Dear users, Below is a sample script I got from windrose pack. I would like to place 2 windroses side by side so that a comparison can be made. For example I have created additional variables ws1 wd1, and I would like that to be placed in the same row as a 1 row 2 column way. Any help in this regard will be great. (I tried subplot(221) subplot(222) but it do not work as the windrose uses new axis each time.)
from windrose import WindroseAxes from matplotlib import pyplot as plt import matplotlib.cm as cm from numpy.random import random from numpy import arange #Create wind speed and direction variables ws = random(500)*6 wd = random(500)*360 ws1 = random(500)*6 wd1 = random(500)*360 def new_axes(): fig = plt.figure(figsize=(8, 8), dpi=80, facecolor='w', edgecolor='w') rect = [0.1, 0.1, 0.8, 0.8] 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) #windrose like a stacked histogram with normed (displayed in percent) results ax = new_axes() ax.bar(wd, ws, normed=True, opening=0.8, edgecolor='white') set_legend(ax) #Another stacked histogram representation, not normed, with bins limits ##print ax._info plt.show() *************************************************************** 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 *************************************************************** ------------------------------------------------------------------------------ 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
