json_normalize throws TypeError with list record_path #21605
Description
Code Sample, a copy-pastable example if possible
from pandas.io.json import json_normalize json_normalize({'A': {'B': [{'X': 1, 'Y': 2}, {'X': 3, 'Y': 4}]}}, ['A', 'B'])Note: change from json_normalize({'A': {'B': [1, 2]}}, ['A', 'B']) to distinguish from #21608
Problem description
The above code throws a TypeError:
Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Python36\lib\site-packages\pandas\io\json\normalize.py", line 257, in json_normalize _recursive_extract(data, record_path, {}, level=0) File "C:\Python36\lib\site-packages\pandas\io\json\normalize.py", line 230, in _recursive_extract seen_meta, level=level + 1) File "C:\Python36\lib\site-packages\pandas\io\json\normalize.py", line 233, in _recursive_extract recs = _pull_field(obj, path[0]) File "C:\Python36\lib\site-packages\pandas\io\json\normalize.py", line 180, in _pull_field result = result[spec] TypeError: string indices must be integers Expected Output
| X | Y | |
|---|---|---|
| 0 | 1 | 2 |
| 1 | 3 | 4 |
Output of pd.show_versions()
INSTALLED VERSIONS ------------------ commit: None python: 3.6.4.final.0 python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 62 Stepping 4, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None
pandas: 0.23.1
pytest: 3.6.1
pip: 10.0.1
setuptools: 28.8.0
Cython: None
numpy: 1.14.2
scipy: None
pyarrow: None
xarray: None
IPython: 6.3.1
sphinx: None
patsy: None
dateutil: 2.7.2
pytz: 2018.4
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None