Description
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I have confirmed this bug exists on the latest version of pandas.
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Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
>>> import pandas as pd
>>> df = pd.DataFrame({'a': [1,2,3], 'b': [1,2,3]})
>>> s1 = pd.Series([1,2,3], name='a')
>>> s2 = pd.Series([1,2,3], name='a')
>>>pd.concat([df, s1, s2], axis=1, keys=['a', 'b', 'b'])
TypeError: int() argument must be a string, a bytes-like object or a number, not 'slice'full traceback
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-2-f6a5f4790f76> in <module>
3 s1 = pd.Series([1,2,3], name='a')
4 s2 = pd.Series([1,2,3], name='a')
----> 5 pd.concat([df, s1, s2], axis=1, keys=['a', 'b', 'b'])
~/pandas-dev/pandas/core/reshape/concat.py in concat(objs, axis, join, ignore_index, keys, levels, names, verify_integrity, sort, copy)
269 ValueError: Indexes have overlapping values: ['a']
270 """
--> 271 op = _Concatenator(
272 objs,
273 axis=axis,
~/pandas-dev/pandas/core/reshape/concat.py in __init__(self, objs, axis, join, keys, levels, names, ignore_index, verify_integrity, copy, sort)
449 self.copy = copy
450
--> 451 self.new_axes = self._get_new_axes()
452
453 def get_result(self):
~/pandas-dev/pandas/core/reshape/concat.py in _get_new_axes(self)
512 def _get_new_axes(self) -> List[Index]:
513 ndim = self._get_result_dim()
--> 514 return [
515 self._get_concat_axis() if i == self.bm_axis else self._get_comb_axis(i)
516 for i in range(ndim)
~/pandas-dev/pandas/core/reshape/concat.py in <listcomp>(.0)
513 ndim = self._get_result_dim()
514 return [
--> 515 self._get_concat_axis() if i == self.bm_axis else self._get_comb_axis(i)
516 for i in range(ndim)
517 ]
~/pandas-dev/pandas/core/reshape/concat.py in _get_concat_axis(self)
569 concat_axis = _concat_indexes(indexes)
570 else:
--> 571 concat_axis = _make_concat_multiindex(
572 indexes, self.keys, self.levels, self.names
573 )
~/pandas-dev/pandas/core/reshape/concat.py in _make_concat_multiindex(indexes, keys, levels, names)
651 names = names + get_consensus_names(indexes)
652
--> 653 return MultiIndex(
654 levels=levels, codes=codes_list, names=names, verify_integrity=False
655 )
~/pandas-dev/pandas/core/indexes/multi.py in __new__(cls, levels, codes, sortorder, names, dtype, copy, name, verify_integrity, _set_identity)
281 # we've already validated levels and codes, so shortcut here
282 result._set_levels(levels, copy=copy, validate=False)
--> 283 result._set_codes(codes, copy=copy, validate=False)
284
285 result._names = [None] * len(levels)
~/pandas-dev/pandas/core/indexes/multi.py in _set_codes(self, codes, level, copy, validate, verify_integrity)
880
881 if level is None:
--> 882 new_codes = FrozenList(
883 _coerce_indexer_frozen(level_codes, lev, copy=copy).view()
884 for lev, level_codes in zip(self._levels, codes)
~/pandas-dev/pandas/core/indexes/multi.py in <genexpr>(.0)
881 if level is None:
882 new_codes = FrozenList(
--> 883 _coerce_indexer_frozen(level_codes, lev, copy=copy).view()
884 for lev, level_codes in zip(self._levels, codes)
885 )
~/pandas-dev/pandas/core/indexes/multi.py in _coerce_indexer_frozen(array_like, categories, copy)
3681 Non-writeable.
3682 """
-> 3683 array_like = coerce_indexer_dtype(array_like, categories)
3684 if copy:
3685 array_like = array_like.copy()
~/pandas-dev/pandas/core/dtypes/cast.py in coerce_indexer_dtype(indexer, categories)
866 length = len(categories)
867 if length < _int8_max:
--> 868 return ensure_int8(indexer)
869 elif length < _int16_max:
870 return ensure_int16(indexer)
~/pandas-dev/pandas/_libs/algos_common_helper.pxi in pandas._libs.algos.ensure_int8()
59 return arr
60 else:
---> 61 return arr.astype(np.int8, copy=copy)
62 else:
63 return np.array(arr, dtype=np.int8)
TypeError: int() argument must be a string, a bytes-like object or a number, not 'slice'
Problem description
Noticed while working on #30858, I think this one needs to be solved first if we want to solve the ohlc case
Expected Output
a b b
a b a a
0 1 1 1 1
1 2 2 2 2
2 3 3 3 3Output of pd.show_versions()
INSTALLED VERSIONS
commit : e878fdc
python : 3.8.2.final.0
python-bits : 64
OS : Linux
OS-release : 5.3.0-46-generic
Version : #38~18.04.1-Ubuntu SMP Tue Mar 31 04:17:56 UTC 2020
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
pandas : 1.1.0.dev0+1302.ge878fdc41
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 46.1.3.post20200325
Cython : 0.29.16
pytest : 5.4.1
hypothesis : 5.8.0
sphinx : 3.0.0
blosc : None
feather : None
xlsxwriter : 1.2.8
lxml.etree : 4.5.0
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.11.1
IPython : 7.13.0
pandas_datareader: None
bs4 : 4.9.0
bottleneck : 1.3.2
fastparquet : 0.3.3
gcsfs : None
matplotlib : 3.2.1
numexpr : 2.7.1
odfpy : None
openpyxl : 3.0.3
pandas_gbq : None
pyarrow : 0.16.0
pytables : None
pyxlsb : None
s3fs : 0.4.2
scipy : 1.4.1
sqlalchemy : 1.3.16
tables : 3.6.1
tabulate : 0.8.7
xarray : 0.15.1
xlrd : 1.2.0
xlwt : 1.3.0
numba : 0.48.0