#GRAPH DIGITIZER GRAPHCLICK HOW TO#
#GRAPH DIGITIZER GRAPHCLICK CODE#

The other reason, of course, is that bitmap figures look ugly. The ability to do this is just one more reason to not submit figures as bitmaps. (4) Scale these arbitrary X, Y data to the correct coordinate scale, via careful measuring and/or comparison with outputs from the digitizers above.

#GRAPH DIGITIZER GRAPHCLICK CODE#

(3) Convert the postscript code into standard (X, Y) coordinates - I have a Python function to do this. I use InkScape, which lets me click-select the curve I want and see the underlying code directly (in “Edit” –> “XML Editor”), and then I copy-and-paste it. (2) Rip the desired PostScript code from the figure - this looks something like “m 5328.86,3663.79 -1.98,-1147.75…” - and save it into a text file. (1) Download the document source from the arXiv (select “Other formats,” then “Source”)

#GRAPH DIGITIZER GRAPHCLICK HOW TO#

I only know how to do this with PostScript figures, and here’s how: Most such tools tend to focus on extracting data from a digitized bitmap, but if you don’t want to lose information your best bet is to extract the vectorial data directly from the figure.

This is a fairly perverse case, as there are multiple overlapping curves but it took less than a half-hour, start to finish, including send the output text files to my collaborator.

I used the curve-finding algorithm to follow one of the curves the digitized points are shown by little red dots. Here’s an example from a recent paper (Mannucci et al.

Plus you can save the whole project, should you need to come back later and alter a fit. You can organize your digitized data into multiple datasets, which you can save as text files. I used to use Dexter, but now I’m in love with GraphClick ($8, shareware.) Just screengrab the plot, paste it into GraphClick, click a few key points on the x and y axes and type in coordinates, and then either choose your data by hand, or use one of GraphClick’s curve-finding algorithms to automatically identify data. package GraphClick (http: ///graphclick/). I could write the author and wait several days for them to dig up the plot file and send me the digitized version, but I want to compare now!” One solution is to digitize the published plot. The package digitize, that I present here, allows a user to load a graphical file of a. Here’s a common workflow: “I want to overplot a curve from the literature on my new plot.

Graph digitizer graphclick