Description
Code Sample, a copy-pastable example if possible
import pandas as pd
test = pd.Series(pd.period_range('1/1/2011', freq='B', periods=3))
test.to_json(None, orient='table')Leads to:
~/miniconda3/envs/qgrid/lib/python3.7/site-packages/pandas/core/generic.py in to_json(self, path_or_buf, orient, date_format, double_precision, force_ascii, date_unit, default_handler, lines, compression, index, indent)
2362 compression=compression,
2363 index=index,
-> 2364 indent=indent,
2365 )
2366
~/miniconda3/envs/qgrid/lib/python3.7/site-packages/pandas/io/json/_json.py in to_json(path_or_buf, obj, orient, date_format, double_precision, force_ascii, date_unit, default_handler, lines, compression, index, indent)
83 default_handler=default_handler,
84 index=index,
---> 85 indent=indent,
86 ).write()
87
~/miniconda3/envs/qgrid/lib/python3.7/site-packages/pandas/io/json/_json.py in __init__(self, obj, orient, date_format, double_precision, ensure_ascii, date_unit, index, default_handler, indent)
289 raise ValueError(msg)
290
--> 291 self.schema = build_table_schema(obj, index=self.index)
292
293 # NotImplemented on a column MultiIndex
~/miniconda3/envs/qgrid/lib/python3.7/site-packages/pandas/io/json/_table_schema.py in build_table_schema(data, index, primary_key, version)
251 if data.ndim > 1:
252 for column, s in data.items():
--> 253 fields.append(convert_pandas_type_to_json_field(s))
254 else:
255 fields.append(convert_pandas_type_to_json_field(data))
~/miniconda3/envs/qgrid/lib/python3.7/site-packages/pandas/io/json/_table_schema.py in convert_pandas_type_to_json_field(arr, dtype)
115 field["ordered"] = ordered
116 elif is_period_dtype(arr):
--> 117 field["freq"] = arr.freqstr
118 elif is_datetime64tz_dtype(arr):
119 if hasattr(arr, "dt"):
~/miniconda3/envs/qgrid/lib/python3.7/site-packages/pandas/core/generic.py in __getattr__(self, name)
5272 if self._info_axis._can_hold_identifiers_and_holds_name(name):
5273 return self[name]
-> 5274 return object.__getattribute__(self, name)
5275
5276 def __setattr__(self, name: str, value) -> None:
AttributeError: 'Series' object has no attribute 'freqstr'
This issue also crops up in dataframes where a column is a period Series and orient='table'.
Problem description
I can't find anything that says this would be unsupported.
Expected Output
Json string of series representation.
Output of pd.show_versions()
pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.6.final.0
python-bits : 64
OS : Darwin
OS-release : 18.7.0
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.0.1
numpy : 1.18.1
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 45.2.0.post20200210
Cython : None
pytest : 5.3.5
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.1
IPython : 7.12.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pytest : 5.3.5
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : None