Hi,
I’m using the twiny fonction to plot two functions on the same axes.
I would like to have both informations displayed on the navigation bar.
Now, I have :
pan/zoom : x=220, y=80
Is-it possible to customize the toolbar in order to have
pan/zoom : x1=220, x2=300, y=80
–
LB
It is possible but not so fancy.
Regards,
-JJ
clf()
ax1= subplot(111)
ax2= ax1.twiny()
ax2.set_xlim(0,10)
def report_ax1ax2(x2, y2):
# x2, y2 : data coordinate in ax2
xy_pixel = ax2.transData.transform_point((x2,y2))
x1, y1 = ax1.transData.inverted().transform_point(xy_pixel)
return "x1=%f x2=%f y=%f" % (x1, x2, y2)
ax2.format_coord = report_ax1ax2
On Thu, Oct 15, 2009 at 5:58 AM, LB <bravo.loic@...287...> wrote:
Hi,
I'm using the twiny fonction to plot two functions on the same axes.
I would like to have both informations displayed on the navigation bar.
Now, I have :
pan/zoom : x=220, y=80Is-it possible to customize the toolbar in order to have
pan/zoom : x1=220, x2=300, y=80--
LB------------------------------------------------------------------------------
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It would be very fine to me, but unfortunately, I have to use matplotlib 0.91.2.
Is there a way to adapt this to the old transform API ?
Thanks
–
LB
Seems that the following lines did the trick with matplotlib 0.91.2
xy_pixel = self.a3.transData.xy_tup((x3,y3))
x1, y1 = self.a1.transData.inverse_xy_tup(xy_pixel)
Thanks
2009/10/16 LB <bravo.loic@…287…>
It would be very fine to me, but unfortunately, I have to use matplotlib 0.91.2.
Is there a way to adapt this to the old transform API ?Thanks
–
LB