Closed
Description
pandas documentation states that the read_spss function can take either strings or pathlih.Path as input. It probably has something to do with pyreadstat.read_sav.
Example:
>>> import pandas as pd
>>> from pathlib import Path
>>> filepath = Path("Documents/test.sav")
>>> pd.read_spss(filepath)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/user/anaconda3/envs/env/lib/python3.7/site-packages/pandas/io/spss.py", line 43, in read_spss
path, usecols=usecols, apply_value_formats=convert_categoricals
TypeError: Argument 'filename_path' has incorrect type (expected str, got PosixPath)Libraries versions:
INSTALLED VERSIONS
------------------
commit : None
python : 3.7.7.final.0
python-bits : 64
OS : Linux
OS-release : 5.0.0-32-generic
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.0.3
numpy : 1.18.3
pytz : 2019.3
dateutil : 2.8.1
pip : 19.0.3
setuptools : 46.1.3.post20200330
Cython : None
pytest : 4.3.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.13.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.0.3
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pytest : 4.3.1
pyxlsb : None
s3fs : None
scipy : 1.2.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
numba : None