BUG: pd.NA doesn't pickle/unpickle faithfully (original) (raw)

Code Sample, a copy-pastable example if possible

In [5]: df['Gold Categories'].count() Out[5]: 135218

In [6]: df['Gold Categories'].isna().sum() Out[6]: 0

In [7]: df['Gold Categories'].iloc[256] Out[7]:

In [8]: pd.isna(df['Gold Categories'].iloc[256]) Out[8]: False

In [9]: type(df['Gold Categories'].iloc[256]) Out[9]: pandas._libs.missing.NAType

In [10]: pd.version Out[10]: '1.0.1'

Output of pd.show_versions()

Details

INSTALLED VERSIONS

commit : None
python : 3.7.5.final.0
python-bits : 64
OS : Linux
OS-release : 5.3.16-200.fc30.x86_64
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : nb_NO.UTF-8
LOCALE : nb_NO.UTF-8

pandas : 1.0.1
numpy : 1.17.3
pytz : 2019.3
dateutil : 2.8.0
pip : 19.3.1
setuptools : 41.6.0.post20191030
Cython : 0.29.13
pytest : 5.2.2
hypothesis : None
sphinx : 2.2.1
blosc : None
feather : None
xlsxwriter : 1.2.2
lxml.etree : 4.4.1
html5lib : 1.0.1
pymysql : None
psycopg2 : 2.8.4 (dt dec pq3 ext lo64)
jinja2 : 2.10.3
IPython : 7.9.0
pandas_datareader: None
bs4 : 4.8.1
bottleneck : 1.2.1
fastparquet : None
gcsfs : None
lxml.etree : 4.4.1
matplotlib : 2.2.3
numexpr : 2.7.0
odfpy : None
openpyxl : 3.0.0
pandas_gbq : None
pyarrow : 0.15.1
pytables : None
pytest : 5.2.2
pyxlsb : None
s3fs : None
scipy : 1.3.1
sqlalchemy : 1.3.10
tables : 3.5.2
tabulate : 0.8.5
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : 1.2.2
numba : 0.46.0