Series.str.get_dummies fails if one of the categorical variables is called 'name' · Issue #12180 · pandas-dev/pandas (original) (raw)

This works as expected:

s = pd.Series(['Name', 'email|Name|address', 'address|email']) s.str.get_dummies(sep='|') Name address email 0 1 0 0 1 1 1 1 2 0 1 1

However, if any of the categorical variables is named exactly 'name', then there's a problem.

s = pd.Series(['name', 'email|Name|address', 'address|email']) s.str.get_dummies(sep='|')

ValueError Traceback (most recent call last) in () ----> 1 s.str.get_dummies(sep='|')

/Users/dgrady/anaconda/envs/python3/lib/python3.5/site-packages/pandas/core/strings.py in get_dummies(self, sep) 1377 data = self._orig.astype(str) if self._is_categorical else self._data 1378 result = str_get_dummies(data, sep) -> 1379 return self._wrap_result(result, use_codes=(not self._is_categorical)) 1380 1381 @copy(str_translate)

/Users/dgrady/anaconda/envs/python3/lib/python3.5/site-packages/pandas/core/strings.py in _wrap_result(self, result, use_codes, name) 1100 if not hasattr(result, 'ndim'): 1101 return result -> 1102 name = name or getattr(result, 'name', None) or self._orig.name 1103 1104 if result.ndim == 1:

/Users/dgrady/anaconda/envs/python3/lib/python3.5/site-packages/pandas/core/generic.py in nonzero(self) 729 raise ValueError("The truth value of a {0} is ambiguous. " 730 "Use a.empty, a.bool(), a.item(), a.any() or a.all()." --> 731 .format(self.class.name)) 732 733 bool = nonzero

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

This is presumably related to the pandas/core/strings.py code in the stacktrace.

pd.show_versions()

INSTALLED VERSIONS

commit: None python: 3.5.1.final.0 python-bits: 64 OS: Darwin OS-release: 14.5.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8

pandas: 0.17.1 nose: 1.3.7 pip: 7.1.2 setuptools: 18.5 Cython: 0.23.4 numpy: 1.10.1 scipy: 0.16.0 statsmodels: 0.6.1 IPython: 4.0.1 sphinx: 1.3.1 patsy: 0.4.0 dateutil: 2.4.2 pytz: 2015.7 blosc: None bottleneck: 1.0.0 tables: 3.2.2 numexpr: 2.4.4 matplotlib: 1.5.0 openpyxl: 2.2.6 xlrd: 0.9.4 xlwt: 1.0.0 xlsxwriter: 0.7.7 lxml: 3.4.4 bs4: 4.4.1 html5lib: None httplib2: None apiclient: None sqlalchemy: 1.0.9 pymysql: None psycopg2: None Jinja2: 2.8