The element pl-matrix-latex can be used to display 2D numpy arrays and scalars.
Display a 2D array of floats with 2 significant figures, by setting
presentation-type="sigfig" and digits="2"
${\bf A} = \begin{bmatrix} -0.56 & 0.43 & -0.71\\ -0.69 & -0.72 & 0.10\\ -0.46 & 0.55 & 0.70\\\end{bmatrix}$
Display a 1D array a = np.array(3). To use this element, we first need to wrap the
1D array as a 2D array. For example, we use
b = a.reshape((1, M)) to display
as a row-vector or c = a.reshape((M, 1)) to display as a column vector:
${\bf b} = \begin{bmatrix} 0.41 & 0.97 & 0.32\\\end{bmatrix}$
${\bf c} = \begin{bmatrix} 0.4143\\ 0.9748\\ 0.3211\\\end{bmatrix}$
To display b we use digits="2" presentation-type="f"
and to display c we use digits="4".
We can write systems of linear equations ${\bf A}^T{\bf x} = {\bf c}$
as such:
$$ \begin{bmatrix} -0.557 & 0.430 & -0.711\\ -0.688 & -0.718 & 0.105\\ -0.465 & 0.547 & 0.696\\\end{bmatrix}^T
\begin{bmatrix} x \\ y \\ z \end{bmatrix}
\begin{bmatrix} 0.4143\\ 0.9748\\ 0.3211\\\end{bmatrix}$$
When the element pl-matrix-latex is used to display a scalar,
it results in printing the scalar as a string, without any brackets around it.
$x = 2.1$