Pandas Irregular TimedeltaIndex points being spaced regularly along x-axis

This bug shows up when using the plot method of a Series or DataFrame (Series example below) that has a TimedeltaIndex. x-axis time points become regularly spaced rather than spaced according to real time spans.

import pandas as pd

clock_times = pd.to_datetime(['12:00:00','12:23:00','12:30:00','12:45:00','13:54:00','14:15:00'])

elapsed_times = clock_times - clock_times[0]

test_data = pd.Series(data=[1,2,3,4,5,6], index=elapsed_times)

test_data.plot(style='o')

(Going straight to matplotlib is a workaround (plt.plot(test_data.index, test_data).)

INSTALLED VERSIONS

commit: None python: 3.4.3.final.0 python-bits: 64 OS: Darwin OS-release: 15.0.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8

pandas: 0.16.2 nose: None Cython: None numpy: 1.9.3 scipy: 0.16.0 statsmodels: None IPython: 4.0.0 sphinx: None patsy: None dateutil: 2.4.2 pytz: 2015.6 bottleneck: None tables: None numexpr: None matplotlib: 1.4.3 openpyxl: None xlrd: None xlwt: None xlsxwriter: None lxml: None bs4: None html5lib: None httplib2: None apiclient: None sqlalchemy: None pymysql: None psycopg2: None

Comment From: jorisvandenbossche

Yes, this is not yet implemented. See https://github.com/pydata/pandas/issues/8711