Closed
Description
When converting Series to categorical dtype, the following method
pd.Series(pd.Series(['a', 'b', 'c']), dtype='category')fails with traceback
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-32-6c903a3f0db3> in <module>()
----> 1 pd.Series(pd.Series(['a', 'b', 'c']), dtype='category')
/Users/ttylec/.virtualenvs/zettafox/lib/python3.6/site-packages/pandas/core/series.py in __init__(self, data, index, dtype, name, copy, fastpath)
241 if dtype is not None:
242 data = data.astype(dtype=dtype, raise_on_error=False,
--> 243 copy=copy)
244 elif copy:
245 data = data.copy()
/Users/ttylec/.virtualenvs/zettafox/lib/python3.6/site-packages/pandas/core/internals.py in astype(self, dtype, **kwargs)
3222
3223 def astype(self, dtype, **kwargs):
-> 3224 return self.apply('astype', dtype=dtype, **kwargs)
3225
3226 def convert(self, **kwargs):
/Users/ttylec/.virtualenvs/zettafox/lib/python3.6/site-packages/pandas/core/internals.py in apply(self, f, axes, filter, do_integrity_check, consolidate, **kwargs)
3089
3090 kwargs['mgr'] = self
-> 3091 applied = getattr(b, f)(**kwargs)
3092 result_blocks = _extend_blocks(applied, result_blocks)
3093
/Users/ttylec/.virtualenvs/zettafox/lib/python3.6/site-packages/pandas/core/internals.py in astype(self, dtype, copy, errors, values, **kwargs)
469 def astype(self, dtype, copy=False, errors='raise', values=None, **kwargs):
470 return self._astype(dtype, copy=copy, errors=errors, values=values,
--> 471 **kwargs)
472
473 def _astype(self, dtype, copy=False, errors='raise', values=None,
/Users/ttylec/.virtualenvs/zettafox/lib/python3.6/site-packages/pandas/core/internals.py in _astype(self, dtype, copy, errors, values, klass, mgr, **kwargs)
488 # this is only called for non-categoricals
489 if self.is_categorical_astype(dtype):
--> 490 return self.make_block(Categorical(self.values, **kwargs))
491
492 # astype processing
TypeError: __init__() got an unexpected keyword argument 'raise_on_error'When using simple list or np.array instead of pd.Series, it work. Doing .astype('category') also works.
INSTALLED VERSIONS
------------------
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Darwin
OS-release: 15.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.20.1
pytest: None
pip: 9.0.1
setuptools: 35.0.1
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
xarray: None
IPython: 5.3.0
sphinx: None
patsy: None
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: None
tables: 3.3.0
numexpr: 2.6.2
feather: None
matplotlib: 2.0.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: 0.999999999
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
pandas_gbq: None
pandas_datareader: None