importmatplotlib.pyplotaspltimportnumpyasnpfrommatplotlib.projectionsimportPolarAxesfrommatplotlib.transformsimportAffine2Dfrommpl_toolkits.axisartistimportGridHelperCurveLinear,HostAxesimportmpl_toolkits.axisartist.angle_helperasangle_helperdefcurvelinear_test2(fig):"""Polar projection, but in a rectangular box."""# see demo_curvelinear_grid.py for detailstr=Affine2D().scale(np.pi/180.,1.)+PolarAxes.PolarTransform()extreme_finder=angle_helper.ExtremeFinderCycle(20,20,lon_cycle=360,lat_cycle=None,lon_minmax=None,lat_minmax=(0,np.inf),)grid_locator1=angle_helper.LocatorDMS(12)tick_formatter1=angle_helper.FormatterDMS()grid_helper=GridHelperCurveLinear(tr,extreme_finder=extreme_finder,grid_locator1=grid_locator1,tick_formatter1=tick_formatter1)ax1=fig.add_subplot(axes_class=HostAxes,grid_helper=grid_helper)# Now creates floating axis# floating axis whose first coordinate (theta) is fixed at 60ax1.axis["lat"]=axis=ax1.new_floating_axis(0,60)axis.label.set_text(r"$\theta = 60^{\circ}$")axis.label.set_visible(True)# floating axis whose second coordinate (r) is fixed at 6ax1.axis["lon"]=axis=ax1.new_floating_axis(1,6)axis.label.set_text(r"$r = 6$")ax1.set_aspect(1.)ax1.set_xlim(-5,12)ax1.set_ylim(-5,10)ax1.grid(True)fig=plt.figure(figsize=(5,5))curvelinear_test2(fig)plt.show()

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