text: #!/usr/bin/env python
  """
  Demonstrate how to use major and minor tickers.
  
  The two relevant userland classes are Locators and Formatters.
  Locators determine where the ticks are and formatters control the
  formatting of ticks.
  
  Minor ticks are off by default (NullLocator and NullFormatter).  You
  can turn minor ticks on w/o labels by setting the minor locator.  You
  can also turn labeling on for the minor ticker by setting the minor
  formatter
  
  Make a plot with major ticks that are multiples of 20 and minor ticks
  that are multiples of 5.  Label major ticks with %d formatting but
  don't label minor ticks
  
  The MultipleLocator ticker class is used to place ticks on multiples of
  some base.  The FormatStrFormatter uses a string format string (eg
  '%d' or '%1.2f' or '%1.1f cm' ) to format the tick
  
  The pylab interface grid command chnages the grid settings of the
  major ticks of the y and y axis together.  If you want to control the
  grid of the minor ticks for a given axis, use for example
  
    ax.xaxis.grid(True, which='minor')
  
  Note, you should not use the same locator between different Axis
  because the locator stores references to the Axis data and view limits
  
  """
  
  from pylab import *
  from matplotlib.ticker import MultipleLocator, FormatStrFormatter
  
  majorLocator   = MultipleLocator(20)
  majorFormatter = FormatStrFormatter('%d')
  minorLocator   = MultipleLocator(5)
  
  
  t = arange(0.0, 100.0, 0.1)
  s = sin(0.1*pi*t)*exp(-t*0.01)
  
  ax = subplot(111)
  plot(t,s)
  
  ax.xaxis.set_major_locator(majorLocator)
  ax.xaxis.set_major_formatter(majorFormatter)
  
  #for the minor ticks, use no labels; default NullFormatter
  ax.xaxis.set_minor_locator(minorLocator)
  
  show()
  