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IndexingRelated to indexing on series/frames, not to indexes themselvesRelated to indexing on series/frames, not to indexes themselvesIntervalInterval data typeInterval data typeNeeds TestsUnit test(s) needed to prevent regressionsUnit test(s) needed to prevent regressionsgood first issue
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Code Sample, a copy-pastable example if possible
import pandas as pd df = pd.DataFrame({pd.Interval(1, 2): [1, 2]}) df.iloc[:, 0] += 0Problem description
The above code produces an error
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-383-347ea2a5ae96> in <module>() 1 df = pd.DataFrame({pd.Interval(1, 2): [1, 2]}) 2 ----> 3 df.iloc[:, 0] += 0 //anaconda/envs/3.6/lib/python3.6/site-packages/pandas/core/indexing.py in __setitem__(self, key, value) 177 key = com._apply_if_callable(key, self.obj) 178 indexer = self._get_setitem_indexer(key) --> 179 self._setitem_with_indexer(indexer, value) 180 181 def _has_valid_type(self, k, axis): //anaconda/envs/3.6/lib/python3.6/site-packages/pandas/core/indexing.py in _setitem_with_indexer(self, indexer, value) 599 all(is_null_slice(idx) for i, idx in enumerate(indexer) 600 if i != info_axis) and item_labels.is_unique): --> 601 self.obj[item_labels[indexer[info_axis]]] = value 602 return 603 //anaconda/envs/3.6/lib/python3.6/site-packages/pandas/core/frame.py in __setitem__(self, key, value) 2329 else: 2330 # set column -> 2331 self._set_item(key, value) 2332 2333 def _setitem_slice(self, key, value): //anaconda/envs/3.6/lib/python3.6/site-packages/pandas/core/frame.py in _set_item(self, key, value) 2396 self._ensure_valid_index(value) 2397 value = self._sanitize_column(key, value) -> 2398 NDFrame._set_item(self, key, value) 2399 2400 # check if we are modifying a copy //anaconda/envs/3.6/lib/python3.6/site-packages/pandas/core/generic.py in _set_item(self, key, value) 1757 1758 def _set_item(self, key, value): -> 1759 self._data.set(key, value) 1760 self._clear_item_cache() 1761 //anaconda/envs/3.6/lib/python3.6/site-packages/pandas/core/internals.py in set(self, item, value, check) 3729 removed_blknos = [] 3730 for blkno, val_locs in _get_blkno_placements(blknos, len(self.blocks), -> 3731 group=True): 3732 blk = self.blocks[blkno] 3733 blk_locs = blklocs[val_locs.indexer] //anaconda/envs/3.6/lib/python3.6/site-packages/pandas/core/internals.py in _get_blkno_placements(blknos, blk_count, group) 4682 4683 # FIXME: blk_count is unused, but it may avoid the use of dicts in cython -> 4684 for blkno, indexer in lib.get_blkno_indexers(blknos, group): 4685 yield blkno, BlockPlacement(indexer) 4686 pandas/_libs/lib.pyx in pandas._libs.lib.get_blkno_indexers (pandas/_libs/lib.c:25817)() ValueError: Buffer has wrong number of dimensions (expected 1, got 0) Expected Output
I expected no error
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.0.final.0
python-bits: 64
OS: Darwin
OS-release: 16.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.20.3
pytest: 3.0.5
pip: 9.0.1
setuptools: 36.2.0
Cython: 0.25.2
numpy: 1.13.1
scipy: 0.18.1
xarray: 0.9.5
IPython: 5.1.0
sphinx: 1.5.1
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.0
tables: 3.3.0
numexpr: 2.6.1
feather: 0.4.0
matplotlib: 2.0.0
openpyxl: 2.4.1
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 3.7.2
bs4: 4.5.3
html5lib: 0.9999999
sqlalchemy: 1.1.5
pymysql: None
psycopg2: None
jinja2: 2.9.4
s3fs: None
pandas_gbq: None
pandas_datareader: 0.4.0
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IndexingRelated to indexing on series/frames, not to indexes themselvesRelated to indexing on series/frames, not to indexes themselvesIntervalInterval data typeInterval data typeNeeds TestsUnit test(s) needed to prevent regressionsUnit test(s) needed to prevent regressionsgood first issue