Description
-
I have checked that this issue has not already been reported.
-
I have confirmed this bug exists on the latest version of pandas.
-
I have confirmed this bug exists on the master branch of pandas.
Reproducible Example
import pandas as pd
j = {'a': 'foo', 'b': [1, 2], 'c': None}
pd.json_normalize(j, record_path='b', meta=['a', ['c', 'e']], errors="ignore")
>>>
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/main/.local/lib/python3.9/site-packages/pandas/io/json/_normalize.py", line 504, in _json_normalize
_recursive_extract(data, record_path, {}, level=0)
File "/home/main/.local/lib/python3.9/site-packages/pandas/io/json/_normalize.py", line 492, in _recursive_extract
meta_val = _pull_field(obj, val[level:])
File "/home/main/.local/lib/python3.9/site-packages/pandas/io/json/_normalize.py", line 388, in _pull_field
result = result[field]Issue Description
When calling json_normalize with:
- a record path length of one (above succeed with longer record path)
- a nested metadata field where a non-leaf node is None
- errors="ignore"
The parsing crashes with a TypeError.
The error happens on line 388 of _normalize.py.
Expected Behavior
The missing nested metadata columns are filled with NaNs.
Installed Versions
INSTALLED VERSIONS
commit : 945c9ed
python : 3.9.7.final.0
python-bits : 64
OS : Linux
OS-release : 5.14.14-arch1-1
Version : #1 SMP PREEMPT Wed, 20 Oct 2021 21:35:18 +0000
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.3.4
numpy : 1.20.3
pytz : 2021.3
dateutil : 2.8.2
pip : 21.2.4
setuptools : 41.6.0
Cython : 0.29.24
pytest : 6.2.5
hypothesis : None
sphinx : 4.2.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.6.3
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 3.0.2
IPython : 7.19.0
pandas_datareader: None
bs4 : 4.9.3
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.4.3
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : 1.7.1
sqlalchemy : 1.4.23
tables : None
tabulate : None
xarray : None
xlrd : 2.0.1
xlwt : None
numba : 0.54.1