Edit:
Having seen actual data from the OP, all of the values are at the same date/time. So matplotlib is automatically zooming the x-axis out. You can still manually set the x-axis limits with datetime
objects
If I do something like this on matplotlib v1.3.1:
import datetime
import matplotlib.pyplot as plt
x = [datetime.date(2014, 1, 29)] * 3
y = [2, 4, 1]
fig, ax = plt.subplots()
ax.plot_date(x, y, markerfacecolor='CornflowerBlue', markeredgecolor='white')
fig.autofmt_xdate()
ax.set_xlim([datetime.date(2014, 1, 26), datetime.date(2014, 2, 1)])
ax.set_ylim([0, 5])
I get:
And the axes limits match the dates that I specified.
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