BUG: to_latex(filename) truncates
- [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
# Your code here
import pandas as pd
df = pd.DataFrame(
    {
        "Node": ["Atmosphere"],
        "Description": [
            "The Planetary Atmospheres Node (ATM) is responsible for the acquisition, preservation, and distribution of all non-imaging atmospheric data from NASA's planetary missions, including higher-order products derived from those data. In addition to providing user consultation, the node makes available a number of tools and services supporting researchers."
        ],
    }
)
df.to_latex('table.tex')
```
output created:
```bash
$ cat table.tex                                                                              (py39)
\begin{tabular}{lll}
\toprule
{} &        Node &                                                                                          Description \\
\midrule
0 &  Atmosphere &  The Planetary Atmospheres Node (ATM) is responsible for the acquisition, preservation, and distr... \\
\bottomrule
\end{tabular}
```

#### Problem description

According to what I have read in previous issues about `to_latex()`, it should not truncate by default for the file output (and it would be a bad API if it would).

#### Expected Output

A complete table in the output tex file.

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

<details>

INSTALLED VERSIONS
------------------
commit           : 2cb96529396d93b46abab7bbc73a208e708c642e
python           : 3.8.8.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 19.6.0
Version          : Darwin Kernel Version 19.6.0: Tue Jan 12 22:13:05 PST 2021; root:xnu-6153.141.16~1/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.2.4
numpy            : 1.20.2
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 21.1.1
setuptools       : 49.6.0.post20210108
Cython           : 0.29.23
pytest           : 6.2.4
hypothesis       : None
sphinx           : 3.5.4
blosc            : None
feather          : None
xlsxwriter       : 1.4.2
lxml.etree       : 4.6.3
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.3
IPython          : 7.23.1
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : 2021.04.0
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.2
numexpr          : 2.7.3
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : None
pyarrow          : 4.0.0
pyxlsb           : None
s3fs             : None
scipy            : 1.6.3
sqlalchemy       : None
tables           : 3.6.1
tabulate         : None
xarray           : 0.18.0
xlrd             : 2.0.1
xlwt             : 1.3.0
numba            : 0.53.1

</details>
