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Description
Code Sample, a copy-pastable example if possible
import pandas as pd d = {'one' : pd.Series([1, 2, 3], index=['a', 'b', 'c'])} df = pd.DataFrame(d) dados.to_clipboard(index=False, header=False, line_terminator="\r\n")Problem description
I just upgraded to pandas 0.23.0 and this code on my program broke. This is likelly related to #21104.
According to DataFrame.to_clipboard documentation, it would pass any **kwargs down to DataFrame.to_csv, which has the line_terminator argument and used to work fine.
It seems that it now uses DataFrame.to_string albeit undocumented. This function does not support the same set of arguments as DataFrame.to_csv which is bound to cause some bugs.
I get the following error:
>>> df.to_clipboard(index=False, header=False, line_terminator="\r\n") Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\u5en\ArqProg\Anaconda3\lib\site-packages\pandas\core\generic.py", line 2246, in to_clipboard clipboards.to_clipboard(self, excel=excel, sep=sep, **kwargs) File "C:\Users\u5en\ArqProg\Anaconda3\lib\site-packages\pandas\io\clipboards.py", line 117, in to_clipboard objstr = obj.to_string(**kwargs) TypeError: to_string() got an unexpected keyword argument 'line_terminator'I also note that Series.to_clipboard seems to silently ignore the line_terminator parameter, which also is not good.
Output of pd.show_versions()
[paste the output of pd.show_versions() here below this line]
INSTALLED VERSIONS
commit: None
python: 3.6.5.final.0
python-bits: 32
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 42 Stepping 7, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.23.0
pytest: 3.5.1
pip: 10.0.1
setuptools: 39.1.0
Cython: 0.28.2
numpy: 1.14.3
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 6.4.0
sphinx: 1.7.4
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.1
tables: 3.4.3
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.5.3
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.4
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: None
pandas_gbq: None
pandas_datareader: None