Hi, everyone. Let me explain what I wanted to do: First, I wanted to make a polar plot with angles from 0 to 90. I could do it by adopting the curvelinear grid demo ( http://goo.gl/kruXf ). And then I wanted to present the radius in log10 scale. But setting the plot command to semilogy or trying to set 'set_rscale('log')' all failed. Below I pasted the code that works for radius in linear scale.
[Code] #!/usr/bin/env python import matplotlib.pyplot as plt import numpy as np #Modified from http://matplotlib.sourceforge.net/plot_directive/mpl_toolkits/axes_grid/examples/demo_floating_axis.py #def curvelinear_test2(fig, lp_r, lp_t): def curvelinear_test2(fig, lp_t, lp_r, rLower, rUpper): rmin = np.min(lp_r) rmax = np.max(lp_r) print 'rm: ', rmin, 'rM: ', rmax,'rL: ', rLower, 'rU: ', rUpper """ polar projection, but in a rectangular box. """ global ax1 import mpl_toolkits.axisartist.angle_helper as angle_helper from matplotlib.projections import PolarAxes from matplotlib.transforms import Affine2D from mpl_toolkits.axisartist import SubplotHost, ParasiteAxesAuxTrans from mpl_toolkits.axisartist import GridHelperCurveLinear from mpl_toolkits.axisartist.grid_helper_curvelinear import GridHelperCurveLinear # see demo_curvelinear_grid.py for details tr = Affine2D().scale(np.pi/180., 1.) + PolarAxes.PolarTransform() extreme_finder = angle_helper.ExtremeFinderCycle(20, 20, lon_cycle = 360, lat_cycle = None, lon_minmax = (0, 360), lat_minmax = (-np.inf, np.inf), #lat_minmax = (rmin, 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 = SubplotHost(fig, 1, 1, 1, grid_helper=grid_helper) fig.add_subplot(ax1) # make ticklabels of all axis visible. ax1.axis[:].major_ticklabels.set_visible(True) #ax1.axis["top"].major_ticklabels.set_visible(True) #ax1.axis["left"].major_ticklabels.set_visible(True) #ax1.axis["bottom"].major_ticklabels.set_visible(True) # show angle (0) at right and top ax1.axis["right"].get_helper().nth_coord_ticks=0 ax1.axis["top"].get_helper().nth_coord_ticks=0 # show radius (1) at left and bottom ax1.axis["left"].get_helper().nth_coord_ticks=1 ax1.axis["bottom"].get_helper().nth_coord_ticks=1 # set labels ax1.axis["left"].label.set_text(r'ylabel') ax1.axis["bottom"].label.set_text(r'xlabel') ax1.axis["bottom"].major_ticklabels.set_rotation(-30) ax1.set_aspect(1.) ax1.set_xlim(rLower, rUpper) ax1.set_ylim(rLower, rUpper) #ax1.rscale('log') # A parasite axes with given transform ax2 = ParasiteAxesAuxTrans(ax1, tr, "equal") # note that ax2.transData == tr + ax1.transData # Anthing you draw in ax2 will match the ticks and grids of ax1. ax1.parasites.append(ax2) ax2.plot(lp_t, lp_r, 'o-') #ax2.semilogy(lp_t, lp_r, 'o-') #ax2.set_rscale('log') #ax1.set_xscale('log') #ax1.set_yscale('log') ax1.grid(True) if __name__ == "__main__": fig = plt.figure(1, figsize=(5, 5)) fig.clf() rmin = 1e-1 rmax = 1e2 lp_t = np.linspace(0., 90., 5) lp_r = np.linspace(rmin, rmax/10, 5)*5 print "lp_t: ", lp_t print "lp_r: ", lp_r print "log10(lp_r): ", np.log10(lp_r) curvelinear_test2(fig, lp_t, lp_r, rmin, rmax) #curvelinear_test2(fig, lp_t, np.log10(lp_r), np.log10(rmin), np.log(rmax)) plt.show() [/Code] I'm using Enthought Python Distribution Version: 7.0-2 (32-bit) Python 2.7.1 on win32 and matplotlib.__version__ is '1.0.1'. Thanks, Junghun Shin -- Division of Electrical, Electronic and Information Engineering, Graduate School of Engineering, Osaka University, 2-6 Yamada-oka, Suita-shi, Osaka, 565-0871, JAPAN Tel / Fax: +81-6-6879-8755 E-mail: jhs...@ef.eie.eng.osaka-u.ac.jp Group Homepage: http://www.eie.eng.osaka-u.ac.jp/ef/ ------------------------------------------------------------------------------ Benefiting from Server Virtualization: Beyond Initial Workload Consolidation -- Increasing the use of server virtualization is a top priority.Virtualization can reduce costs, simplify management, and improve application availability and disaster protection. Learn more about boosting the value of server virtualization. http://p.sf.net/sfu/vmware-sfdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
