You're talking about histograms, but this doesn't quite make sense. Histograms and bar charts are different things. An histogram would be a bar chart representing the sum of values per year, for example. Here, you just seem to be after bars.
Here is a complete example from your data that shows a bar of for each required value at each date:
import pylab as pl
import datetime
data = """0 14-11-2003
1 15-03-1999
12 04-12-2012
33 09-05-2007
44 16-08-1998
55 25-07-2001
76 31-12-2011
87 25-06-1993
118 16-02-1995
119 10-02-1981
145 03-05-2014"""
values = []
dates = []
for line in data.split("\n"):
x, y = line.split()
values.append(int(x))
dates.append(datetime.datetime.strptime(y, "%d-%m-%Y").date())
fig = pl.figure()
ax = pl.subplot(111)
ax.bar(dates, values, width=100)
ax.xaxis_date()
You need to parse the date with strptime and set the x-axis to use dates (as described in this answer).
If you're not interested in having the x-axis show a linear time scale, but just want bars with labels, you can do this instead:
fig = pl.figure()
ax = pl.subplot(111)
ax.bar(range(len(dates)), values)
EDIT: Following comments, for all the ticks, and for them to be centred, pass the range to set_ticks (and move them by half the bar width):
fig = pl.figure()
ax = pl.subplot(111)
width=0.8
ax.bar(range(len(dates)), values, width=width)
ax.set_xticks(np.arange(len(dates)) + width/2)
ax.set_xticklabels(dates, rotation=90)