crash when calling DataFrame.from_records

[glyg]

Code Sample, a copy-pastable example if possible

# each line of `data` is a list containing a single dict
data = pd.Series([[{"a": 1, "b": 2}], [{"a": 3, "b": 4}]])
crash = pd.DataFrame.from_records(data)

Problem description

The above code results in a crash of the jupyter kernel

Expected Output

crash should be a DataFrame

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.7.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.15.0-54-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: fr_FR.UTF-8
LOCALE: fr_FR.UTF-8

pandas: 0.24.2
pytest: 5.0.0
pip: 19.0.3
setuptools: 41.0.0
Cython: None
numpy: 1.16.4
scipy: None
pyarrow: None
xarray: None
IPython: 7.6.1
sphinx: None
patsy: None
dateutil: 2.8.0
pytz: 2019.1
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 3.1.0
openpyxl: None
xlrd: 1.2.0
xlwt: None
xlsxwriter: None
lxml.etree: None
bs4: None
html5lib: None
sqlalchemy: 1.3.5
pymysql: None
psycopg2: None
jinja2: 2.10.1
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None

[WillAyd]

Are you getting a traceback?

[jreback]

this is fine on master

[glyg]

no traceback, jupyter crashes (on various machines). If it's fine on master, I can close this (maybe you want me to add a test). In a IPython REPL with the same version of pandas, IPython segfaults

[glyg]

confirmed the crash doesn't happen in master and wrote test