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Timedelta error:one month NOT exactly #16335
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Can you show the output that you think is correct for pandas 0.19 ? I get a consistent (but maybe wrong, that could be discussed) output for the latest releases:
That said, I think we should actually disallow the |
@jreback opened an new issue for the deprecation (the top post is then cleaner) @princelai Closing this issue, as I don't see a difference between 0.19.2 and 0.20.1. But if you actually see it, please post the full output of code and result in both versions. |
Code Sample, a copy-pastable example if possible
Problem description
only month has problem.
day and week works #fine.
pandas version 0.19 yield right result ,but 0.20+ goes wrong
Expected Output
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
LOCALE: None.None
pandas: 0.20.1
pytest: 3.0.7
pip: 9.0.1
setuptools: 35.0.1
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
xarray: None
IPython: 6.0.0
sphinx: 1.5.5
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: 1.2.0
tables: 3.2.2
numexpr: 2.6.2
feather: None
matplotlib: 2.0.1
openpyxl: 2.4.1
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 3.7.3
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.1.9
pymysql: 0.7.11.None
psycopg2: None
jinja2: 2.9.6
s3fs: None
pandas_gbq: None
pandas_datareader: None
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