Use expanduser when writing dataframes to files?

[gte620v]

Code Sample, a copy-pastable example if possible

The following to_XXX do not work:

df = pd.DataFrame([[1,1],[2,2]])
df.to_pickle('~/df.pkl')
df.to_json('~/df.json')
 # etc.

Problem description

to_XXX do not work when the path argument includes a ~. This may be fine, but it is strange that dataframe reading from files does support ~. i.e. pd.read_json('~/df.json') works fine.

Expected Output

I expect to_json and friends to support expanding the home directory.

Perhaps the fix is to add expanduser to

pandas/pandas/io/common.py

Line 121 in 0d6cb3c

def _stringify_path(filepath_or_buffer):

as we have in

pandas/pandas/io/common.py

Line 229 in 0d6cb3c

return _expand_user(filepath_or_buffer), None, compression, False

Output of pd.show_versions()

INSTALLED VERSIONS ------------------ commit: None python: 3.6.6.final.0 python-bits: 64 OS: Darwin OS-release: 17.7.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8

pandas: 0.23.4
pytest: 3.9.1
pip: 9.0.1
setuptools: 40.4.1
Cython: 0.27.3
numpy: 1.15.2
scipy: 1.1.0
pyarrow: 0.10.0
xarray: None
IPython: 5.3.0
sphinx: 1.5.1
patsy: 0.4.1
dateutil: 2.7.3
pytz: 2018.5
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.5
feather: None
matplotlib: 2.2.2
openpyxl: 2.4.1
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 4.1.1
bs4: 4.5.3
html5lib: 0.9999999
sqlalchemy: 1.1.15
pymysql: None
psycopg2: 2.7.1 (dt dec pq3 ext lo64)
jinja2: 2.10
s3fs: 0.1.5
fastparquet: 0.1.3
pandas_gbq: None
pandas_datareader: None

[gfyoung]

@gte620v : I think that's a perfectly valid enhancement. Go for it!

[gte620v]

Actually, there is support in to_html, to_csv, and to_latex from #11458. I will look at adding to other write functions.