Option to skip `plt.show()` so that plots can later be modified about livelossplot HOT 2 CLOSED

    def _default_after_subplot(self, ax: plt.Axes, group_name: str, x_label: str):
        """Add title xlabel and legend to single chart
        Args:
            ax: matplotlib Axes
            group_name: name of metrics group (eg. Accuracy, Recall)
            x_label: label of x axis (eg. epoch, iteration, batch)
        """
        ax.set_title(group_name)
        ax.set_xlabel(x_label)
        ax.legend(loc='center right')

    def _default_before_plots(self, fig: plt.Figure, num_of_log_groups: int) -> None:
        """Set matplotlib window properties
        Args:
            fig: matplotlib Figure
            num_of_log_groups: number of log groups
        """
        clear_output(wait=True)
        figsize_x = self.max_cols * self.cell_size[0]
        figsize_y = ((num_of_log_groups + 1) // self.max_cols + 1) * self.cell_size[1]
        fig.set_size_inches(figsize_x, figsize_y)

    def _default_after_plots(self, fig: plt.Figure):
        """Set properties after charts creation
        Args:
            fig: matplotlib Figure
        """
        fig.tight_layout()