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Proposal: interval_range and period_range should raise. Add the word "exactly" to the error message of all for additional clarity: "Must specify exactly two of start, end, or periods".
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.2.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
Currently there are some inconsistencies in behavior between the various
*_range
functions:date_range
,period_range
,timedelta_range
,interval_range
.Note:
bdate_range
andcdate_range
largely use the same code asdate_range
, so I'm lumping the behavior all three together in the examples below.End Inclusion
The
end
parameter ofinterval_range
is not included in the resultingIntervalIndex
:However,
end
is included in the output of the other*_range
functions:Proposal:
interval_range
should includeend
as the endpoint of the last interval in the resultingIntervalIndex
.Behavior when too many parameters are passed
When the
start
,end
, andperiods
parameters are all passed,interval_range
ignores theperiods
parameter:However,
period_range
ignores theend
parameter:Both
date_range
andtimedelta_range
raise:Proposal:
interval_range
andperiod_range
should raise. Add the word "exactly" to the error message of all for additional clarity: "Must specify exactly two of start, end, or periods".Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.2.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.20.3
pytest: 3.1.2
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.26
numpy: 1.13.1
scipy: 0.19.1
xarray: None
IPython: 6.1.0
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: 1.2.1
tables: 3.2.2
numexpr: 2.6.2
feather: None
matplotlib: 2.0.2
openpyxl: 2.4.7
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 3.7.3
bs4: 4.6.0
html5lib: 0.999
sqlalchemy: 1.1.9
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
pandas_gbq: None
pandas_datareader: None
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