Hi,
I would like to be able to remove the dotted straight lines on the polar axes, but keep the dotted circular lines (not sure of the technical names, sorry). I also want to remove the degree measurement labels since they are not meaningful for the data that I am displaying.
How would I go about doing this?
Also, is there any reason why certain points would be behind (i.e. covered by) points that were plotted before them?
Thanks,
Miles
Miles Lubin wrote:
Hi,
I would like to be able to remove the dotted straight lines on the polar axes, but keep the dotted circular lines (not sure of the technical names, sorry). I also want to remove the degree measurement labels since they are not meaningful for the data that I am displaying.
How would I go about doing this?
polar(theta, r)
gca().set_thetagrids()
Also, is there any reason why certain points would be behind (i.e. covered by) points that were plotted before them?
If they are all the same kind of points--all markers, for example--then I would expect the rendering order to be the plot command order, because each plot command adds a line to a list of lines to be rendered. You can control the level using the zorder attribute.
lines = polar(theta, r, zorder=2.5)
or
lines = polar(theta, r, theta2, r2)
zo = lines[0].get_zorder()
lines[0].set_zorder(zo+0.1)
Eric
Thanks,
Miles
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Solved the problems, thanks.
Another issue has come up. After looking through http://matplotlib.sourceforge.net/matplotlib.axes.html#PolarAxes, I see a get_rmax() function, but there is no corresponding set_rmax(). Using set_ylim() causes hanging when it attempts to graph, and set_xlim is currently unimplemented. Is there a simple way to set rmax?
Thanks,
Miles
**
Eric Firing wrote:
polar(theta, r)
gca().set_thetagrids()If they are all the same kind of points--all markers, for example--then I would expect the rendering order to be the plot command order, because each plot command adds a line to a list of lines to be rendered. You can control the level using the zorder attribute.
lines = polar(theta, r, zorder=2.5)
or
lines = polar(theta, r, theta2, r2)
zo = lines[0].get_zorder()
lines[0].set_zorder(zo+0.1)Eric
Miles Lubin wrote:
Solved the problems, thanks.
Another issue has come up. After looking through http://matplotlib.sourceforge.net/matplotlib.axes.html#PolarAxes, I see a get_rmax() function, but there is no corresponding set_rmax(). Using set_ylim() causes hanging when it attempts to graph, and set_xlim is currently unimplemented. Is there a simple way to set rmax?
I don't think so--at least, I have not figured it out after a few minutes of looking around and trying to understand how things work. I think polar plotting needs quite a bit of work. In particular, I suspect the lack of a "set_rmax" method is not an oversight but a consequence of limitations in the present implementation. I will look at it some more and see if I can improve it. This might be long-term, not quick.
Eric
Thanks,
Miles
**
Eric Firing wrote:
polar(theta, r)
gca().set_thetagrids()If they are all the same kind of points--all markers, for example--then I would expect the rendering order to be the plot command order, because each plot command adds a line to a list of lines to be rendered. You can control the level using the zorder attribute.
lines = polar(theta, r, zorder=2.5)
or
lines = polar(theta, r, theta2, r2)
zo = lines[0].get_zorder()
lines[0].set_zorder(zo+0.1)Eric
Sorry for hijacking the thread, but a few months ago I suggested the
possibility to subclass Subplot. I have a small
function, 'add_generic_subplot', which just implements this possibility.
Would anybody be interested ? In that case, a Polarplot would just be a
particular subclass of Subplot. If there's some heavy cleaning to be done on
Polar, it might be worth to consider subclassing.
[I realize this was quite a useless post... Sorry again]
On Monday 25 December 2006 01:30, Eric Firing wrote:
I don't think so--at least, I have not figured it out after a few
minutes of looking around and trying to understand how things work. I
think polar plotting needs quite a bit of work.