
T
T = 10000×14 table
tau1 tau2 tau3 tau4 p1 p2 p3 p4 g1 g2 g3 g4 stab stabf _______ ______ _______ _______ ______ ________ ________ ________ _______ _______ _______ _______ __________ _____ 2.9591 3.0799 8.381 9.7808 3.7631 -0.7826 -1.2574 -1.7231 0.65046 0.85958 0.88744 0.95803 0.055347 false 9.3041 4.9025 3.0475 1.3694 5.0678 -1.9401 -1.8727 -1.255 0.41344 0.86241 0.56214 0.78176 -0.0059575 true 8.9717 8.8484 3.0465 1.2145 3.4052 -1.2075 -1.2772 -0.92049 0.16304 0.76669 0.83944 0.10985 0.0034709 false 0.71641 7.6696 4.4866 2.3406 3.9638 -1.0275 -1.9389 -0.99737 0.44621 0.97674 0.92938 0.36272 0.028871 false 3.1341 7.6088 4.9438 9.8576 3.5258 -1.1255 -1.846 -0.55431 0.79711 0.45545 0.65695 0.82092 0.04986 false 6.9992 9.1092 3.7841 4.2678 4.4297 -1.8571 -0.6704 -1.9021 0.26179 0.07793 0.54288 0.46993 -0.017385 true 6.7102 3.7652 6.9293 8.8186 2.3974 -0.61459 -1.2088 -0.574 0.17789 0.39798 0.40205 0.37663 0.0059536 false 6.9535 1.3791 5.7194 7.8703 3.2245 -0.749 -1.1865 -1.289 0.37138 0.6332 0.73274 0.38054 0.016634 false 4.6899 4.0077 1.4786 3.7338 4.0413 -1.4103 -1.2382 -1.3928 0.26971 0.25036 0.16494 0.48244 -0.038677 true 9.8415 1.4138 9.7699 7.6416 4.7276 -1.9914 -0.85764 -1.8786 0.37636 0.54442 0.79204 0.11626 0.012383 false 5.9301 6.7309 6.2451 0.53329 2.3271 -0.7025 -1.1169 -0.50767 0.23982 0.56311 0.16446 0.7537 -0.028411 true 5.3813 8.0145 8.0952 6.7692 5.5076 -1.9727 -1.8493 -1.6855 0.35997 0.17357 0.34914 0.62886 0.02813 false 1.6168 2.9392 0.81979 4.1918 3.7523 -1.4849 -1.2806 -0.98682 0.8997 0.86655 0.30392 0.07761 -0.048617 true 8.5516 8.315 2.55 9.9268 4.8917 -1.8086 -1.1671 -1.916 0.6124 0.28098 0.35434 0.47219 0.027756 false 1.1321 2.9203 8.9511 7.2486 5.0337 -1.8461 -1.3628 -1.8248 0.35229 0.52417 0.599 0.67439 0.01488 false 7.0214 4.3743 4.7759 8.8384 3.3359 -0.96239 -1.4076 -0.96584 0.7111 0.62536 0.46833 0.89514 0.072508 false
However, if you want 0s and 1s strictly, you can use
clear,clc
T = readtable('gridstability.csv')
T = 10000×14 table
tau1 tau2 tau3 tau4 p1 p2 p3 p4 g1 g2 g3 g4 stab stabf _______ ______ _______ _______ ______ ________ ________ ________ _______ _______ _______ _______ __________ ____________ 2.9591 3.0799 8.381 9.7808 3.7631 -0.7826 -1.2574 -1.7231 0.65046 0.85958 0.88744 0.95803 0.055347 {'unstable'} 9.3041 4.9025 3.0475 1.3694 5.0678 -1.9401 -1.8727 -1.255 0.41344 0.86241 0.56214 0.78176 -0.0059575 {'stable' } 8.9717 8.8484 3.0465 1.2145 3.4052 -1.2075 -1.2772 -0.92049 0.16304 0.76669 0.83944 0.10985 0.0034709 {'unstable'} 0.71641 7.6696 4.4866 2.3406 3.9638 -1.0275 -1.9389 -0.99737 0.44621 0.97674 0.92938 0.36272 0.028871 {'unstable'} 3.1341 7.6088 4.9438 9.8576 3.5258 -1.1255 -1.846 -0.55431 0.79711 0.45545 0.65695 0.82092 0.04986 {'unstable'} 6.9992 9.1092 3.7841 4.2678 4.4297 -1.8571 -0.6704 -1.9021 0.26179 0.07793 0.54288 0.46993 -0.017385 {'stable' } 6.7102 3.7652 6.9293 8.8186 2.3974 -0.61459 -1.2088 -0.574 0.17789 0.39798 0.40205 0.37663 0.0059536 {'unstable'} 6.9535 1.3791 5.7194 7.8703 3.2245 -0.749 -1.1865 -1.289 0.37138 0.6332 0.73274 0.38054 0.016634 {'unstable'} 4.6899 4.0077 1.4786 3.7338 4.0413 -1.4103 -1.2382 -1.3928 0.26971 0.25036 0.16494 0.48244 -0.038677 {'stable' } 9.8415 1.4138 9.7699 7.6416 4.7276 -1.9914 -0.85764 -1.8786 0.37636 0.54442 0.79204 0.11626 0.012383 {'unstable'} 5.9301 6.7309 6.2451 0.53329 2.3271 -0.7025 -1.1169 -0.50767 0.23982 0.56311 0.16446 0.7537 -0.028411 {'stable' } 5.3813 8.0145 8.0952 6.7692 5.5076 -1.9727 -1.8493 -1.6855 0.35997 0.17357 0.34914 0.62886 0.02813 {'unstable'} 1.6168 2.9392 0.81979 4.1918 3.7523 -1.4849 -1.2806 -0.98682 0.8997 0.86655 0.30392 0.07761 -0.048617 {'stable' } 8.5516 8.315 2.55 9.9268 4.8917 -1.8086 -1.1671 -1.916 0.6124 0.28098 0.35434 0.47219 0.027756 {'unstable'} 1.1321 2.9203 8.9511 7.2486 5.0337 -1.8461 -1.3628 -1.8248 0.35229 0.52417 0.599 0.67439 0.01488 {'unstable'} 7.0214 4.3743 4.7759 8.8384 3.3359 -0.96239 -1.4076 -0.96584 0.7111 0.62536 0.46833 0.89514 0.072508 {'unstable'}
T.stabf = double(strcmp(T.stabf,{'stable'}));
T
T = 10000×14 table
tau1 tau2 tau3 tau4 p1 p2 p3 p4 g1 g2 g3 g4 stab stabf _______ ______ _______ _______ ______ ________ ________ ________ _______ _______ _______ _______ __________ _____ 2.9591 3.0799 8.381 9.7808 3.7631 -0.7826 -1.2574 -1.7231 0.65046 0.85958 0.88744 0.95803 0.055347 0 9.3041 4.9025 3.0475 1.3694 5.0678 -1.9401 -1.8727 -1.255 0.41344 0.86241 0.56214 0.78176 -0.0059575 1 8.9717 8.8484 3.0465 1.2145 3.4052 -1.2075 -1.2772 -0.92049 0.16304 0.76669 0.83944 0.10985 0.0034709 0 0.71641 7.6696 4.4866 2.3406 3.9638 -1.0275 -1.9389 -0.99737 0.44621 0.97674 0.92938 0.36272 0.028871 0 3.1341 7.6088 4.9438 9.8576 3.5258 -1.1255 -1.846 -0.55431 0.79711 0.45545 0.65695 0.82092 0.04986 0 6.9992 9.1092 3.7841 4.2678 4.4297 -1.8571 -0.6704 -1.9021 0.26179 0.07793 0.54288 0.46993 -0.017385 1 6.7102 3.7652 6.9293 8.8186 2.3974 -0.61459 -1.2088 -0.574 0.17789 0.39798 0.40205 0.37663 0.0059536 0 6.9535 1.3791 5.7194 7.8703 3.2245 -0.749 -1.1865 -1.289 0.37138 0.6332 0.73274 0.38054 0.016634 0 4.6899 4.0077 1.4786 3.7338 4.0413 -1.4103 -1.2382 -1.3928 0.26971 0.25036 0.16494 0.48244 -0.038677 1 9.8415 1.4138 9.7699 7.6416 4.7276 -1.9914 -0.85764 -1.8786 0.37636 0.54442 0.79204 0.11626 0.012383 0 5.9301 6.7309 6.2451 0.53329 2.3271 -0.7025 -1.1169 -0.50767 0.23982 0.56311 0.16446 0.7537 -0.028411 1 5.3813 8.0145 8.0952 6.7692 5.5076 -1.9727 -1.8493 -1.6855 0.35997 0.17357 0.34914 0.62886 0.02813 0 1.6168 2.9392 0.81979 4.1918 3.7523 -1.4849 -1.2806 -0.98682 0.8997 0.86655 0.30392 0.07761 -0.048617 1 8.5516 8.315 2.55 9.9268 4.8917 -1.8086 -1.1671 -1.916 0.6124 0.28098 0.35434 0.47219 0.027756 0 1.1321 2.9203 8.9511 7.2486 5.0337 -1.8461 -1.3628 -1.8248 0.35229 0.52417 0.599 0.67439 0.01488 0 7.0214 4.3743 4.7759 8.8384 3.3359 -0.96239 -1.4076 -0.96584 0.7111 0.62536 0.46833 0.89514 0.072508 0
The code above outputs a logical 1 (true) if the row is 'stable' and a logical 0 (false) is the row is 'unstable'.
For the opposite result, just insert a ~ before the strcmp command.
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