Ynew = interpolate.splev(xnew, spline, der=0)Īx.get_xaxis().set_ticks()Īx.get_yaxis(). Here’s Python code to reconstruct the functions behind these two curves. Tips: When setting values or trying to get data points, for best accuracy use repeated. This particular one gives the logarithmic transmission factor between free field and the peripheral hearing system. This is helpful if you would like to get data to reproduce a curve plot. It contains many graphs with no data or formulas. It helps to have the same aspect ratio so you’re not distracted by something that doesn’t matter, and so that differences that do matter are easier to see.įor example, here is a graph from Zwicker and Fastl’s book on psychoacoustics. ScanIt contains a curve tracer, where entire curves can be digitized by selecting only a few points (2. Then as a sanity check, plot your reconstruction to see if it looks like the original. This task is also known as digitizing graph data. Select the Boundary-Limited Area Auto Trace Click. Once you have digitized the graph at a few points, you can fit a spline to the points to approximately reconstruct the function. Click the New Line Click the Area Auto Trace Click and drag a rectangle over some part of the blue curve. For example, Web Plot Digitizer is one you can use online. There are a lot of software packages to digitize images. Suppose you have a graph of a function, but you don’t have an equation for it or the data that produced it.
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