Inconsistent error where looking for label of wrong type #21567
Labels
Error Reporting
Incorrect or improved errors from pandas
Indexing
Related to indexing on series/frames, not to indexes themselves
Milestone
Code Sample, a copy-pastable example if possible
Problem description
1
and1.0
are invalid keys in exactly the same way. So they should raise the same error (and the wrong error is theValueError
, becausepd.Series(-1, index=['a', 1]).loc[1]
works just fine, which means that it's not a matter of type of key/index).Closely related to #19456. Also related to #17569.
Expected Output
The same
KeyError
.Output of
pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-6-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: en_GB.UTF-8
pandas: 0.24.0.dev0+26.gbe90d4928
pytest: 3.0.6
pip: 9.0.1
setuptools: 33.1.1
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.18.1
pyarrow: None
xarray: None
IPython: 5.2.2
sphinx: None
patsy: 0.4.1+dev
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: 1.2.0
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.0.0
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: None
lxml: 3.7.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.8
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
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