Thank You Scott, I mistook the values I assumed .1 to .8 as the total x size and expected half of it should provide me 2 half boxes. thanks a lot for clarification. with best regards, Sudheer *************************************************************** Sudheer Joseph Indian National Centre for Ocean Information Services Ministry of Earth Sciences, Govt. of India POST BOX NO: 21, IDA Jeedeemetla P.O. Via Pragathi Nagar,Kukatpally, Hyderabad; Pin:5000 55 Tel:+91-40-23886047(O),Fax:+91-40-23895011(O), Tel:+91-40-23044600(R),Tel:+91-40-9440832534(Mobile) E-mail:sjo.in...@gmail.com;sudheer.jos...@yahoo.com Web- http://oppamthadathil.tripod.com ***************************************************************
----- Original Message ----- > From: Scott Sinclair <scott.sinclair...@gmail.com> > To: "matplotlib-users@lists.sourceforge.net" > <matplotlib-users@lists.sourceforge.net> > Cc: > Sent: Friday, 5 April 2013 6:36 PM > Subject: Re: [Matplotlib-users] windrose > > On 5 April 2013 03:54, Sudheer Joseph <sudheer.jos...@yahoo.com> wrote: >> Some how I am not getting the trick of the >> rect = [0.1, 0.1, 0.8, 0.8] >> >> I tried >> rect1= [0.1,0.1,.4,.4] >> and rect2=[.4,.4,.8,.8] >> but did not work > > You don't say exactly what you did, and how it didn't work... > > If you read > http://matplotlib.org/api/figure_api.html?highlight=add_axes#matplotlib.figure.Figure.add_axes > it says "Add an axes at position rect [left, bottom, width, > height]...". So you need to specify sensible values in rect1 and > rect2. > > The following works fine for me: > > import matplotlib.pyplot as plt > fig = plt.figure() > rect1 = [0.1, 0.1, 0.4, 0.4] > rect2 = [0.55, 0.1, 0.4, 0.4] > ax1 = fig.add_axes(rect1) > ax2 = fig.add_axes(rect2) > ax1.plot(range(3)) > ax2.plot(range(4, 8)) > plt.show() > > So I would expect that you can adapt your original code to something > like the following (untested): > > from windrose import WindroseAxes > from matplotlib import pyplot as plt > from numpy.random import random > > def new_axes(fig, rect): > ax = WindroseAxes(fig, rect, axisbg='w') > fig.add_axes(ax) > return ax > > def set_legend(ax): > l = ax.legend(axespad=-0.10) > plt.setp(l.get_texts(), fontsize=8) > > #Create wind speed and direction variables > ws = random(500)*6 > wd = random(500)*360 > ws1 = random(500)*6 > wd1 = random(500)*360 > > rect1 = [0.1, 0.1, 0.4, 0.4] > rect2 = [0.55, 0.1, 0.4, 0.4] > > fig = plt.figure(figsize=(8, 8), dpi=80, facecolor='w', > edgecolor='w') > > ax1 = new_axes(fig, rect1) > ax2 = new_axes(fig, rect2) > > #windrose like a stacked histogram with normed (displayed in percent) results > ax1.bar(wd, ws, normed=True, opening=0.8, edgecolor='white') > set_legend(ax1) > > #windrose like a stacked histogram with normed (displayed in percent) results > ax2.bar(wd1, ws1, normed=True, opening=0.8, edgecolor='white') > set_legend(ax2) > > plt.show() > > Cheers, > Scott > > ------------------------------------------------------------------------------ > Minimize network downtime and maximize team effectiveness. > Reduce network management and security costs.Learn how to hire > the most talented Cisco Certified professionals. Visit the > Employer Resources Portal > http://www.cisco.com/web/learning/employer_resources/index.html > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Minimize network downtime and maximize team effectiveness. Reduce network management and security costs.Learn how to hire the most talented Cisco Certified professionals. Visit the Employer Resources Portal http://www.cisco.com/web/learning/employer_resources/index.html _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
