Description
Code Sample, a copy-pastable example if possible
In [2]: pd.Series([[[2], [3], [4]]], index=['a'], dtype='object')
Out[2]:
a [[2], [3], [4]]
dtype: object
In [3]: pd.Series({'a' : [[2], [3], [4]]}, index=['a'])
Out[3]:
a [[2], [3], [4]]
dtype: object
In [4]: pd.Series({'a' : [[2], [3], [4]]}, index=['a'], dtype='object')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-4-03acef2498da> in <module>()
----> 1 pd.Series({'a' : [[2], [3], [4]]}, index=['a'], dtype='object')
/home/nobackup/repo/pandas/pandas/core/series.py in __init__(self, data, index, dtype, name, copy, fastpath)
198 data = data._data
199 elif isinstance(data, dict):
--> 200 data, index = self._init_dict(data, index, dtype)
201 dtype = None
202 copy = False
/home/nobackup/repo/pandas/pandas/core/series.py in _init_dict(self, data, index, dtype)
275
276 # Input is now list-like, so rely on "standard" construction:
--> 277 s = Series(values, index=keys, dtype=dtype)
278
279 # Now we just make sure the order is respected, if any
/home/nobackup/repo/pandas/pandas/core/series.py in __init__(self, data, index, dtype, name, copy, fastpath)
241 raise_cast_failure=True)
242
--> 243 data = SingleBlockManager(data, index, fastpath=True)
244
245 generic.NDFrame.__init__(self, data, fastpath=True)
/home/nobackup/repo/pandas/pandas/core/internals.py in __init__(self, block, axis, do_integrity_check, fastpath)
4426 if not isinstance(block, Block):
4427 block = make_block(block, placement=slice(0, len(axis)), ndim=1,
-> 4428 fastpath=True)
4429
4430 self.blocks = [block]
/home/nobackup/repo/pandas/pandas/core/internals.py in make_block(values, placement, klass, ndim, dtype, fastpath)
2962 placement=placement, dtype=dtype)
2963
-> 2964 return klass(values, ndim=ndim, fastpath=fastpath, placement=placement)
2965
2966 # TODO: flexible with index=None and/or items=None
/home/nobackup/repo/pandas/pandas/core/internals.py in __init__(self, values, ndim, fastpath, placement, **kwargs)
2086
2087 super(ObjectBlock, self).__init__(values, ndim=ndim, fastpath=fastpath,
-> 2088 placement=placement, **kwargs)
2089
2090 @property
/home/nobackup/repo/pandas/pandas/core/internals.py in __init__(self, values, placement, ndim, fastpath)
110 ndim = values.ndim
111 elif values.ndim != ndim:
--> 112 raise ValueError('Wrong number of dimensions')
113 self.ndim = ndim
114
ValueError: Wrong number of dimensions
Problem description
Yes, this is a weird use case, but
- the first and second examples, which are very similar, work
- the fix is easy (will push a PR)
Expected Output
Out[2]:
Output of pd.show_versions()
INSTALLED VERSIONS
commit: 6e56195
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-4-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.UTF-8
LOCALE: it_IT.UTF-8
pandas: 0.22.0.dev0+275.g6e56195fc
pytest: 3.2.3
pip: 9.0.1
setuptools: 36.7.0
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.0dev
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.0.0
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.3.0
xlsxwriter: 0.9.6
lxml: 4.1.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.2.1