Pandas: index set operations #2
Description
Hi.
I'm currently working through your Python Fundamentals course, and I came across a problem in the Pandas chapter.
In notebook https://github.com/fbaptiste/python-fundamentals/blob/main/30%20-%20Pandas/02%20-%20Indexes/Indexes.ipynb :
idx_1 = pd.Index(['a', 'b', 'c'])
idx_2 = pd.Index(['c', 'd', 'e'])
idx_1 & idx_2
Index(['c'], dtype='object')
idx_1 | idx_2
Index(['a', 'b', 'c', 'd', 'e'], dtype='object')
However, when I try those, I get an error.
idx_1 & idx_2
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/ops/array_ops.py:362, in na_logical_op(x, y, op)
353 try:
354 # For exposition, write:
355 # yarr = isinstance(y, np.ndarray)
(...) 360 # Then Cases where this goes through without raising include:
361 # (xint or xbool) and (yint or bool)
--> 362 result = op(x, y)
363 except TypeError:
TypeError: unsupported operand type(s) for &: 'str' and 'str'
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
Cell In[6], line 1
----> 1 idx_1 & idx_2
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/ops/common.py:76, in _unpack_zerodim_and_defer.<locals>.new_method(self, other)
72 return NotImplemented
74 other = item_from_zerodim(other)
---> 76 return method(self, other)
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/arraylike.py:70, in OpsMixin.__and__(self, other)
68 @unpack_zerodim_and_defer("__and__")
69 def __and__(self, other):
---> 70 return self._logical_method(other, operator.and_)
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/indexes/base.py:7215, in Index._logical_method(self, other, op)
7212 lvalues = self._values
7213 rvalues = extract_array(other, extract_numpy=True, extract_range=True)
-> 7215 res_values = ops.logical_op(lvalues, rvalues, op)
7216 return self._construct_result(res_values, name=res_name)
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/ops/array_ops.py:454, in logical_op(left, right, op)
450 else:
451 # i.e. scalar
452 is_other_int_dtype = lib.is_integer(rvalues)
--> 454 res_values = na_logical_op(lvalues, rvalues, op)
456 # For int vs int `^`, `|`, `&` are bitwise operators and return
457 # integer dtypes. Otherwise these are boolean ops
458 if not (left.dtype.kind in "iu" and is_other_int_dtype):
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/ops/array_ops.py:369, in na_logical_op(x, y, op)
367 x = ensure_object(x)
368 y = ensure_object(y)
--> 369 result = libops.vec_binop(x.ravel(), y.ravel(), op)
370 else:
371 # let null fall thru
372 assert lib.is_scalar(y)
File ops.pyx:252, in pandas._libs.ops.vec_binop()
File ops.pyx:245, in pandas._libs.ops.vec_binop()
TypeError: unsupported operand type(s) for &: 'str' and 'str'
idx_1 | idx_2
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/ops/array_ops.py:362, in na_logical_op(x, y, op)
353 try:
354 # For exposition, write:
355 # yarr = isinstance(y, np.ndarray)
(...) 360 # Then Cases where this goes through without raising include:
361 # (xint or xbool) and (yint or bool)
--> 362 result = op(x, y)
363 except TypeError:
TypeError: unsupported operand type(s) for |: 'str' and 'str'
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
Cell In[7], line 1
----> 1 idx_1 | idx_2
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/ops/common.py:76, in _unpack_zerodim_and_defer.<locals>.new_method(self, other)
72 return NotImplemented
74 other = item_from_zerodim(other)
---> 76 return method(self, other)
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/arraylike.py:78, in OpsMixin.__or__(self, other)
76 @unpack_zerodim_and_defer("__or__")
77 def __or__(self, other):
---> 78 return self._logical_method(other, operator.or_)
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/indexes/base.py:7215, in Index._logical_method(self, other, op)
7212 lvalues = self._values
7213 rvalues = extract_array(other, extract_numpy=True, extract_range=True)
-> 7215 res_values = ops.logical_op(lvalues, rvalues, op)
7216 return self._construct_result(res_values, name=res_name)
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/ops/array_ops.py:454, in logical_op(left, right, op)
450 else:
451 # i.e. scalar
452 is_other_int_dtype = lib.is_integer(rvalues)
--> 454 res_values = na_logical_op(lvalues, rvalues, op)
456 # For int vs int `^`, `|`, `&` are bitwise operators and return
457 # integer dtypes. Otherwise these are boolean ops
458 if not (left.dtype.kind in "iu" and is_other_int_dtype):
File /home/user/python-udemy-course/poligon/02/srodowisko/lib/python3.13/site-packages/pandas/core/ops/array_ops.py:369, in na_logical_op(x, y, op)
367 x = ensure_object(x)
368 y = ensure_object(y)
--> 369 result = libops.vec_binop(x.ravel(), y.ravel(), op)
370 else:
371 # let null fall thru
372 assert lib.is_scalar(y)
File ops.pyx:252, in pandas._libs.ops.vec_binop()
File ops.pyx:245, in pandas._libs.ops.vec_binop()
TypeError: unsupported operand type(s) for |: 'str' and 'str'
both in the Jupyter notebook and on the bare Python.
On the other hand there are methods pandas.Index.intersection and pandas.Index.union, which are working fine:
>>> idx_1.union(idx_2)
Index(['a', 'b', 'c', 'd', 'e'], dtype='object')
>>> idx_1.intersection(idx_2)
Index(['c'], dtype='object')
Maybe something changed in Python and/or in Pandas?
I'm using Python 3.13.5 and Pandas Version: 2.2.3