pyclustering/cluster/clique.py
def __draw_two_dimension_data(ax, data, pair):
        """!
        @brief Display data in two-dimensional canvas.

        @param[in] ax (Axis): Canvas where data should be displayed.
        @param[in] data (list): Data points that should be displayed.
        @param[in] pair (tuple): Pair of dimension indexes.

        """
        ax.set_xlabel("x%d" % pair[0])
        ax.set_ylabel("x%d" % pair[1])

        for point in data:
            if len(data[0]) > 1:
                ax.plot(point[pair[0]], point[pair[1]], color='red', marker='.')
            else:
                ax.plot(point[pair[0]], 0, color='red', marker='.')
                ax.yaxis.set_ticklabels([])
def __draw_two_dimension_data(ax, data, pair):
        """!
        @brief Display data in two-dimensional canvas.

        @param[in] ax (Axis): Canvas where data should be displayed.
        @param[in] data (list): Data points that should be displayed.
        @param[in] pair (tuple): Pair of dimension indexes.

        """
        ax.set_xlabel("x%d" % pair[0])
        ax.set_ylabel("x%d" % pair[1])

        for point in data:
            if len(data[0]) > 1:
                ax.plot(point[pair[0]], point[pair[1]], color='red', marker='.')
            else:
                ax.plot(point[pair[0]], 0, color='red', marker='.')
                ax.yaxis.set_ticklabels([])
def __draw_two_dimension_data ( ax , data , pair ) : ax . set_xlabel ( "x%d" % pair [ 0 ] ) ax . set_ylabel ( "x%d" % pair [ 1 ] ) for point in data : if len ( data [ 0 ] ) > 1 : ax . plot ( point [ pair [ 0 ] ] , point [ pair [ 1 ] ] , color = 'red' , marker = '.' ) else : ax . plot ( point [ pair [ 0 ] ] , 0 , color = 'red' , marker = '.' ) ax . yaxis . set_ticklabels ( [ ] )
!
        @brief Display data in two-dimensional canvas.

        @param[in] ax (Axis): Canvas where data should be displayed.
        @param[in] data (list): Data points that should be displayed.
        @param[in] pair (tuple): Pair of dimension indexes.
!