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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)
Take a dataframe that has a \n-newline character in a field:
\n
A 0 test 1 te\nst
Save it normally on Windows 10.
After reloading the \n has been converted to \r\n:
\r\n
A 0 test 1 te\r\nst
pd.show_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
The text was updated successfully, but these errors were encountered:
Maybe related to #21406
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Code Sample, a copy-pastable example if possible
Problem description
Take a dataframe that has a
\n
-newline character in a field:Save it normally on Windows 10.
After reloading the
\n
has been converted to\r\n
: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
The text was updated successfully, but these errors were encountered: