在庞大的数据laggy Android的图形视图 [英] android graph view laggy on huge data

问题描述

我想通过 http://www.android-graphview.org/对蓝牙线程获取的数据。

I wanted to plot real time data via http://www.android-graphview.org/ for data acquired in a Bluetooth thread.

主题code：

                    InputStream tmpIn = mSocket.getInputStream();
                    while (true) {
                        try {
                            BufferedReader r = new BufferedReader(new InputStreamReader(tmpIn));
                            String line;
                            while ((line = r.readLine()) != null) {
                                final String tmp = line;
                                runOnUiThread(new Runnable() {
                                    @Override
                                    public void run() {
                                        addData(Integer.parseInt(tmp));
                                    }
                                });
                            }

                        } catch (IOException e) {
                            Log.e("BT",
                                    "BtConnectionThread run while loop: problem reading");
                            e.printStackTrace();
                            break;
                        }
                    }
                }

活动code：

public void addData(int data){
        series.appendData(new DataPoint(lastx,data),true,winSize);
        lastx++;
    }

这完美的作品，但随着时间的推移变得非常laggy。
该BT线程接收的数据为100Hz - 前几百个数据集之后的内存使用量是巨大的和图形开始滞后。是否有解决方法或替代ringbuffer实现？

This works perfectly, but gets extremely laggy over time. The BT thread receives data with 100Hz - after the first few hundred data sets the memory usage is immense and the graph begins to lag. Is there a workaround or an alternative ringbuffer implementation?

另外我想禁用x轴的传说，但couln't发现任何命令来归档此。

Additional i wanted to disable the x-axis legend, but couln't find any command to archive this.

问候，
卢卡斯

Regards, Lukas

推荐答案

首先第一件事情，你可以隐藏x轴的标签（前提是你想要做什么）通过铸造下面的方法：

First things first, you can hide the labels of the x-axis (provided that is what you want to do) by casting the following method :

your_graph.getGridLabelRenderer().setHorizontalLabelsVisible( false );

对于laggyness的一部分，我已经经历过它与一个大点的集合图。循环缓冲区的想法似乎是一个很好的，如果你不需要显示数据的整个历史。我将与配对

As for the laggyness part, I have experienced it too on graphs with a large set of points. The idea of a circular buffer seems to be a good one, if you do not need to visualize the whole history of your data. I would pair it with the

your_series.resetData( dataPoint[] my_data_points );

方法，以确保该图的现场更新。您的 addData 的功能将数据追加到循环缓冲区，这将传递给上面的方法来及时更新的图形。

method to ensure a live update of the graph. Your addData function would append data to the circular buffer, which you would pass to the method above to update the graph on a timely basis.

我担心这可能是非常耗费资源的，如果你想刷新图表以高速率和大量的点，但你至少你将能够控制这些两个参数。

I fear this can be quite resource-consuming if you want to refresh the graph at a high rate and with a large number of points, but you at least you would be able to control those two parameters.

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