Method coeffsTransfer

SLiCAP/SLiCAPlatex.py:662–718

Creates a tablestable that displays the numerator and denominator coefficients of a rational expression. If no label AND no caption are given this method returns a LaTeX tabular snippet. Else it returns a table snippet. :param stepVars: List with s

(self, transferCoeffs, label="", caption="", 
                       color="myyellow")

        return Snippet(TEX, self.format)

    def coeffsTransfer(self, transferCoeffs, label="", caption="", 
                       color="myyellow"):
        """
        Creates a tablestable that displays the numerator and denominator 
        coefficients of a rational expression. 
        If no label AND no caption are given this method returns a LaTeX
        tabular snippet. Else it returns a table snippet.
        
        :param stepVars: List with step variables (*str, sympy.Symbol*).
        :type stepVars: list
        
        :param stepArray: List with lists with step values for each step variable
        :type stepArray: List
        
        :param label: Reference label for the table. Defaults to an empty string.
        :type label: str
        
        :param caption: Table caption.
        :type caption: str
        
        :param color: Alternate row color name, should be defined in 
                     'preambuleSLiCAP.tex' defaults to 'myyellow'. Use None for
                     no background color.
        :type color: str
        
        :return: SLiCAP Snippet object
        :rtype: SLiCAP.SLiCAPprotos.Snippet
        
        :example:
            
        >>> import SLiCAP as sl
        >>> import sympy as sp
        >>>
        >>> ltx  = sl.LaTeXformatter()
        >>> expr = sp.sympify("A_0*(1+s*b_1)/(((1+s*a_1))*((1+s*a_2)))")
        >>> tr_coeffs = sl.coeffsTransfer(expr)
        >>> ltx.coeffsTransfer(tr_coeffs, 
                               label="tab-coeffs",
                               caption = "numerator and denominator " +
                               "coefficients").save("coeffs")
        """
        (gain, numerCoeffs, denomCoeffs) = transferCoeffs
        num, den = gain.as_numer_denom()
        for i in range(len(numerCoeffs)):
            numerCoeffs[i] *= num
        for i in range(len(denomCoeffs)):
            denomCoeffs[i] *= den
        alignstring = '[c]{ll}'
        headerList = ['Coeff', 'Value']
        linesList = []
        for i in range(len(numerCoeffs)):
            linesList.append([sp.sympify('b_' + str(i)), numerCoeffs[i]])
        for i in range(len(denomCoeffs)):
            linesList.append([sp.sympify('a_' + str(i)), denomCoeffs[i]])
        TEX = _TEXcreateCSVtable(headerList, linesList, alignstring, 
                                 label=label, caption=caption, color=color)
        return Snippet(TEX, self.format)