From: Thomas C. <tca...@gm...> - 2015-05-24 18:58:55
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To get the index of the grid you clicked on requires some knowledge of what artist you are working with. See https://github.com/matplotlib/matplotlib/pull/3989 for some brand new code which makes this easier to implement in a general way. While we catch up with that you will need to implement your own mapping of x/y in data space -> i, j See http://matplotlib.org/examples/api/image_zcoord.html for an example. Tom On Tue, May 12, 2015 at 2:21 AM GoogleWind <goo...@16...> wrote: > Hi everyone! > It is cool to use the pcolormesh in matplotlib. However, is there a way to > get the i, j indexes of the clicked cell? I have try > event.mouseevent.xdata > and event.mouseevent.x. But they did not return the index I need. > > Thanks in advanced for your help. > > Dr. Jiacong Huang > Nanjing Institute of Geography & Limnology > Chinese Academy of Sciences > 73 East Beijing Road, Nanjing 210008, China > Tel./Fax: +86-25-86882127 > Homepage: http://www.escience.cn/people/elake/index.html > > > > ---Code to generate pcolormesh------------------------------- > import numpy as np > from matplotlib.pyplot import figure, show > from numpy import ma > > n = 12 > x = np.linspace(-1.5,1.5,n) > y = np.linspace(-1.5,1.5,n*2) > X,Y = np.meshgrid(x,y); > Qx = np.cos(Y) - np.cos(X) > Qz = np.sin(Y) + np.sin(X) > Qx = (Qx + 1.1) > Z = np.sqrt(X**2 + Y**2)/5; > Z = (Z - Z.min()) / (Z.max() - Z.min()) > > # The color array can include masked values: > Zm = ma.masked_where(np.fabs(Z) > 100, Z) > > fig = figure() > ax = fig.add_subplot(111) > col = ax.pcolormesh(Qx[:5,:4],Qz[:5,:4],Zm[:4,:3]) > show() > ------------------------- > > > > -- > View this message in context: > http://matplotlib.1069221.n5.nabble.com/How-to-get-the-value-of-a-cell-in-pcolormesh-tp45499.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > One dashboard for servers and applications across Physical-Virtual-Cloud > Widest out-of-the-box monitoring support with 50+ applications > Performance metrics, stats and reports that give you Actionable Insights > Deep dive visibility with transaction tracing using APM Insight. > http://ad.doubleclick.net/ddm/clk/290420510;117567292;y > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > |