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## [Matplotlib-users] polar in CVS

 [Matplotlib-users] polar in CVS From: John Hunter - 2004-10-21 20:21:36 ```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() ```

 [Matplotlib-users] polar in CVS From: John Hunter - 2004-10-21 20:21:36 ```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() ```