BUG: Segmentation faults in pd.read_csv for large files
- [x] I have checked that this issue has not already been reported.

- [x] I have confirmed this bug exists on the latest version of pandas.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

---

#### Code Sample, a copy-pastable example

```python
import numpy as np
import pandas as pd

def from_file(filepath):
    name_hints = []
    name_hints.extend(['m1','m2','a0','e0'])
    name_hints.extend(['weight','evolution_age','rejuvenation_age'])

    df = pd.read_csv(filepath,
                     nrows=None,
                     names=name_hints,
                     sep=r'\s+',
                     engine='python',
                     dtype=np.float64)

    return df

df = from_file('data/big_data_set.dat.gz')
```

#### Problem description

When loading sufficiently big files (mine are >800 MB on average), `pd.read_csv` fails with a Bus Error. I am loading in `.gz` files as I believe pandas is able to decompress these automatically.

I cannot reproduce this with a smaller dataset (have tried on files with ~364,000 lines). I have run this code with `gdb` and obtain the following stack trace:

<details>
Thread 0x00002aaab53d0700 (most recent call first):
  File "/opt/nesi/CS400_centos7_bdw/Python/3.8.2-gimkl-2020a/lib/python3.8/threading.py", line 306 in wait
  File "/opt/nesi/CS400_centos7_bdw/Python/3.8.2-gimkl-2020a/lib/python3.8/threading.py", line 558 in wait
  File "/home/sric560/.local/lib/python3.8/site-packages/tqdm/_monitor.py", line 69 in run
  File "/opt/nesi/CS400_centos7_bdw/Python/3.8.2-gimkl-2020a/lib/python3.8/threading.py", line 932 in _bootstrap_inner
  File "/opt/nesi/CS400_centos7_bdw/Python/3.8.2-gimkl-2020a/lib/python3.8/threading.py", line 890 in _bootstrap

Current thread 0x00002aaaaaaea9c0 (most recent call first):
  File "/home/sric560/.local/lib/python3.8/site-packages/pandas/io/parsers.py", line 1763 in _infer_types
  File "/home/sric560/.local/lib/python3.8/site-packages/pandas/io/parsers.py", line 1708 in _convert_to_ndarrays
  File "/home/sric560/.local/lib/python3.8/site-packages/pandas/io/parsers.py", line 2528 in _convert_data
  File "/home/sric560/.local/lib/python3.8/site-packages/pandas/io/parsers.py", line 2464 in read
  File "/home/sric560/.local/lib/python3.8/site-packages/pandas/io/parsers.py", line 1133 in read
  File "/home/sric560/.local/lib/python3.8/site-packages/pandas/io/parsers.py", line 454 in _read
  File "/home/sric560/.local/lib/python3.8/site-packages/pandas/io/parsers.py", line 676 in parser_f
  File "/scale_wlg_persistent/filesets/home/sric560/masters/takahe/takahe/load.py", line 14 in from_file
  File "/scale_wlg_persistent/filesets/home/sric560/masters/takahe/takahe/load.py", line 35 in from_directory
/var/spool/slurm/job13442044/slurm_script: line 10: 67748 Segmentation fault      (core dumped) gdb -ex r --args python BigData.py
  File "BigData.py", line 11 in <module>
</details>

#### Expected Output

I would expect the data to be read successfully.

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.8.2.final.0
python-bits      : 64
OS               : Linux
OS-release       : 3.10.0-693.2.2.el7.x86_64
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_NZ.UTF-8
LOCALE           : en_NZ.UTF-8

pandas           : 1.0.5
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 19.2.3
setuptools       : 45.2.0
Cython           : 0.29.15
pytest           : 5.3.5
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.5.0
html5lib         : None
pymysql          : None
psycopg2         : 2.8.4 (dt dec pq3 ext lo64)
jinja2           : 2.11.1
IPython          : 7.13.0
pandas_datareader: None
bs4              : None
bottleneck       : 1.3.1
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.5.0
matplotlib       : 3.1.3
numexpr          : 2.7.1
odfpy            : None
openpyxl         : 3.0.3
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : 5.3.5
pyxlsb           : None
s3fs             : None
scipy            : 1.4.1
sqlalchemy       : 1.3.13
tables           : None
tabulate         : 0.8.6
xarray           : 0.15.0
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None
numba            : 0.48.0

</details>
