-
- Notifications
You must be signed in to change notification settings - Fork 19.4k
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