As explained in my original StackOverflow question, I've found some unexpected behavior when plotting single points in matplotlib.pyplot with Datetime objects. Plotting multiple points (>1) gives the range of dates with some buffer on either side. Plotting a single point causes the range to span multiple years (2014 - 2018 using Feb 03, 2016).

When using the AutoDateLocator(), the (assumed) issue isn't as noticeable since the generated ticks are fairly conservative, but using a WeekdayLocator() instead results in a dense mess of ticks. The application I'm using this for deals with time spans of at most a few months, so suddenly getting a range of multiple years is quite jarring.

Below is some code that generates 6 matplotlib.pyplot plot images to demonstrate a few example cases and the output from running the script with the --verbose-debug flag

import matplotlib.pyplot as plt
import matplotlib.dates as md
from datetime import datetime

# Create figures
fig0 = plt.figure(0)
fig1 = plt.figure(1)
fig2 = plt.figure(2)
fig3 = plt.figure(3)
fig4 = plt.figure(4)
fig5 = plt.figure(5)
fig6 = plt.figure(6)
# Add some subplots
sub3 = fig3.add_subplot(111)
sub4 = fig4.add_subplot(111)
sub5 = fig5.add_subplot(111)
sub6 = fig6.add_subplot(111)

# Creating a regular plot directly with a single point
plt.figure(0)
plt.plot((2,), (3,), marker='o')
plt.title('Regular plot, single point')

# Doing the same, but with a subplot
sub3.plot((2,), (3,), marker='o')
sub3.set_title('Subplot, single point')

# Creating a regular plot using a Datetime object with multiple points
# Using the AutoDateLocator()
test_date_one = datetime.strptime('2016-02-03', '%Y-%m-%d')
test_date_two = datetime.strptime('2016-03-03', '%Y-%m-%d')

plt.figure(1)
plt.plot((test_date_one, test_date_two), (2, 3), marker='o')
fig1.autofmt_xdate()
plt.title('Regular plot, multiple Datetime points')

# Now with a single point
plt.figure(2)
plt.plot(test_date_one, 2, marker='o')
fig2.autofmt_xdate()
plt.title('Regular plot, single Datetime point')

# Doing the same, but with a subplot
# Multiple points
sub4.plot((test_date_one, test_date_two), (2, 3), marker='o')
fig4.autofmt_xdate()
sub4.set_title('Subplot, multiple Datetime points')

# Single point
sub5.plot(test_date_one, 2, marker='o')
fig5.autofmt_xdate()
sub5.set_title('Subplot, single Datetime point')

# Finally, single Datetime point with WeekdayLocator()
sub6.plot(test_date_two, 3, marker='o')
sub6.xaxis.set_major_locator(md.WeekdayLocator())
fig6.autofmt_xdate()
sub6.set_title('Subplot, single Datetime point, WeekdayLocator()')

plt.show()

Debug Output
$HOME=C:\Users******
matplotlib data path C:\Python27\lib\site-packages\matplotlib\mpl-data

You have the following UNSUPPORTED LaTeX preamble customizations:

Please do not ask for support with these customizations active.

loaded rc file C:\Python27\lib\site-packages\matplotlib\mpl-data\matplotlibrc
matplotlib version 1.5.1
verbose.level debug
interactive is False
platform is win32
loaded modules: <dictionary-keyiterator object at 0x04E08810>
CACHEDIR=C:\Users*.matplotlib
Using fontManager instance from C:\Users*.matplotlib\fontList.cache
backend TkAgg version 8.5
Could not load matplotlib icon: can't use "pyimage10" as iconphoto: not a photo image
Could not load matplotlib icon: can't use "pyimage19" as iconphoto: not a photo image
Could not load matplotlib icon: can't use "pyimage28" as iconphoto: not a photo image
Could not load matplotlib icon: can't use "pyimage37" as iconphoto: not a photo image
Could not load matplotlib icon: can't use "pyimage46" as iconphoto: not a photo image
Could not load matplotlib icon: can't use "pyimage55" as iconphoto: not a photo image
findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=400:stretch=normal:size=medium to Bitstream Vera Sans (u'c:\python27\lib\site-packages\matplotlib\mpl-data\fonts\ttf\Vera.ttf') with score of 0.000000
findfont: Matching :family=sans-serif:style=normal:variant=normal:weight=400:stretch=normal:size=large to Bitstream Vera Sans (u'c:\python27\lib\site-packages\matplotlib\mpl-data\fonts\ttf\Vera.ttf') with score of 0.000000