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Error ReportingIncorrect or improved errors from pandasIncorrect or improved errors from pandasMultiIndex
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Description
Code Sample, a copy-pastable example if possible
In [2]: pd.MultiIndex.from_arrays([[1,2,3], ['a', 'b']])
Out[2]:
MultiIndex(levels=[[1, 2, 3], ['a', 'b']],
labels=[[0, 1, 2], [0, 1]])
In [3]: pd.MultiIndex.from_arrays([[1,2,3], ['a', 'b']]).values
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-3-65e6fa14e07f> in <module>()
----> 1 pd.MultiIndex.from_arrays([[1,2,3], ['a', 'b']]).values
/home/nobackup/repo/pandas/pandas/indexes/multi.py in values(self)
552 values.append(taken)
553
--> 554 self._tuples = lib.fast_zip(values)
555 return self._tuples
556
/home/nobackup/repo/pandas/pandas/lib.pyx in pandas.lib.fast_zip (pandas/lib.c:11131)()
587 it = <flatiter> PyArray_IterNew(arr)
588 if len(arr) != n:
--> 589 raise ValueError('all arrays must be same length')
590
591 for i in range(n):
ValueError: all arrays must be same length
Expected Output
The first previous command should already raise an error.
output of pd.show_versions()
In [4]: pd.show_versions()
INSTALLED VERSIONS
------------------
commit: a63bd12529ff309d957d714825b1753d0e02b7fa
python: 3.5.1.final.0
python-bits: 64
OS: Linux
OS-release: 4.5.0-2-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.utf8
LOCALE: it_IT.UTF-8
pandas: 0.18.1+174.ga63bd12
nose: 1.3.7
pip: 1.5.6
setuptools: 18.4
Cython: 0.23.4
numpy: 1.10.4
scipy: 0.16.0
statsmodels: 0.8.0.dev0+111ddc0
xarray: None
IPython: 5.0.0.dev
sphinx: 1.3.1
patsy: 0.3.0-dev
dateutil: 2.2
pytz: 2012c
blosc: None
bottleneck: 1.1.0dev
tables: 3.2.2
numexpr: 2.5
matplotlib: 1.5.1
openpyxl: None
xlrd: 0.9.4
xlwt: 1.1.2
xlsxwriter: 0.7.3
lxml: None
bs4: 4.4.0
html5lib: 0.999
httplib2: 0.9.1
apiclient: 1.5.0
sqlalchemy: 1.0.11
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.38.0
pandas_datareader: 0.2.1
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Error ReportingIncorrect or improved errors from pandasIncorrect or improved errors from pandasMultiIndex
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sahildua2305 commentedon Jul 10, 2016
@jreback Hi, I'd like to contribute to this library. Can you please help me in starting with it as well as tagging me in some task perfect for a beginner?
Thanks! 😄
jreback commentedon Jul 10, 2016
@sahildua2305 see contributing docs here
things tagged a 'Difficulty Novice' are generally pretty straightforward (like this issue)
sahildua2305 commentedon Jul 10, 2016
@jreback Thanks for pointers!
However this link doesn't work for me. Can you please check once?
jreback commentedon Jul 10, 2016
seems ok to me.
sahildua2305 commentedon Jul 10, 2016
Accessible now. Thanks once again!