Neal,

I can't run your script as is, but something as simple as this show work:

import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xscale('log')

ax.xaxis.grid(True, which='major')
ax.xaxis.grid(True, which='minor')

plt.show()

On Tue, May 15, 2012 at 10:18 AM, Neal Becker <ndbeck...@gmail.com> wrote:
> In the following code snippet (not a complete example), I get the
> dashed lines for the minor ticks on the y (log) axis, but on the x axis, I 
> only
> got the major ticks lines.  How do I get minor lines to show up?
>
> (Previously, I tried without the MultipleLocator and set_minor_locator, but
> still got only major x axis lines plotted)
>
> import matplotlib.pyplot as plt
> fig = plt.figure()
> ax = fig.add_subplot(111)
>
> ax.semilogy (h1.buckets(), h1.cumulative())
> ax.semilogy (h2.buckets(), h2.inv_cumulative())
> from matplotlib.ticker import MultipleLocator
> minorLocator   = MultipleLocator(5)
> ax.xaxis.set_minor_locator(minorLocator)
> plt.grid(b=True, which='major', linestyle='solid')
> plt.grid(b=True, which='minor', linestyle='dashed')
> plt.show()
>
>
>
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Live Security Virtual Conference
Exclusive live event will cover all the ways today's security and 
threat landscape has changed and how IT managers can respond. Discussions 
will include endpoint security, mobile security and the latest in malware 
threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/
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