How do we eliminated (empty or zeros) Columns or Rows from tables in Matlab

Dear all

i have read tables using matlab, in my dataset some existed rows and columns are fully empty or contain zero's values, how do we can eliminated these columns or rows from tables , thanks for any suggestion

Answer 1

[dpb]

To eliminate columns fully containing NaN in table t, use

t(:,all(ismissing(t)))=[];

Similar logic for zero values; be careful what you eliminate looks like you could get down to having very little left, perhaps...

[ahmed obaid]

thanks a lot

Answer 2

[Peter Perkins]

Also beginning in R2016b, use rmmissing:

>> t = array2table(randn(5));
>> t{3,:} = NaN;
>> t.Var3(:) = NaN
t =
      Var1        Var2      Var3      Var4        Var5   
    ________    ________    ____    ________    _________
    -0.45706      1.0022    NaN     -0.84257      0.72003
    0.089446     0.92481    NaN      0.37592     -0.99347
         NaN         NaN    NaN          NaN          NaN
     0.18133    -0.64009    NaN      0.82489     -0.27627
    -0.59695    -0.44802    NaN     -0.21385    -0.072641
>> t = rmmissing(t,1,'MinNumMissing',5)
t =
      Var1        Var2      Var3      Var4        Var5   
    ________    ________    ____    ________    _________
    -0.45706      1.0022    NaN     -0.84257      0.72003
    0.089446     0.92481    NaN      0.37592     -0.99347
     0.18133    -0.64009    NaN      0.82489     -0.27627
    -0.59695    -0.44802    NaN     -0.21385    -0.072641
>> t = rmmissing(t,2,'MinNumMissing',4)
t =
      Var1        Var2        Var4        Var5   
    ________    ________    ________    _________
    -0.45706      1.0022    -0.84257      0.72003
    0.089446     0.92481     0.37592     -0.99347
     0.18133    -0.64009     0.82489     -0.27627
    -0.59695    -0.44802    -0.21385    -0.072641

I don't see any row or variable in your example table that is all zeros. If you want to remove such rows, you might use standardizeMissing before calling rmmissing, or you might call ismissing with 0 specified as the misisng data indicator.

[KAE]

Wouldn't have know about this, so thanks. To remove empty columns which have no entries,

t = rmmissing(t,2);

[Mehdi Ansarey]

bravo, adding dimension is talented to remove null column