#!/usr/bin/env python # # matplotlib now has a PolarAxes class and a polar function in the # matplotlib interface. This is considered alpha and the interface # may change as we work out how polar axes should best be integrated # # The only function that has been tested on polar axes is "plot" (the # pylab interface function "polar" calls ax.plot where ax is a # PolarAxes) -- other axes plotting functions may work on PolarAxes # but haven't been tested and may need tweaking. # # you can get get a PolarSubplot instance by doing, for example # # subplot(211, polar=True) # # or a PolarAxes instance by doing # axes([left, bottom, width, height], polar=True) # # The view limits (eg xlim and ylim) apply to the lower left and upper # right of the rectangular box that surrounds to polar axes. Eg if # you have # # r = arange(0,1,0.01) # theta = 2*pi*r # # the lower left corner is 5/4pi, sqrt(2) and the # upper right corner is 1/4pi, sqrt(2) # # you could change the radial bounding box (zoom out) by setting the # ylim (radial coordinate is the second argument to the plot command, # as in matlab(TM), though this is not advised currently because it is not # clear to me how the axes should behave in the change of view limits. # Please advise me if you have opinions. Likewise, the pan/zoom # controls probably do not do what you think they do and are better # left alone on polar axes. Perhaps I will disable them for polar # axes unless we come up with a meaningful, useful and functional # implementation for them. # # See the pylab rgrids and thetagrids functions for # information on how to customize the grid locations and labels import numpy as np from matplotlib.pyplot import figure, show, rc, grid # radar green, solid grid lines rc('grid', color='#316931', linewidth=1, linestyle='-') rc('xtick', labelsize=15) rc('ytick', labelsize=15) # force square figure and square axes looks better for polar, IMO fig = figure(figsize=(8,8)) ax = fig.add_axes([0.1, 0.1, 0.8, 0.8], polar=True, axisbg='#d5de9c') r = np.arange(0, 3.0, 0.01) theta = 2*np.pi*r ax.plot(theta, r, color='#ee8d18', lw=3) ax.set_rmax(2.0) grid(True) ax.set_title("And there was much rejoicing!", fontsize=20) show()

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