pd.read_json() leads to a segmentation fault
#### Code Sample

The following code leads to either a segmentation fault or a bus error:
```python
def load_dataframe(name):
    ...
    df_json = db.dataframes.find_one({"_id": name})["df"]
    df = pd.read_json(df_json)
    return df
```

But the following workaround fixes it:
```python
def load_dataframe(name):
    ...
    df_json = db.dataframes.find_one({"_id": name})["df"]
    df = pd.DataFrame().from_dict(json.loads(df_json))
    return df
```

#### Problem description
I am storing several jsonified dataframes in MongoDB. Trying to go straight from the json to the dataframe leads to either a segmentation fault or a bus error. I am storying several dataframes, but confusingly it only happens with one dataframe and not the others. The problem dataframe is identical in nature to other dataframes (same column names and data types). Unfortunately, it's not shareable but happy to answer any questions I can.

#### Output of ``pd.show_versions()``
 Note: I am using the latest pandas, 1.0.1. I downgraded to pandas 0.25.3 and had the same issue.

<details>
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.7.0.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 17.7.0
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.0.1
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 45.1.0
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.1
IPython          : 7.11.1
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : 3.1.3
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : None
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
xlsxwriter       : None
numba            : None
</details>
