#!/usr/bin/env python2.7

import datetime
from matplotlib.pyplot import figure, show
from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange
from numpy import arange

date1 = datetime.datetime( 2000, 3, 2)
date2 = datetime.datetime( 2000, 3, 6)
delta = datetime.timedelta(hours=6)
dates = drange(date1, date2, delta)

y = arange( len(dates)*1.0)

fig = figure()
ax = fig.add_subplot(111)
ax.plot_date(dates, y*y)

# this is superfluous, since the autoscaler should get it right, but
# use date2num and num2date to to convert between dates and floats if
# you want; both date2num and num2date convert an instance or sequence
ax.set_xlim( dates[0], dates[-1] )

# The hour locator takes the hour or sequence of hours you want to
# tick, not the base multiple

ax.xaxis.set_major_locator( DayLocator() )
ax.xaxis.set_minor_locator( HourLocator(arange(0,25,6)) )
ax.xaxis.set_major_formatter( DateFormatter('%Y-%m-%d') )

ax.fmt_xdata = DateFormatter('%Y-%m-%d %H:%M:%S')
fig.autofmt_xdate()

show()
