matplotlib bar chart with dates

I know about plot_date() but is there a bar_date() out there?

The general method would be to use set_xticks and set_xticklabels, but I'd like something that can handle time scales from a few hours out to a few years (this means involving the major and minor ticks to make things readable).

I am plotting values associated with a specific time interval (that the bar spans). Here is the basic solution I used:

import matplotlib.pyplot as plt
import datetime
t = [datetime.datetime(2010, 12, 2, 22, 0), datetime.datetime(2010, 12, 2, 23, 0),
     datetime.datetime(2010, 12, 10, 0, 0), datetime.datetime(2010, 12, 10, 6, 0)]
y = [4, 6, 9, 3]
interval = 1.0 / 24.0  #1hr intervals, but maplotlib dates have base of 1 day
ax = plt.subplot(111)
ax.bar(t, y, width=interval)
ax.xaxis_date()
plt.show()

All plot_date does is plot the function and the call ax.xaxis_date().

All you should need to do is this:

import numpy as np
import matplotlib.pyplot as plt
import datetime

x = [datetime.datetime(2010, 12, 1, 10, 0),
    datetime.datetime(2011, 1, 4, 9, 0),
    datetime.datetime(2011, 5, 5, 9, 0)]
y = [4, 9, 2]

ax = plt.subplot(111)
ax.bar(x, y, width=10)
ax.xaxis_date()

plt.show()