BUG: DataFrame.drop fails when there is a multiIndex without any level provided · Issue #36293 · pandas-dev/pandas (original) (raw)

Code Sample, a copy-pastable example

x = pd.DataFrame({"a": range(10), "b": range(10, 20), "d": ["a", "v"] * 5}, index=pd.MultiIndex(levels=[['lama', 'cow', 'falcon'], ... ['speed', 'weight', 'length']], ... codes=[[0, 0, 0, 1, 1, 1, 2, 2, 2, 1], ... [0, 1, 2, 0, 1, 2, 0, 1, 2, 1]])) x a b d lama speed 0 10 a weight 1 11 v length 2 12 a cow speed 3 13 v weight 4 14 a length 5 15 v falcon speed 6 16 a weight 7 17 v length 8 18 a cow weight 9 19 v x.drop(index='cow') Traceback (most recent call last): File "", line 1, in File "/Users/pgali/PycharmProjects/del/venv1/lib/python3.7/site-packages/pandas/core/frame.py", line 4169, in drop errors=errors, File "/Users/pgali/PycharmProjects/del/venv1/lib/python3.7/site-packages/pandas/core/generic.py", line 3884, in drop obj = obj._drop_axis(labels, axis, level=level, errors=errors) File "/Users/pgali/PycharmProjects/del/venv1/lib/python3.7/site-packages/pandas/core/generic.py", line 3933, in _drop_axis indexer = ~axis.isin(labels) File "/Users/pgali/PycharmProjects/del/venv1/lib/python3.7/site-packages/pandas/core/indexes/multi.py", line 3600, in isin values = MultiIndex.from_tuples(values, names=self.names)._values File "/Users/pgali/PycharmProjects/del/venv1/lib/python3.7/site-packages/pandas/core/indexes/multi.py", line 501, in from_tuples arrays = list(lib.tuples_to_object_array(tuples).T) File "pandas/_libs/lib.pyx", line 2471, in pandas._libs.lib.tuples_to_object_array TypeError: Expected tuple, got str

Problem description

I'd expected drop to drop all the rows with cow as an index.

Expected Output

x.drop(index='cow') a b d lama speed 0 10 a weight 1 11 v length 2 12 a falcon speed 6 16 a weight 7 17 v length 8 18 a

Output of pd.show_versions()

INSTALLED VERSIONS

commit : 2a7d332
python : 3.7.3.final.0
python-bits : 64
OS : Darwin
OS-release : 19.6.0
Version : Darwin Kernel Version 19.6.0: Thu Jun 18 20:49:00 PDT 2020; root:xnu-6153.141.1~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : en_US.UTF-8
pandas : 1.1.2
numpy : 1.17.3
pytz : 2020.1
dateutil : 2.8.1
pip : 20.1.1
setuptools : 49.1.0
Cython : None
pytest : None
hypothesis : 5.29.0
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None