annoviko / pyclustering

    for index_dyn in range(0, len(dynamic[0]), 1):

        if ((ignore is not None) and (index_dyn in ignore)):

            continue;

        time_stop_simulation = len(dynamic) - 1;

        active_state = False;

        if (dynamic[time_stop_simulation][index_dyn] > threshold):

            active_state = True;

    return number_oscillations;

def allocate_sync_ensembles(dynamic, tolerance = 0.1, threshold = 1.0, ignore = None):

    """!

    @brief Allocate clusters in line with ensembles of synchronous oscillators where each

           synchronous ensemble corresponds to only one cluster.

    @param[in] dynamic (dynamic): Dynamic of each oscillator.

    @param[in] tolerance (double): Maximum error for allocation of synchronous ensemble oscillators.

                else:

                    axes.plot(data[item][0], data[item][1], color = color, marker = marker_descr);

            elif (dimension == 3):

                if (data is None):

                    axes.scatter(item[0], item[1], item[2], c = color, marker = marker_descr);

                else:

                    axes.scatter(data[item][0], data[item][1], data[item][2], c = color, marker = marker_descr);

        color_index += 1;

        # Check for dimensions

        if ((dimension) == 1 or (dimension == 2)):

            axes = fig.add_subplot(111);

        elif (dimension == 3):

            axes = fig.gca(projection='3d');

        else:

            raise NameError('Drawer supports only 2d and 3d data representation');

    color_index = 0;

    for cluster in clusters:

        color = colors[color_index];

    """!

    @brief Draw canvas cluster descriptor.

    @param[in] ax (Axis): Axis of the canvas where canvas cluster descriptor should be displayed.

    @param[in] dimension (uint): Canvas dimension.

    @param[in] cluster_descr (canvas_cluster_descr): Canvas cluster descriptor that should be displayed.

    @return (fig) Figure where clusters are shown.

            ax.grid(visible_grid);

        if (display is True):

            plt.show();

        return cluster_figure;

    """!

    @brief Draw canvas cluster descriptor.