to_json raises 'Unhandled numpy dtype 15' with complex values. · Issue #12554 · pandas-dev/pandas (original) (raw)
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RuntimeError Traceback (most recent call last)
<ipython-input-3-b53888fd1707> in <module>()
----> 1 df.to_json()
.../lib/python2.7/site-packages/pandas/core/generic.pyc in to_json(self, path_or_buf, orient, date_format, double_precision, force_ascii, date_unit, default_handler)
892 force_ascii=force_ascii,
893 date_unit=date_unit,
--> 894 default_handler=default_handler)
895
896 def to_hdf(self, path_or_buf, key, **kwargs):
.../lib/python2.7/site-packages/pandas/io/json.pyc in to_json(path_or_buf, obj, orient, date_format, double_precision, force_ascii, date_unit, default_handler)
33 obj, orient=orient, date_format=date_format,
34 double_precision=double_precision, ensure_ascii=force_ascii,
---> 35 date_unit=date_unit, default_handler=default_handler).write()
36 else:
37 raise NotImplementedError("'obj' should be a Series or a DataFrame")
.../lib/python2.7/site-packages/pandas/io/json.pyc in write(self)
76 date_unit=self.date_unit,
77 iso_dates=self.date_format == 'iso',
---> 78 default_handler=self.default_handler)
79
80
RuntimeError: Unhandled numpy dtype 15
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.11.final.0
python-bits: 64
OS: Darwin
OS-release: 15.0.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
pandas: 0.17.1
nose: 1.3.7
pip: 8.0.3
setuptools: 19.7
Cython: 0.23.4
numpy: 1.8.2
scipy: 0.15.1
statsmodels: 0.6.1
IPython: 4.0.1
sphinx: 1.3.3
patsy: 0.4.1
dateutil: 2.4.2
pytz: 2015.7
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.4.3
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
Jinja2: None