-
-
Notifications
You must be signed in to change notification settings - Fork 18.6k
JSON nested_to_record Silently Drops Top-Level None Values #21356
New issue
Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? # to your account
Comments
Hi, |
@WillAyd Shouldn't this target 0.23.1? |
It really depends on whether or not you think this is a bug or breaks backwards compatibility. The change that introduced it (#20030) had the explicit intention of dropping those values. I personally would consider it a bug so am fine if we decide its better fit for 0.23.1, but don't have too strong a preference either way |
If we change our minds of what is the best solution, I would also regard it as a regression fix (although intentionally included regression ..). Let's tag it 0.23.1 |
…None Values (pandas-dev#21363) (cherry picked from commit ff26632)
Uh oh!
There was an error while loading. Please reload this page.
xref #21164 (comment)
nested_to_record
is silently droppingNone
values that appear at the top of the JSON. This is IMO unexpected and undesirable.Code Sample, a copy-pastable example if possible
Problem description
The top level
None
value should not be dropped but rather preserved along with lower levels for consistency.Expected Output
Note this will break a few tests in
pandas/test_normalize.py
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: ab6aaf7
python: 3.6.4.final.0
python-bits: 64
OS: Darwin
OS-release: 17.5.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.24.0.dev0+67.gab6aaf73a
pytest: 3.4.1
pip: 10.0.1
setuptools: 38.5.1
Cython: 0.27.3
numpy: 1.14.1
scipy: 1.0.0
pyarrow: 0.8.0
xarray: 0.10.0
IPython: 6.2.1
sphinx: 1.7.0
patsy: 0.5.0
dateutil: 2.6.1
pytz: 2018.3
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.4
feather: 0.4.0
matplotlib: 2.1.2
openpyxl: 2.5.0
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml: 4.1.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.5
pymysql: 0.8.0
psycopg2: 2.7.4 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: 0.1.3
fastparquet: 0.1.4
pandas_gbq: 0.4.1
pandas_datareader: None
The text was updated successfully, but these errors were encountered: