Plot week data as subplots

subplot_weekdata.py

# -*- coding: utf-8 -*-
"""
 ____________________________________________________________
| +--------------------------------------------------------+ |
| !    ^                 ___                   ---         ! |
| !   / \    _--_       /   \        /\       /   \        ! |
| !  /   \__/    \     /     \_-___--  \     /     \       ! |
| ! /             \___/                 --__/        --__- ! |
| +-------+-------+-------+-------+-------+-------+--------+ |
|   04/02   04/03   04/04   04/02   04/03   04/04   04/04    |
|     Mon    Tue     Wed     Thu     Fri     Sat     Sun     |
| +--------------------------------------------------------+ |
| !    ^                 ___                   ---         ! |
| !   / \    _--_       /   \        /\       /   \        ! |
| !  /   \__/    \     /     \_-___--  \     /     \       ! |
| ! /             \___/                 --__/        --__- ! |
| +-------+-------+-------+-------+-------+-------+--------+ |
|   04/02   04/03   04/04   04/02   04/03   04/04   04/04    |
|     Mon    Tue     Wed     Thu     Fri     Sat     Sun     |
 ____________________________________________________________


1) I would like to see the xticks label for the first plot too, 
at the moment it is shown only for the second subplot.

2) I would like to move the xticks label of 0.5 of the  
xticks width, at the moment I have:

   +-------+-------+-------+-------+-------+-------+--------+
 04/02   04/03   04/04   04/02   04/03   04/04   04/04
  Mon     Tue     Wed     Thu     Fri     Sat     Sun


and I would like this:

   +-------+-------+-------+-------+-------+-------+--------+
     04/02   04/03   04/04   04/02   04/03   04/04   04/04
      Mon     Tue     Wed     Thu     Fri     Sat     Sun

"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

import locale
locale.setlocale(locale.LC_ALL, 'en_US.UTF-8')

import datetime as dt

def get_dates(start_day, stop_day, year=2012, month=4):
    dates = []
    for day in range(start_day, stop_day):
        for hour in range(0, 24):
            dates.append(dt.datetime(year, month, day, hour))
    return np.array(dates)

DATAW = (
(get_dates(2, 9), np.random.random(24*7)),
(get_dates(9, 16), np.random.random(24*7)),
)

fig = plt.figure()
sub = 211
for dates, vals in DATAW:
    ax = fig.add_subplot(sub)
    ax.plot(dates, vals, 'o-')
    ax.xaxis.set_major_locator( mdates.DayLocator() )
    ax.xaxis.set_minor_locator( mdates.HourLocator(np.arange(0,25,6)) )
    ax.xaxis.set_major_formatter( mdates.DateFormatter(u'%m/%d\n%a') )
    fig.autofmt_xdate(rotation=0, ha='center')
    plt.setp(ax.get_xticklabels(), visible=True)
    plt.grid()
    sub += 1

fig.subplots_adjust(hspace=.5)
plt.savefig("CO.pdf")
plt.show()