Converting Series to categorical (original) (raw)

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) in () ----> 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