CoCalc -- moving_data

GitHub Repository: hackassin/Coursera-Machine-Learning
Path: blob/master/Week 2/Octave Tutorial/2. Moving Data Around/moving_data_around.txt
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octave:2> A = [ 1 2; 3 4; 5 6]
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A =
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4
   1   2
5
   3   4
6
   5   6
7

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octave:3> x = size(A);
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octave:4> x
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x =
11

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   3   2
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octave:5> size(x)
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ans =
16

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   1   2
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octave:6> size(A,1)
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ans =  3
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octave:7> size(A,2)
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ans =  2
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octave:8> pwd
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ans = C:\Users\amlan
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octave:9> cd 'C:\Users\amlan\Documents\Git Repos\Machine Learning\Coursera_ML_Andrew\Octave Tutorial\Moving Data Around'
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octave:10> ls
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 Volume in drive C has no label.
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 Volume Serial Number is FA5E-CC30
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 Directory of C:\Users\amlan\Documents\Git Repos\Machine Learning\Coursera_ML_Andrew\Octave Tutorial\Moving Data Around
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[.]  [..]
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               0 File(s)              0 bytes
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               2 Dir(s)  173,247,627,264 bytes free
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octave:11> ls
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 Volume in drive C has no label.
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 Volume Serial Number is FA5E-CC30
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 Directory of C:\Users\amlan\Documents\Git Repos\Machine Learning\Coursera_ML_Andrew\Octave Tutorial\Moving Data Around
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[.]             [..]            featuresX.dat   priceY.dat
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               2 File(s)            150 bytes
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               2 Dir(s)  173,247,623,168 bytes free
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octave:12> load featuresX.dat
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octave:13> load pri
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priceY.dat                   print                        print_struct_array_contents  printd                       prism
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primes                       print_empty_dimensions       print_usage                  printf
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octave:13> load priceY.dat
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octave:14> who
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Variables in the current scope:
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A          ans        featuresX  priceY     x
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octave:15> featuresX
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featuresX =
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   2103      2
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   2204      2
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   2205      2
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   3500      3
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   1450      1
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   2100      1
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   4000      3
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   4400      3
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   2800      2
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   5000      4
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   3400      2
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octave:16> size(featuresX)
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ans =
71

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   11    2
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octave:17> size(priceY)
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ans =
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   11    1
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octave:18> whos
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Variables in the current scope:
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   Attr Name           Size                     Bytes  Class
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   ==== ====           ====                     =====  =====
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        A              3x2                         48  double
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        ans            1x2                         16  double
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        featuresX     11x2                        176  double
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        priceY        11x1                         88  double
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        x              1x2                         16  double
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Total is 43 elements using 344 bytes
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octave:19> v = priceY(1:5)
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v =
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   2200
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   4400
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   2300
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   3000
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   4500
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octave:20> save hello.mat
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octave:21> save hello.mat v
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octave:22> save hello.txt v -ascii #saves in ascii format
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octave:23> A = [1 2; 3 4; 5 6]
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A =
106

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   1   2
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   3   4
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   5   6
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octave:24> % A 2
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octave:24> A (3,2)
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ans =  6
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octave:25> A(2,:)
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ans =
116

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   3   4
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octave:26> A(:,2)
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ans =
121

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   2
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   4
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   6
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octave:27> A ([1 3], :)
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ans =
128

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   1   2
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   5   6
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octave:28> A(:,2) = [10; 11; 12] #Assigning values to 2nd col
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A =
134

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    1   10
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    3   11
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    5   12
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octave:29> A(:) #put all elements of A into a single vector
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ans =
141

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    1
143
    3
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    5
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   10
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   11
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   12
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octave:30> B = [20 21; 22 23; 24 25]
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B =
151

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   20   21
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   22   23
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   24   25
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octave:31> C = [A B]
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C =
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    1   10   20   21
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    3   11   22   23
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    5   12   24   25
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octave:32> C = [A; B]
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C =
165

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    1   10
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    3   11
168
    5   12
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   20   21
170
   22   23
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   24   25
172
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