问每次按下Matlab按钮更新图

EN

data =

      win: true    % Logical indicating whether it was a winning bet
     fund: 1000    % Amount of money in the fund
    count: 0       % The number of bets placed so far (optional)

function data = bet(initialFund, betPercentage)
    if ~exist('initialBet', 'var')
        initialFund = 1000;
    end

    if ~exist('betPercentage', 'var')
        betPercentage = 10;
    end

    % The data structure that we will use to keep track of the bets
    data = struct('win', NaN, 'fund', initialFund, 'count', 0);

    % Now create the figure and the plot that you want
    fig = figure();

    hax = axes(...
        'Parent', fig, ...
        'Units', 'normalized', ...
        'Position', [0.15 0.35 0.7 0.6]);

    % Plot to display current fund data
    plt = plot(NaN, NaN, 'Parent', hax);

    xlabel(hax, 'Bet', 'FontWeight', 'bold', 'FontSize', 18)
    ylabel(hax, 'Fund ($)', 'FontWeight', 'bold', 'FontSize', 18)

    set(hax, 'FontWeight', 'bold')

    % Create a button to place a winning and losing bet
    uicontrol(fig, ...
        'String', 'Place Winning Bet', ...
        'Units', 'normalized', ...
        'Position', [0.01 0.01 0.45 0.2], ...
        'Callback', @(s,e)place_bet(true, betPercentage/100));

    uicontrol(fig, ...
        'String', 'Place Losing Bet', ...
        'Units', 'normalized', ...
        'Position', [0.5 0.01 0.45 0.2], ...
        'Callback', @(s,e)place_bet(false, betPercentage/100));

    % Store the data within the handle
    setappdata(fig, 'BetData', data)

    % Plot the initial bet data
    refreshPlot(data);

    function place_bet(win_lose, percentage)
        % Determine whether we win or lose
        data = getappdata(fig, 'BetData');

        % Now add the new data
        lastbet = data(end);

        % Compute the new fund based on the bet amount
        newfund = (1 - ((-1)^win_lose) * percentage) * lastbet.fund;

        newdata = struct(...
            'win', win_lose, ...
            'fund', newfund, ...
            'count', lastbet.count + 1);

        data = cat(1, data, newdata);

        % Store the updated data
        setappdata(fig, 'BetData', data)

        % Now update the plot
        refreshPlot(data);
    end

    function refreshPlot(data)
        set(plt, 'XData', [data.count], 'YData', [data.fund])
        set(hax, 'XLim', [data(1).count, max(data(end).count, 10)])
    end
end