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  2. Given its name, I think the standard way should be delete: import numpy as np. A = np.delete(A, 1, 0) # delete second row of A. B = np.delete(B, 2, 0) # delete third row of B. C = np.delete(C, 1, 1) # delete second column of C. According to numpy's documentation page, the parameters for numpy.delete are as follow:

  3. I think you want to extract a column from an array such as an array below. import numpy as np. A = np.array([[1,2,3,4],[5,6,7,8],[9,10,11,12]]) Now if you want to get the third column in the format. D=array[[3], [7], [11]] Then you need to first make the array a matrix.

  4. Creating, Concatenating, and Expanding Matrices

    www.mathworks.com/help/matlab/math/creating-and-concatenating-matrices.html

    Expanding a Matrix. You can add one or more elements to a matrix by placing them outside of the existing row and column index boundaries. MATLAB automatically pads the matrix with zeros to keep it rectangular. For example, create a 2-by-3 matrix and add an additional row and column to it by inserting an element in the (3,4) position.

  5. Array Indexing - MATLAB & Simulink - MathWorks

    www.mathworks.com/help/matlab/math/array-indexing.html

    While the following array is displayed as a 3-by-3 matrix, MATLAB stores it as a single column made up of the columns of A appended one after the other. The stored vector contains the sequence of elements 12 , 45 , 33 , 36 , 29 , 25 , 91 , 48 , 11 , and can be displayed using a single colon.

  6. readmatrix - Read matrix from file - MATLAB - MathWorks

    www.mathworks.com/help/matlab/ref/readmatrix.html

    Using the specified column range, the import function automatically detects the row extent by reading from the first nonempty row to the end of the data or the footer range. The number of columns in the specified range must match the number specified in the ExpectedNumVariables property.

  7. b = np.insert(a, 3, values=0, axis=1) # Insert values before column 3. An advantage of insert is that it also allows you to insert columns (or rows) at other places inside the array. Also instead of inserting a single value you can easily insert a whole vector, for instance duplicate the last column:

  8. Matrix Indexing in MATLAB - MATLAB & Simulink - MathWorks

    www.mathworks.com/company/technical-articles/matrix-indexing-in-matlab.html

    Most often, indexing in matrices is done using two subscripts—the first subscript for the rows and the second for the columns. The simplest form picks out a single element. A(2,4) % Extract the element in row 2, column 4. ans =. 8. More generally, one or both of subscripts can be vectors. A(2:4,1:2) ans =.

  9. Matrices and Arrays - MATLAB & Simulink - MathWorks

    www.mathworks.com/help/matlab/learn_matlab/matrices-and-arrays.html

    MATLAB is an abbreviation for "matrix laboratory." While other programming languages mostly work with numbers one at a time, MATLAB® is designed to operate primarily on whole matrices and arrays. All MATLAB variables are multidimensional arrays, no matter what type of data. A matrix is a two-dimensional array often used for linear algebra.

  10. column matrix representation in python - Stack Overflow

    stackoverflow.com/questions/15675667

    See matfunc.py for an example of how to develop a full matrix package in pure Python. The documentation for it is here . And here is a worked-out example of doing matrix multiplication in plain python using a list-of-lists representation:

  11. The only advantage to this method is that the "order" argument is a list of the fields to order the search by. For example, you can sort by the second column, then the third column, then the first column by supplying order= ['f1','f2','f0']. In my numpy 1.6.1rc1, it raises ValueError: new type not compatible with array.