I just tried this method and it does work if you are using integers or whole
numbers. However, I am working with time on my x axis. So when I zoom too
close, floating point numbers are required... Is there any way to just turn
off the exponent number in the right corner and force the x tick labels to
be integers or floating point depending on how close one is zoomed?
David Simpson-3 wrote:
>
> I also had some trouble with exponents in an axis, getting
> 0.0 to 3.0 on the axis, with +1.998e3. I wanted the years
> 1998 to 2001 instead. I solved this using the following code
> (with the solution bits commented out):
>
> #!/usr/bin/env python
> from pylab import *
> # from matplotlib.ticker import FormatStrFormatter
>
> x = array([ 1998, 1999, 2000, 2001 ])
> y = array([ 2.3, 4.5, 2.6, 7.2 ])
>
> # ax=subplot(111)
> plot(x,y)
>
> ## Needed to get 2001, not 1+2e3:
> # majorFormatter=FormatStrFormatter('%d')
> # ax.xaxis.set_major_formatter(majorFormatter)
> # show()
>
>
> Dave
>
>
>
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-----
Krishna Adrianto Pribadi
Test Engineer
Harley-Davidson Motor Co.
Talladega Test Facility
Vehicle Test Stands
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