Dear all,
I have
A={
[4.1583] [4.2132] [1.4600e+004] [100] [4.0339] [4.1117] [1.4948e+004] [100] [3.9389] [4.0431] [1.9352e+004] [100] [3.9676] [4.0655] [1.5374e+004] [100] [3.9313] [4.0153] [1.5853e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.8720] [3.9659] [1.7952e+004] [100] [3.8829] [4.0014] [1.7192e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.8681] [3.9610] [1.7790e+004] [100] [4.3944] [3.8585] [1.7593e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.8086] [3.8981] [1.4981e+004] [100] [3.7495] [3.8701] [1.5271e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.6838] [3.7952] [1.5973e+004] [100] [3.7344] [3.8012] [1.6384e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.7861] [3.8795] [1.7397e+004] [100] [3.7793] [3.8614] [1.8571e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.6177] [3.7094] [1.9622e+004] [100] [4.2028] [3.5645] [1.9093e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.6123] [3.6857] [1.5312e+004] [100] [3.5771] [3.6983] [1.5883e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.6439] [3.7417] [1.6312e+004] [100] [3.6003] [3.7064] [1.6997e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.7250] [3.8390] [1.7667e+004] [100] [3.7227] [3.8167] [1.8742e+004] [100] [ NaN] [ NaN] [ NaN] [NaN] [3.6667] [3.7456] [1.8926e+004] [100] [3.9350] [3.4062] [1.8028e+004] [ 95] }
IF I apply
out=inpaint_nans(cell2mat(A) ,2); I obtain 4.15830000000000 4.21320000000000 14600 1004.03390000000000 4.11170000000000 14948 1003.93890000000000 4.04310000000000 19352 1003.96760000000000 4.06550000000000 15374 1003.93130000000000 4.01530000000000 15853 1003.90165000000000 2263.50209333333 9042.12552333333 1003.87200000000000 3.96590000000000 17952 1003.88290000000000 4.00140000000000 17192 1003.87550000000000 2341.95677333333 9355.98919333333 1003.86810000000000 3.96100000000000 17790 1004.39440000000000 3.85850000000000 17593 1004.10150000000000 2181.42882666667 8713.85720666667 1003.80860000000000 3.89810000000000 14981 1003.74950000000000 3.87010000000000 15271 1003.71665000000000 2092.63518666667 8359.15879666667 1003.68380000000000 3.79520000000000 15973 1003.73440000000000 3.80120000000000 16384 1003.76025000000000 2261.78425333333 9035.69606333333 1003.78610000000000 3.87950000000000 17397 1003.77930000000000 3.86140000000000 18571 1003.69850000000000 2555.87181333333 10212.2179533333 1003.61770000000000 3.70940000000000 19622 1004.20280000000000 3.56450000000000 19093 1003.90755000000000 2303.30873333333 9202.07718333334 1003.61230000000000 3.68570000000000 15312 1003.57710000000000 3.69830000000000 15883 1003.61050000000000 2155.94680000000 8612.73670000000 1003.64390000000000 3.74170000000000 16312 1003.60030000000000 3.70640000000000 16997 1003.66265000000000 2320.58881333333 9271.14720333333 1003.72500000000000 3.83900000000000 17667 1003.72270000000000 3.81670000000000 18742 1003.69470000000000 2520.86853333333 10072.2171333333 1003.66670000000000 3.74560000000000 18926 1003.93500000000000 3.40620000000000 18028 95
If I apply
out3=[];for c = 1:size(A,2) out=inpaint_nans(cell2mat(A(:,c)),2);out3=[out3 out ]; end
I obtain
4.15830000000000 4.21320000000000 14600 1004.03390000000000 4.11170000000000 14948 1003.93890000000000 4.04310000000000 19352 1003.96760000000000 4.06550000000000 15374 1003.93130000000000 4.01530000000000 15853 1003.90165000000000 3.99060000000000 16902.5000000000 1003.87200000000000 3.96590000000000 17952 1003.88290000000000 4.00140000000000 17192 1003.87550000000000 3.98120000000000 17491 1003.86810000000000 3.96100000000000 17790 1004.39440000000000 3.85850000000000 17593 1004.10150000000000 3.87830000000000 16287 1003.80860000000000 3.89810000000000 14981 1003.74950000000000 3.87010000000000 15271 1003.71665000000000 3.83265000000000 15622 1003.68380000000000 3.79520000000000 15973 1003.73440000000000 3.80120000000000 16384 1003.76025000000000 3.84035000000000 16890.5000000000 1003.78610000000000 3.87950000000000 17397 1003.77930000000000 3.86140000000000 18571 1003.69850000000000 3.78540000000000 19096.5000000000 1003.61770000000000 3.70940000000000 19622 1004.20280000000000 3.56450000000000 19093 1003.90755000000000 3.62510000000000 17202.5000000000 1003.61230000000000 3.68570000000000 15312 1003.57710000000000 3.69830000000000 15883 1003.61050000000000 3.72000000000000 16097.5000000000 1003.64390000000000 3.74170000000000 16312 1003.60030000000000 3.70640000000000 16997 1003.66265000000000 3.77270000000000 17332 1003.72500000000000 3.83900000000000 17667 1003.72270000000000 3.81670000000000 18742 1003.69470000000000 3.78115000000000 18834 1003.66670000000000 3.74560000000000 18926 1003.93500000000000 3.40620000000000 18028 95
AS you can see between these two outputs the 2nd and 3rd row are different. But the code was the same. Any explanation?
thanks
Best Answer