Hi Jim, I attached an example that does the job circumventing Matplotlibs scientific formatting instead of solving the problem with number of digits in scientific formatting. It uses a FuncFormatter from matplotlib.ticker, which allows you to define your own tick-formatting.
Kind regards Matthias On Wednesday 28 October 2009 11:16:54 Jim Horning wrote: > Greetings, > > I've been having difficulties with axis limit control. From a bigger > application I've reduced an example down to the following short code > segment. Note, the commented-out line, #x = numpy.linspace(98.42, 99.21, > 100), line in which the example works OKAY. > > What is annoying is that the following example will produce a graph in > which the x-axis is labeled at ticks starting at 0.1 going to 0.35 (times > 1.474e2 !) Instead, I am expecting an axis from 147.63 to 148.31. Note > that if you swap out the x with the commented-out line the example works > like I would expect. > > By the way, this example is with pylab. However, I've got the same problem > using plt from matplotlib or anything matplotlib related. > === > > import random > import numpy > import pylab > > #x = numpy.linspace(98.42, 99.21, 100) > x = numpy.linspace(147.63, 148.31, 100) > y = numpy.random.random((len(x))) > pylab.plot(x, y) > pylab.xlim(numpy.min(x), numpy.min(x)) > pylab.show() > > > -- > -------------------- > Jim A. Horning > j...@jimh.com
axis_problem_demo_program.py
Description: application/python
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