.read_csv() isn't reading escape characters properly

[jelther]

Code Sample, a copy-pastable example if possible

import sys
if sys.version_info[0] < 3: 
    from StringIO import StringIO
else:
    from io import StringIO

import pandas as pd
import csv

escape_char_defined = '\\'
quote_defined = '"'
separator = "|"

sample_data = []

for i in range(1,11):
    sample_data.append(i*escape_char_defined + quote_defined)

initial_df = pd.DataFrame(sample_data,columns=['column'])


csv_text = initial_df.to_csv(sep=separator,columns=None,header=None,index=False,doublequote=False,quoting=csv.QUOTE_ALL,quotechar=quote_defined,escapechar=escape_char_defined,encoding='utf-8')

csv_text = StringIO(csv_text)

final_df = pd.read_csv(csv_text,sep=separator,escapechar=escape_char_defined,quoting=csv.QUOTE_ALL,header=None,doublequote=False,encoding='utf-8')

if not final_df.equals(initial_df):
    raise Exception("Dataframes are not equal!")    

Problem description

When defining several strings with an escape char before the quotechar, the same CSV generated by pandas is not read properly when transforming back to a pandas dataframe.

Expected Output

The dataframe written should be equal to the dataframe read.

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 85 Stepping 4, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
LOCALE: None.None

pandas: 0.24.1
pytest: 3.3.2
pip: 9.0.1
setuptools: 38.4.0
Cython: 0.27.3
numpy: 1.14.0
scipy: 1.0.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.6.6
patsy: 0.5.0
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.4
feather: None
matplotlib: 2.1.2
openpyxl: 2.5.12
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml.etree: 4.1.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.1.18
pymysql: None
psycopg2: None
jinja2: 2.8.1
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None