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433

answers:

4

I am thinking of using wxMathPlot for plotting/graphing some data that arrives continuously. I want to draw "Real-time" plot/graph using it. Is that possible?

I.E. I don't want just a static graph of a one-time read of a file - I want the streaming data plotted and continued out to the right of the graph - (and let the left side fall off/scroll out of view)

EDIT

I still have not gotten an answer for this. There is an interesting class in the wxmathPlot library called mpFXYVector but that appears just to draw one plot from a vector of data. What I want is something that can be fed a stream and scroll the graph horizontally (and also resize the scale if needed)

+1  A: 

I do not have any personal experience with wxMathPlot, but I have been working with wxWidgets for years and highly recommend it for cross platform gui programming in c++, with that said according to the wxWiki graphics page the Numerix Graphics Library can be used for real time data so maybe that can help you out. Good luck.

snctln
+1  A: 

I think mpFXYVector is the way to go.

The simplest way to deal with this might be to write a wrapper class for mpFXYVector which holds a FIFO buffer of recent data points. Each time a new datapoint arrives, add it to the FIFO buffer, which will drop the oldest point, then load mpFXYVector with the updated buffer. The wxMathPlot class mpWindow will look after the rest of what you need.

A more elegant approach would be a specialization of mpFXYVector which implements the FIFO buffer, using the simple vectors in mpFXYVector. The advantage of this would be that you are holding just one copy of the display data. Unless you are displaying many thousands of points, I doubt the advantage is worth the extra trouble of inheriting from mpFXYVector, rather than simply using the mpFXYVector documented interface.

After looking at the details, the only tricky bit is to replace mpFXYVector::SetData() with a new method Add() to add data points as they arrive. The new method needs to manage the mpFXYVector vectors as FIFO buffers, and to re-implement the code to update the bounding box ( which unfortunately was not written with inheritance in mind ).

The result is that specialization gives a solution with a smaller memory requirement and more flexibility than using a wrapper.

ravenspoint
Thanks James - this is a big help.
Tim
A: 

Thanks ravenspoint...!! I did what you said.. It works flawless! here is my AddData() function:

void mpFXYVector::AddData(float x, float y, std::vector<double> &xs, std::vector<double> &ys)
    {
        // Check if the data vectora are of the same size
        if (xs.size() != ys.size()) {
            wxLogError(_("wxMathPlot error: X and Y vector are not of the same length!"));
            return;
        }

        //Delete first point if you need a filo buffer (i dont need it)
        //xs.erase(xs.begin());
        //xy.erase(xy.begin());

        //Add new Data points at the end
        xs.push_back(x);
        ys.push_back(y);


        // Copy the data:
        m_xs = xs;
        m_ys = ys;

        // Update internal variables for the bounding box.
        if (xs.size()>0)
        {
            m_minX  = xs[0];
            m_maxX  = xs[0];
            m_minY  = ys[0];
            m_maxY  = ys[0];

            std::vector<double>::const_iterator  it;

            for (it=xs.begin();it!=xs.end();it++)
            {
                if (*it<m_minX) m_minX=*it;
                if (*it>m_maxX) m_maxX=*it;
            }
            for (it=ys.begin();it!=ys.end();it++)
            {
                if (*it<m_minY) m_minY=*it;
                if (*it>m_maxY) m_maxY=*it;
            }
            m_minX-=0.5f;
            m_minY-=0.5f;
            m_maxX+=0.5f;
            m_maxY+=0.5f;
        }
        else
        {
            m_minX  = -1;
            m_maxX  = 1;
            m_minY  = -1;
            m_maxY  = 1;
        }
    }

in the Main() you only have to:

m_Vector->AddData(xPos,yPos,vectorX, vectorY);
m_plot->Fit();
jayjo
A: 

We ended up using ChartDirector instead. It has a lot of capability and is fast.

Tim