Type Error Bug Despite Using Multiple Versions of Pandas #29638
Description
I have a data set of multiple work lists for my job and I am trying to sort values before dropping duplicates, but the code below give me this error:
import pandas as pd
Disputes = Disputes.sort_values(axis=1, by=['Invoice Number', 'Report Date'], inplace = True).drop_duplicates(subset=['Invoice Number', 'Report Date'], keep=['last'])
TypeError: sort_values() got an unexpected keyword argument 'by'
I have tried to use multiple versions of Pandas to fix the issue as has been suggested by multiple posts of Stack Overflow and on Github. However, I still get the same error.
Essentially I would like to use the sort values function without getting this error so that I can focus on the rest of my projects.
Here is the output to show my version of Pandas:
INSTALLED VERSIONS
commit : None
python : 3.7.3.final.0
python-bits : 64
OS : Windows
OS-release : 10
machine : AMD64
processor : Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None
pandas : 0.25.2
numpy : 1.17.3
pytz : 2019.3
dateutil : 2.8.1
pip : 19.3.1
setuptools : 41.6.0.post20191030
Cython : 0.29.12
pytest : 5.0.1
hypothesis : None
sphinx : 2.1.2
blosc : None
feather : None
xlsxwriter : 1.1.8
lxml.etree : 4.3.4
html5lib : 1.0.1
pymysql : None
psycopg2 : None
jinja2 : 2.10.3
IPython : 7.9.0
pandas_datareader: None
bs4 : 4.8.1
bottleneck : 1.2.1
fastparquet : None
gcsfs : None
lxml.etree : 4.3.4
matplotlib : 3.1.0
numexpr : 2.6.9
odfpy : None
openpyxl : 2.6.2
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : 1.2.1
sqlalchemy : 1.3.5
tables : 3.5.2
xarray : None
xlrd : 1.2.0
xlwt : 1.3.0
xlsxwriter : 1.1.8