I'm not able to see a difference between the two methods here: from pylab import * import numpy as np
r = np.arange(0, 3.0, 0.01) theta = 2*np.pi*r fig = figure() ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True) ax.plot(theta, r) show() polar(theta, r) show() Can you provide a standalone script that demonstrates the difference? What version of matplotlib are you using? Cheers, Mike plaf wrote: > Hi all, > > I have been trying both ways of plotting polar and found that they behave > differently? > Is it just me? > > I have sets of theta and R to plot, and when I plotted in console using > polar() it produces different plot (!) than when I used ax.plot() from my > application. I compared this with the plot produced in Matlab using the same > sets of data, and found that it looked closer to my plot produced using > polar(). > > I am confused :( > > Thank you > -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA ------------------------------------------------------------------------------ Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day trial. Simplify your report design, integration and deployment - and focus on what you do best, core application coding. Discover what's new with Crystal Reports now. http://p.sf.net/sfu/bobj-july _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
