Wrong "Too many indexers" error asking for missing key in Series MultiIndex #21168
Labels
Error Reporting
Incorrect or improved errors from pandas
Indexing
Related to indexing on series/frames, not to indexes themselves
MultiIndex
Needs Tests
Unit test(s) needed to prevent regressions
Milestone
Code Sample, a copy-pastable example if possible
Problem description
The second error is correct, the first is wrong. Might be related to #20951, which however is easier to explain given that it happens on a DataFrame, where there is the axis/level ambiguity.
Expected Output
KeyError: 'the label [3] is not in the [index]'
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: 1288e52
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: it_IT.UTF-8
LOCALE: it_IT.UTF-8
pandas: 0.24.0.dev0+23.g1288e5269
pytest: 3.5.0
pip: 9.0.1
setuptools: 39.0.1
Cython: 0.25.2
numpy: 1.14.3
scipy: 0.19.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.5.6
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.0dev
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: 1.3.0
xlsxwriter: 0.9.6
lxml: 4.1.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.2.1
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