Transposing And Reshaping A Matrix Table Of Contents: arr.reshape(), arr.transpose(), arr.T (1) arr.reshape() Syntax: numpy.reshape(a, newshape, order=’C’) Parameters: a:array_like – Array to be reshaped. newshape: int or tuple of ints – The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions. order{‘C’, ‘F’, ‘A’}, optional –  Read the elements of a using this index order, and place the elements into the reshaped array using this index

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