A quick-n-dirty way would be to use markers via the scatter() function.
Just set the facecolor to 'none', and some very large markersize value.
Ben Root
On Wed, Apr 8, 2015 at 12:49 PM, LowDepth <Hag...@gm...> wrote:
> Hello,
>
> how can I plot circles or other shapes in plots which have logarithmic
> axis?
> I have a grid of 3 plots and want to plot some kind of sketches in the
> lower
> right corner of
> each subplot. How should I do that?
>
> import numpy as np
> from matplotlib import pyplot as plt
> from matplotlib import gridspec
>
> fig = plt.figure(figsize=(6, 10))
> gs = gridspec.GridSpec(3, 1, height_ratios=[1.5, 1, 1])#, height_ratios=[2,
> 1, 1])
> ax0 = plt.subplot(gs[0])
> ax1 = plt.subplot(gs[1])
> ax2 = plt.subplot(gs[2])
> plt.setp(ax_new.get_yticklabels(), visible=False)
> plt.setp(ax_new.get_xticklabels(), visible=False)
> ax_new = fig.add_axes([0,0,1,1], frameon=False,aspect="equal")
> ax_new.axes.get_yaxis().set_visible(False)
> ax_new.axes.get_xaxis().set_visible(False)
> circle1=plt.Circle((0.2,0.0),0.05, color="0.8")
> circle2=plt.Circle((0.4,0.0),0.05, color="0.8")
> ax_new.add_artist(circle1)
> ax_new.add_artist(circle2)
>
> ax0.semilogx(x,x**2, "k-", linewidth=2)
> ax1.semilogx(x,x**3, "k--", linewidth=2)
> ax2.semilogx(x,np.exp(-x)+x**4, "k-.", linewidth=2)
> plt.tight_layout()
> plt.show()
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/How-to-draw-circles-in-logscale-plots-tp45367.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
>
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