BUG: drop(level=.) doesn't raise if label is absent #18561
Labels
Error Reporting
Incorrect or improved errors from pandas
good first issue
MultiIndex
Needs Tests
Unit test(s) needed to prevent regressions
Reshaping
Concat, Merge/Join, Stack/Unstack, Explode
Milestone
Code Sample, a copy-pastable example if possible
Problem description
Since one expects
drop()
to always raise an error if the requested label is not found, this can be misleading.It is not even a matter of partial vs. full labels, since the first example above has a partial label.
Expected Output
The same.
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: 2a0e54b
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-4-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.UTF-8
LOCALE: it_IT.UTF-8
pandas: 0.22.0.dev0+251.g2a0e54bc8.dirty
pytest: 3.2.3
pip: 9.0.1
setuptools: 36.7.0
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.0dev
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.0.0
openpyxl: None
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.6
lxml: None
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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