Description
Pandas version checks
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I have checked that this issue has not already been reported.
-
I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
import numpy as np
np.random.seed(123)
df = pd.DataFrame({"year1" : {0 : 4.5, 1 : 1.7, 2 : .8},
"year2" : {0 : 2.5, 1 : 1.2, 2 : .7},
"year3" : {0 : 2.6, 1 : 1.6, 2 : .6},
"year4" : {0 : 3.2, 1 : 1.3, 2 : .1},
"X" : dict(zip(range(3), np.random.randn(3)))
})
df["id"] = df.index
pd.wide_to_long(df, stubnames="year", i="id", j="year") # AttributeError: 'DataFrame' object has no attribute 'str'Issue Description
pd.wide_to_long raises an AttributeError when the parameters stubnames and j (suffix) are equal. The AttributeError does not really tell you what's the problem.
Expected Behavior
I see two potential fixes:
- Raise an AttributeError that tells you that stubnames and j can't be identical
- Make it so that stubnames and j can be identical
Installed Versions
commit : 4bfe3d0
python : 3.9.5.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19044
machine : AMD64
processor : Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United Kingdom.1252
pandas : 1.4.2
numpy : 1.21.2
pytz : 2021.3
dateutil : 2.8.2
pip : 21.1.2
setuptools : 57.0.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : None
matplotlib : 3.4.3
numba : None
numexpr : None
odfpy : None
openpyxl : 3.0.9
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.7.1
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None