Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
s = pd.DataFrame([["A"], ["B"], ["C"]], dtype="string")
s.iloc[[0, 1], :] = [None, None]
Issue Description
On the latest pandas source code (version 1.5.0.dev0+122.gb4e578db85) I get a NotImplementedError
:
Stack trace
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Input In [9], in <module>
----> 1 s.iloc[[0, 1], :] = [None, None]
File ~/pandas/pandas/core/indexing.py:731, in _LocationIndexer.__setitem__(self, key, value)
728 self._has_valid_setitem_indexer(key)
730 iloc = self if self.name == "iloc" else self.obj.iloc
--> 731 iloc._setitem_with_indexer(indexer, value, self.name)
File ~/pandas/pandas/core/indexing.py:1704, in _iLocIndexer._setitem_with_indexer(self, indexer, value, name)
1702 self._setitem_with_indexer_split_path(indexer, value, name)
1703 else:
-> 1704 self._setitem_single_block(indexer, value, name)
File ~/pandas/pandas/core/indexing.py:1952, in _iLocIndexer._setitem_single_block(self, indexer, value, name)
1949 self.obj._check_is_chained_assignment_possible()
1951 # actually do the set
-> 1952 self.obj._mgr = self.obj._mgr.setitem(indexer=indexer, value=value)
1953 self.obj._maybe_update_cacher(clear=True, inplace=True)
File ~/pandas/pandas/core/internals/managers.py:337, in BaseBlockManager.setitem(self, indexer, value)
331 def setitem(self: T, indexer, value) -> T:
332 """
333 Set values with indexer.
334
335 For SingleBlockManager, this backs s[indexer] = value
336 """
--> 337 return self.apply("setitem", indexer=indexer, value=value)
File ~/pandas/pandas/core/internals/managers.py:304, in BaseBlockManager.apply(self, f, align_keys, ignore_failures, **kwargs)
302 applied = b.apply(f, **kwargs)
303 else:
--> 304 applied = getattr(b, f)(**kwargs)
305 except (TypeError, NotImplementedError):
306 if not ignore_failures:
File ~/pandas/pandas/core/internals/blocks.py:1394, in EABackedBlock.setitem(self, indexer, value)
1391 nb = self.coerce_to_target_dtype(value)
1392 return nb.setitem(indexer, value)
-> 1394 indexer = self._unwrap_setitem_indexer(indexer)
1395 value = self._maybe_squeeze_arg(value)
1397 values = self.values
File ~/pandas/pandas/core/internals/blocks.py:1652, in ExtensionBlock._unwrap_setitem_indexer(self, indexer)
1650 indexer = indexer[0]
1651 else:
-> 1652 raise NotImplementedError(
1653 "This should not be reached. Please report a bug at "
1654 "github.com/pandas-dev/pandas/"
1655 )
1656 return indexer
NotImplementedError: This should not be reached. Please report a bug at github.com/pandas-dev/pandas/
On the latest pandas release candidate (version 1.4.0rc0) I get a ValueError
:
Stack trace
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [1], in <module>
1 import pandas as pd
3 s = pd.DataFrame([["A"], ["B"], ["C"]], dtype="string")
----> 4 s.iloc[[0, 1], :] = [None, None]
File /usr/local/lib/python3.9/site-packages/pandas/core/indexing.py:715, in _LocationIndexer.__setitem__(self, key, value)
712 self._has_valid_setitem_indexer(key)
714 iloc = self if self.name == "iloc" else self.obj.iloc
--> 715 iloc._setitem_with_indexer(indexer, value, self.name)
File /usr/local/lib/python3.9/site-packages/pandas/core/indexing.py:1689, in _iLocIndexer._setitem_with_indexer(self, indexer, value, name)
1687 self._setitem_with_indexer_split_path(indexer, value, name)
1688 else:
-> 1689 self._setitem_single_block(indexer, value, name)
File /usr/local/lib/python3.9/site-packages/pandas/core/indexing.py:1937, in _iLocIndexer._setitem_single_block(self, indexer, value, name)
1934 self.obj._check_is_chained_assignment_possible()
1936 # actually do the set
-> 1937 self.obj._mgr = self.obj._mgr.setitem(indexer=indexer, value=value)
1938 self.obj._maybe_update_cacher(clear=True, inplace=True)
File /usr/local/lib/python3.9/site-packages/pandas/core/internals/managers.py:337, in BaseBlockManager.setitem(self, indexer, value)
331 def setitem(self: T, indexer, value) -> T:
332 """
333 Set values with indexer.
334
335 For SingleBlockManager, this backs s[indexer] = value
336 """
--> 337 return self.apply("setitem", indexer=indexer, value=value)
File /usr/local/lib/python3.9/site-packages/pandas/core/internals/managers.py:304, in BaseBlockManager.apply(self, f, align_keys, ignore_failures, **kwargs)
302 applied = b.apply(f, **kwargs)
303 else:
--> 304 applied = getattr(b, f)(**kwargs)
305 except (TypeError, NotImplementedError):
306 if not ignore_failures:
File /usr/local/lib/python3.9/site-packages/pandas/core/internals/blocks.py:1595, in ExtensionBlock.setitem(self, indexer, value)
1592 value = value._ixs(0, axis=1)._values
1594 check_setitem_lengths(indexer, value, self.values)
-> 1595 self.values[indexer] = value
1596 return self
File /usr/local/lib/python3.9/site-packages/pandas/core/arrays/string_.py:412, in StringArray.__setitem__(self, key, value)
410 value = np.asarray(value, dtype=object)
411 if len(value) and not lib.is_string_array(value, skipna=True):
--> 412 raise ValueError("Must provide strings.")
414 super().__setitem__(key, value)
ValueError: Must provide strings.
On the version of pandas that I was using when I found this bug (version 1.3.5) I get a ValueError
:
Stack trace
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Input In [1], in <module>
1 import pandas as pd
3 s = pd.DataFrame([["A"], ["B"], ["C"]], dtype="string")
----> 4 s.iloc[[0, 1], :] = [None, None]
File /usr/local/lib/python3.9/site-packages/pandas/core/indexing.py:723, in _LocationIndexer.__setitem__(self, key, value)
720 self._has_valid_setitem_indexer(key)
722 iloc = self if self.name == "iloc" else self.obj.iloc
--> 723 iloc._setitem_with_indexer(indexer, value, self.name)
File /usr/local/lib/python3.9/site-packages/pandas/core/indexing.py:1732, in _iLocIndexer._setitem_with_indexer(self, indexer, value, name)
1730 self._setitem_with_indexer_split_path(indexer, value, name)
1731 else:
-> 1732 self._setitem_single_block(indexer, value, name)
File /usr/local/lib/python3.9/site-packages/pandas/core/indexing.py:1968, in _iLocIndexer._setitem_single_block(self, indexer, value, name)
1965 self.obj._check_is_chained_assignment_possible()
1967 # actually do the set
-> 1968 self.obj._mgr = self.obj._mgr.setitem(indexer=indexer, value=value)
1969 self.obj._maybe_update_cacher(clear=True)
File /usr/local/lib/python3.9/site-packages/pandas/core/internals/managers.py:355, in BaseBlockManager.setitem(self, indexer, value)
354 def setitem(self: T, indexer, value) -> T:
--> 355 return self.apply("setitem", indexer=indexer, value=value)
File /usr/local/lib/python3.9/site-packages/pandas/core/internals/managers.py:327, in BaseBlockManager.apply(self, f, align_keys, ignore_failures, **kwargs)
325 applied = b.apply(f, **kwargs)
326 else:
--> 327 applied = getattr(b, f)(**kwargs)
328 except (TypeError, NotImplementedError):
329 if not ignore_failures:
File /usr/local/lib/python3.9/site-packages/pandas/core/internals/blocks.py:1491, in ExtensionBlock.setitem(self, indexer, value)
1488 indexer = indexer[0]
1490 check_setitem_lengths(indexer, value, self.values)
-> 1491 self.values[indexer] = value
1492 return self
File /usr/local/lib/python3.9/site-packages/pandas/core/arrays/string_.py:413, in StringArray.__setitem__(self, key, value)
411 value = np.asarray(value, dtype=object)
412 if len(value) and not lib.is_string_array(value, skipna=True):
--> 413 raise ValueError("Must provide strings.")
415 super().__setitem__(key, value)
ValueError: Must provide strings.
Expected Behavior
After the code example above, s
should be missing entries for the first two rows, so it should look like:
0
0 <NA>
1 <NA>
2 C
Installed Versions
INSTALLED VERSIONS
commit : 66e3805
python : 3.9.9.final.0
python-bits : 64
OS : Darwin
OS-release : 20.6.0
Version : Darwin Kernel Version 20.6.0: Wed Jun 23 00:26:31 PDT 2021; root:xnu-7195.141.2~5/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.3.5
numpy : 1.22.1
pytz : 2021.3
dateutil : 2.8.2
pip : 21.3.1
setuptools : 59.0.1
Cython : None
pytest : 6.2.5
hypothesis : None
sphinx : 4.4.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : 8.0.0
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : 2022.01.0
fastparquet : None
gcsfs : None
matplotlib : 3.5.1
numexpr : 2.8.1
odfpy : None
openpyxl : 3.0.9
pandas_gbq : 0.16.0
pyarrow : 6.0.1
pyxlsb : None
s3fs : 2022.01.0
scipy : 1.7.3
sqlalchemy : 1.4.29
tables : 3.7.0
tabulate : None
xarray : 0.20.2
xlrd : 2.0.1
xlwt : None
numba : None
Note that as I mentioned above, I get different errors even with newer versions of pandas.