An (ongoing) summary of my experience with some of the utilities available for plotting from a python perspective.
Last updated: 2008-03-06
- (+) Fast, powerful, mature, well-documented
- (-) Not python based
C-based rather than python-based but fast and powerful. There is a (fairly crude) set of python bindings available here: http://www.srcc.lsu.edu/~davids/ploticus_module.html. Alternatively one can just call the ploticus command from a python script.
- (+) Fairly powerful, mature, well-documented, nice pure python API
- (-) A little slow; requires a backend to be installed (so installation on a server is a problem)
- Could support object-orientation better
- (+) Pure python, quite simple to use, good documentation
- (-) Not quite as nice looking or as powerful as e.g. ploticus
- last updated: 2004-03-08
- looks fine but does not seem to be actively developed any longer
See: http://home.gna.org/pychart/examples/index.html. This is the bar/line example from there:
from pychart import * theme.get_options() data = [(10, 20, 30), (20, 65, 33), (30, 55, 30), (40, 45, 51), (50, 25, 27), (60, 75, 30)] ar = area.T(size = (150,120), y_grid_interval=10, x_axis=axis.X(label="X label", label_offset=(0,-7)), y_axis=axis.Y(label="Y label"), legend = legend.T(), y_range = (0, None)) ar.add_plot(bar_plot.T(label="foo", data=data), line_plot.T(label="bar", data=data, ycol=2)) ar.draw()