Description
Code Sample, a copy-pastable example if possible
import pandas as pd
class ServiceMetadataClass(object):
"""Stores Metadata from Service endpoint"""
url = None
info = None
renderer = None
def __init__(self, url=None, renderer=None, original_fields=None):
self.url = url
self.renderer = renderer
self.original_fields = original_fields
###########################################################################
@pd.api.extensions.register_dataframe_accessor("service")
class ServiceAccessor(object):
_metadata = None
def __init__(self, data):
self._data = data
@property
def meta(self):
if self._metadata is None:
self._metadata = ServiceMetadataClass()
return self._metadata
Problem description
The to_pickle/from_pickle does not pickle the state of the accessor object.
Even if the __getstate__ and ___setstate__ are defined, they never get called.
Expected Output
The assert statement should be True, not False. df1's url is None, where it should be a string.
df = pd.DataFrame(data=[[1,2,3]], columns=['a', 'b', 'c'])
df.service.meta.url = "https://www.google.com"
fp = r"c:/temp/atestdata.pkl"
df.to_pickle(fp)
df1 = pd.read_pickle(fp)
assert df1.service.meta.url == df.service.meta.url #FAIL Output of pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.6.9.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252
pandas : 1.0.0
numpy : 1.16.5
pytz : 2019.3
dateutil : 2.8.1
pip : 20.0.2
setuptools : 45.1.0.post20200119
Cython : None
pytest : 5.3.5
hypothesis : None
sphinx : 2.2.1
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.5.0
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.11.1
IPython : 7.8.0
pandas_datareader: None
bs4 : 4.8.2
bottleneck : 1.3.2
fastparquet : None
gcsfs : None
lxml.etree : 4.5.0
matplotlib : 3.1.1
numexpr : 2.7.0
odfpy : None
openpyxl : 3.0.3
pandas_gbq : None
pyarrow : 0.15.1
pytables : None
pytest : 5.3.5
pyxlsb : None
s3fs : None
scipy : 1.3.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : None
numba : None