PlotDroppy Code
Status: Alpha
Brought to you by:
bagrowjp
File | Date | Author | Commit |
---|---|---|---|
INSTALL | 2006-08-15 | bagrowjp | [r1] New import |
README | 2006-08-15 | bagrowjp | [r1] New import |
gpl.txt | 2006-08-15 | bagrowjp | [r1] New import |
plotdrop.py | 2006-08-15 | bagrowjp | [r1] New import |
plotdroppy.txt | 2006-08-15 | bagrowjp | [r1] New import |
Plotdroppy - quick plots on Mac OS X http://plotdroppy.sourceforge.net Installation ------------ See the included INSTALL document About ----- Plotdroppy (or Plotdrop.py, pronounced "plot-droppy") is a very simple Mac OS X "droplet" for quick data visualization. Drag-and-drop one or more text files containing series data and a simple scatter plot is generated containing each series with different symbols, legend, etc. GUI-less Mac alternative to PlotDrop. Plotdroppy can also be used from the command-line, including under non-mac systems, though those users are strongly encouraged to use the original PlotDrop Requirements ------------ Plotdroppy requires Mac OS X (other *nix users can use it from the command line) and Pylab, a free Python plotting module. Fink may be the easiest way to get pylab, as well as a newer version of Python. Plotdroppy does not require a GUI backend for pylab, so if you are unable to import pylab because of the backend, you can set it to one of the non-GUI backends, such as Agg. See Matplotlib Backends for more. Usage ----- In OS X, simply select the data files, drop them onto the droplet, and wait for the image to appear. Plotdroppy can also be invoked from the command-line, and will still open the image automatically (mac only). To use: $: plotdrop.py file1.txt file2.txt file3.txt will output a plot of those three files. If you tend to store related data in separate directories, this is especially convenient: $: plotdrop.py output_directory/* Contact ------- Problems, bugs, suggestions? Email me, Jim Bagrow, bagrowjp [at] clarkson [dot] edu