Description
Code Sample, a copy-pastable example if possible
In [2]: df = pd.DataFrame(-1, index=['i', 'ii', 'iii'], columns=pd.MultiIndex.from_tuples([['A', 'a'], ['B', 'b']]))
In [3]: df.loc[1:, 'A'] = ''
In [4]: df
Out[4]:
A B
a b
i -1 -1
ii -1
iii -1
In [5]: df.loc[1:, 'A']
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-5-98b6153a5b09> in <module>()
----> 1 df.loc[1:, 'A']
/home/pietro/nobackup/repo/pandas/pandas/core/indexing.py in __getitem__(self, key)
1322 except (KeyError, IndexError):
948
949 # we maybe be using a tuple to represent multiple dimensions here
/home/pietro/nobackup/repo/pandas/pandas/core/indexing.py in _getitem_nested_tuple(self, tup)
1020
1021 current_ndim = obj.ndim
-> 1022 obj = getattr(obj, self.name)._getitem_axis(key, axis=axis)
1023 axis += 1
1024
/home/pietro/nobackup/repo/pandas/pandas/core/indexing.py in _getitem_axis(self, key, axis)
1503 if isinstance(key, slice):
1504 self._has_valid_type(key, axis)
-> 1505 return self._get_slice_axis(key, axis=axis)
1506 elif is_bool_indexer(key):
1507 return self._getbool_axis(key, axis=axis)
/home/pietro/nobackup/repo/pandas/pandas/core/indexing.py in _get_slice_axis(self, slice_obj, axis)
1353 labels = obj._get_axis(axis)
1354 indexer = labels.slice_indexer(slice_obj.start, slice_obj.stop,
-> 1355 slice_obj.step, kind=self.name)
1356
1357 if isinstance(indexer, slice):
/home/pietro/nobackup/repo/pandas/pandas/indexes/base.py in slice_indexer(self, start, end, step, kind)
3247 """
3248 start_slice, end_slice = self.slice_locs(start, end, step=step,
-> 3249 kind=kind)
3250
3251 # return a slice
/home/pietro/nobackup/repo/pandas/pandas/indexes/base.py in slice_locs(self, start, end, step, kind)
3428 start_slice = None
3429 if start is not None:
-> 3430 start_slice = self.get_slice_bound(start, 'left', kind)
3431 if start_slice is None:
3432 start_slice = 0
/home/pietro/nobackup/repo/pandas/pandas/indexes/base.py in get_slice_bound(self, label, side, kind)
3367 # For datetime indices label may be a string that has to be converted
3368 # to datetime boundary according to its resolution.
-> 3369 label = self._maybe_cast_slice_bound(label, side, kind)
3370
3371 # we need to look up the label
/home/pietro/nobackup/repo/pandas/pandas/indexes/base.py in _maybe_cast_slice_bound(self, label, side, kind)
3325 # this is rejected (generally .loc gets you here)
3326 elif is_integer(label):
-> 3327 self._invalid_indexer('slice', label)
3328
3329 return label
/home/pietro/nobackup/repo/pandas/pandas/indexes/base.py in _invalid_indexer(self, form, key)
1447 "indexers [{key}] of {kind}".format(
1448 form=form, klass=type(self), key=key,
-> 1449 kind=type(key)))
1450
1451 def get_duplicates(self):
TypeError: cannot do slice indexing on <class 'pandas.indexes.base.Index'> with these indexers [1] of <class 'int'>Problem description
In[3]: should already raise an error (unless the label 1 is compared against the labels in the index, in which case it should certainly be smaller or larger than each of them).
Expected Output
An error
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 3.16.0-4-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
LOCALE: en_GB.UTF-8
pandas: 0.19.0+783.gcd35d22a0
pytest: 3.0.6
pip: 1.5.6
setuptools: 5.5.1
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.18.1
xarray: None
IPython: 5.2.2
sphinx: None
patsy: 0.4.1+dev
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: None
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.0.0
openpyxl: 2.3.0
xlrd: 0.9.2
xlwt: 1.2.0
xlsxwriter: None
lxml: 3.7.1
bs4: None
html5lib: 0.999
sqlalchemy: 0.9.8
pymysql: None
psycopg2: None
jinja2: 2.7.3
s3fs: None
pandas_gbq: None
pandas_datareader: None