At long last, I finally have a prototype version of polar plots / axes
/ transforms in CVS (mirrors may lag).
I don't use polar plots a lot in my own work, so those of you who do
should provide some feedback on the implementation, appearance and
functionality.
See examples/polar_demo.py (included below)
Here is a snapshot of the src distribution if you have CVS problems
http://nitace.bsd.uchicago.edu:8080/files/share/matplotlib-0.64.0a.tar.gz
In particular, I need some feedback on how setting axis limits should
work and what, if anything, the navigation controls are expected to
do. These issues are discussed a bit more in the polar_demo.py
example file.
Let me know....
JDH
#!/usr/bin/env python
···
#
# matplotlib now has a PolarAxes class and a polar function in the
# matplotlib interface. This is considered alpha and the interface
# may change as we work out how polar axes should best be integrated
#
# The only function that has been tested on polar axes is "plot" (the
# matlab interface function "polar" calls ax.plot where ax is a
# PolarAxes) -- other axes plotting functions may work on PolarAxes
# but haven't been tested and may need tweaking.
#
# you can get get a PolarSubplot instance by doing, for example
#
# subplot(211, polar=True)
#
# or a PolarAxes instance by doing
# axes([left, bottom, width, height], polar=True)
#
# The view limits (eg xlim and ylim) apply to the lower left and upper
# right of the rectangular box that surrounds to polar axes. Eg if
# you have
#
# r = arange(0,1,0.01)
# theta = 2*pi*r
#
# the lower left corner is 5/4pi, sqrt(2) and the
# upper right corner is 1/4pi, sqrt(2)
#
# you could change the radial bounding box (zoom out) by setting the
# ylim (radial coordinate is the second argument to the plot command,
# as in matlab, though this is not advised currently because it is not
# clear to me how the axes should behave in the change of view limits.
# Please advise me if you have opinions. Likewise, the pan/zoom
# controls probably do not do what you think they do and are better
# left alone on polar axes. Perhaps I will disable them for polar
# axes unless we come up with a meaningful, useful and functional
# implementation for them.
#
# Note that polar axes are sufficiently different that regular axes
# that I haven't stived for a consistent interface to the gridlines,
# labels, etc. To set the properties of the gridlines and labels,
# access the attributes directly from the polar axes, as in
#
# ax = gca()
# set(ax.rgridlines, color='r')
#
# The following attributes are defined
#
# thetagridlines : a list of Line2D for the theta grids
# rgridlines : a list of Line2D for the radial grids
# thetagridlabels : a list of Text for the theta grid labels
# rgridlabels : a list of Text for the theta grid labels
from matplotlib.matlab import *
r = arange(0,4,0.001)
theta = 6*pi*r
polar(theta, r)
title("It's about time!")
savefig('polar_demo')
ax = gca()
show()