Description
Hi,
I found a bug, tested on pandas 0.16 and 0.17. On large time series, the truncate() method throws an IndexError. Here's code that reproduces the bug:
>>> import pandas as pd
>>> # Works fine on small timeseries:
>>> small = pd.Series(data=range(int(2e3)), index=range(int(2e3)))
>>> small.truncate()
>>> small.truncate(before=0, after=3e3)
>>> # IndexError thrown on large timeseries:
>>> big = pd.Series(data=range(int(2e6)), index=range(int(2e6)))
>>> big.truncate()
>>> big.truncate(before=0, after=3e6)Info version:
INSTALLED VERSIONS
commit: None
python: 2.7.8.final.0
python-bits: 64
OS: Linux
OS-release: 3.16.0-41-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
pandas: 0.17.0
nose: 1.3.4
pip: 7.1.2
setuptools: 5.5.1
Cython: 0.20.2
numpy: 1.8.2
scipy: 0.14.0
statsmodels: None
IPython: 3.0.0
sphinx: 1.2.2
patsy: None
dateutil: 2.4.2
pytz: 2015.6
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.3.1
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: 4.3.2
html5lib: None
httplib2: 0.9
apiclient: None
sqlalchemy: 0.9.7
pymysql: None
psycopg2: None