When plotting time series after importing pandas, the default locator/formatter do not support microsecond resolution handling although it is available in matplotlib 1.3.0+. Besides backwards compatibility reasons, there might not be any reason anymore to keep around the PandasAutoDateLocator/PandasAutoDateFormatter classes, which were introduced in this commit.
See also my comment here and this related issue. An example of this is shown in this notebook.
pd.show_versions():
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.17.7-el5.ia32e.lime.0
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.utf8
pandas: 0.14.0
nose: 1.3.4
Cython: 0.21
numpy: 1.8.2
scipy: 0.14.0
statsmodels: 0.5.0
IPython: 2.3.0
sphinx: 1.1.3
patsy: 0.3.0
scikits.timeseries: None
dateutil: 2.2
pytz: 2014.4
bottleneck: None
tables: None
numexpr: 2.4
matplotlib: 1.4.0
openpyxl: 1.8.6
xlrd: 0.9.3
xlwt: None
xlsxwriter: None
lxml: 3.3.6
bs4: None
html5lib: None
bq: None
apiclient: None
rpy2: 2.4.3
sqlalchemy: None
pymysql: 0.6.2.None
psycopg2: None
Comment From: mroeschke
Thanks for the suggestion but this issue hasn't gained a lot of interest or traction in many years so closing