Description
Code Sample, a copy-pastable example if possible
filename = "E:\\Temp\\newline_test.csv"
import pandas as pd
df1 = pd.DataFrame({"A":["test","te\nst"]})
df1.to_csv(filename,index=False)
df2 = pd.read_csv(filename)
print(df1)
print(df2)
Problem description
Take a dataframe that has a \n
-newline character in a field:
A
0 test
1 te\nst
Save it normally on Windows 10.
After reloading the \n
has been converted to \r\n
:
A
0 test
1 te\r\nst
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.6.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 79 Stepping 1, GenuineIntel
byteorder: little
LC_ALL: None
LANG: en
LOCALE: None.None
pandas: 0.23.4
pytest: 3.5.1
pip: 18.0
setuptools: 39.0.1
Cython: 0.28.4
numpy: 1.14.5
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.5.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.4
feather: None
matplotlib: 2.2.3
openpyxl: 2.5.4
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.5
lxml: 4.2.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.7
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: 0.1.5
pandas_gbq: None
pandas_datareader: None