BUG: Fix ValueError in Series.info(show_counts=False) #7
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Thank you for this contribution to the pandas documentation. The addition of the bug fix for Series.info is valuable and well-documented. I've suggested a minor adjustment to improve clarity and consistency with other entries in the bug fixes section. Overall, this change enhances the documentation by providing clear information about resolved issues in pandas 3.0.0.
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| - Bug in :meth:`set_option` where setting the pandas option ``display.html.use_mathjax`` to ``False`` has no effect (:issue:`59884`) | ||
| - Bug in :meth:`to_csv` where ``quotechar``` is not escaped when ``escapechar`` is not None (:issue:`61407`) | ||
| - Bug in :meth:`to_excel` where :class:`MultiIndex` columns would be merged to a single row when ``merge_cells=False`` is passed (:issue:`60274`) | ||
| - Bug in :meth:`~pandas.Series.info` where calling with ``show_counts=False`` raised a :exc:`ValueError` (:issue:`62590`) |
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This is a good addition to the bug fixes section. It clearly describes the issue and references the relevant GitHub issue. However, to improve clarity and consistency, we could make a small adjustment to the wording.
| - Bug in :meth:`~pandas.Series.info` where calling with ``show_counts=False`` raised a :exc:`ValueError` (:issue:`62590`) | |
| - Bug in :meth:`Series.info` where calling with ``show_counts=False`` raised a :exc:`ValueError` (:issue:`62590`) |
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This PR fixes the ValueError in Series.info(show_counts=False) by properly wrapping the dtype in a list for the _gen_rows_without_counts method. The fix is appropriate, and the issue is properly documented in the whatsnew file.
The issue occurred because _gen_rows_without_counts was yielding individual strings directly from _gen_dtypes(), but it needed to yield sequences of strings to match the expected format. The fix correctly wraps each dtype in a list.
The PR is ready to merge.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
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The previous implementation returns an iterator of strings directly from self._gen_dtypes(), but this causes a ValueError when show_counts=False since the _gen_rows_without_counts method should return sequences of strings, not individual strings. The fix correctly wraps each dtype in a list.
| - Bug in :meth:`set_option` where setting the pandas option ``display.html.use_mathjax`` to ``False`` has no effect (:issue:`59884`) | ||
| - Bug in :meth:`to_csv` where ``quotechar``` is not escaped when ``escapechar`` is not None (:issue:`61407`) | ||
| - Bug in :meth:`to_excel` where :class:`MultiIndex` columns would be merged to a single row when ``merge_cells=False`` is passed (:issue:`60274`) | ||
| - Bug in :meth:`~pandas.Series.info` where calling with ``show_counts=False`` raised a :exc:`ValueError` (:issue:`62590`) |
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Good addition to the whatsnew document. This correctly documents the bug fix for Series.info(show_counts=False) which was raising a ValueError.
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This is a good bug fix for the issue with Series.info(show_counts=False) raising a ValueError.
The PR includes two important components:
- The fix to
_gen_rows_without_counts()that properly wraps each dtype in a list to ensure it returns a sequence of sequences. - A clear entry in the whatsnew documentation that describes the bug fix.
The changes look correct and well-implemented. The fix properly addresses the underlying issue where yield from self._gen_dtypes() was returning individual dtypes rather than sequences of dtypes, causing the error when show_counts=False. The solution to wrap each dtype in a list is concise and appropriate.
Great work!
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
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Good fix! This change properly ensures that _gen_rows_without_counts() returns a sequence of sequences by wrapping each dtype in a list. The previous implementation was incorrectly yielding raw dtype values directly, causing the error when show_counts=False is specified.
| - Bug in :meth:`set_option` where setting the pandas option ``display.html.use_mathjax`` to ``False`` has no effect (:issue:`59884`) | ||
| - Bug in :meth:`to_csv` where ``quotechar``` is not escaped when ``escapechar`` is not None (:issue:`61407`) | ||
| - Bug in :meth:`to_excel` where :class:`MultiIndex` columns would be merged to a single row when ``merge_cells=False`` is passed (:issue:`60274`) | ||
| - Bug in :meth:`~pandas.Series.info` where calling with ``show_counts=False`` raised a :exc:`ValueError` (:issue:`62590`) |
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Good job adding a clear and concise entry to the "whatsnew" documentation. The entry correctly describes the bug that was fixed (ValueError in Series.info when show_counts=False) and properly references the issue number.
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Summary
This PR successfully fixes a ValueError that occurred when calling Series.info(show_counts=False). The fix is minimal, targeted, and follows the established patterns in the codebase.
Key Changes
✅ Core Fix: Modified _gen_rows_without_counts() in _SeriesTableBuilderVerbose to properly wrap dtype strings in sequences, ensuring consistency with the expected Iterator[Sequence[str]] return type.
✅ Documentation: Added appropriate whatsnew entry documenting the bug fix.
Code Quality
The fix is well-implemented:
- Follows the same pattern used in the DataFrame equivalent method
- Maintains type consistency across the codebase
- Minimal change with focused scope
- Proper documentation of the change
The PR is ready for merge.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
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The fix correctly addresses the ValueError by wrapping each dtype string in a list to create a sequence. This ensures consistency with the expected return type of Iterator[Sequence[str]] and matches the pattern used in the DataFrame equivalent method.
| - Bug in :meth:`set_option` where setting the pandas option ``display.html.use_mathjax`` to ``False`` has no effect (:issue:`59884`) | ||
| - Bug in :meth:`to_csv` where ``quotechar``` is not escaped when ``escapechar`` is not None (:issue:`61407`) | ||
| - Bug in :meth:`to_excel` where :class:`MultiIndex` columns would be merged to a single row when ``merge_cells=False`` is passed (:issue:`60274`) | ||
| - Bug in :meth:`~pandas.Series.info` where calling with ``show_counts=False`` raised a :exc:`ValueError` (:issue:`62590`) |
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The whatsnew entry is properly formatted and placed in the correct I/O section. The description clearly explains the bug and references the correct issue number.
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Summary
This PR successfully fixes a ValueError that occurred when calling Series.info(show_counts=False). The fix is minimal, targeted, and follows the established patterns in the codebase.
Key Changes
✅ Core Fix: Modified _gen_rows_without_counts() in _SeriesTableBuilderVerbose to properly wrap dtype strings in sequences, ensuring consistency with the method's return type annotation.
✅ Documentation: Added appropriate whatsnew entry documenting the bug fix.
Code Quality
The fix is well-implemented:
- Maintains consistency with the DataFrame equivalent method
- Follows the existing code patterns
- Minimal change with maximum impact
- Proper type safety (matches
Iterator[Sequence[str]]return type)
The changes look good to merge! 🚀
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by wrapping each dtype in a list to create a sequence. This ensures consistency with the expected return type of Iterator[Sequence[str]] and matches the pattern used in the DataFrame equivalent method.
| - Bug in :meth:`set_option` where setting the pandas option ``display.html.use_mathjax`` to ``False`` has no effect (:issue:`59884`) | ||
| - Bug in :meth:`to_csv` where ``quotechar``` is not escaped when ``escapechar`` is not None (:issue:`61407`) | ||
| - Bug in :meth:`to_excel` where :class:`MultiIndex` columns would be merged to a single row when ``merge_cells=False`` is passed (:issue:`60274`) | ||
| - Bug in :meth:`~pandas.Series.info` where calling with ``show_counts=False`` raised a :exc:`ValueError` (:issue:`62590`) |
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The whatsnew entry is properly formatted and placed in the correct I/O section. The description clearly explains the bug and references the appropriate issue number.
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Summary
This PR successfully fixes a bug in Series.info(show_counts=False) that was raising a ValueError. The fix is minimal, targeted, and correct.
Changes Reviewed:
- Core Fix: Modified
_gen_rows_without_counts()in_SeriesTableBuilderVerboseto properly wrap dtype strings in sequences - Documentation: Added appropriate whatsnew entry documenting the bug fix
Assessment:
✅ Fix is correct: The change ensures the method returns Iterator[Sequence[str]] as expected by wrapping each dtype in a list
✅ Minimal impact: Only affects the specific broken functionality
✅ Consistent: Aligns with the pattern used in _gen_rows_with_counts method
✅ Documentation: Properly documented in whatsnew
The implementation correctly addresses the root cause of the ValueError and maintains consistency with the existing codebase patterns.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by wrapping each dtype string in a list to create a sequence. This ensures consistency with the expected return type of Iterator[Sequence[str]] and matches the pattern used in _gen_rows_with_counts method.
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Summary
This PR successfully fixes a bug in Series.info(show_counts=False) that was raising a ValueError. The fix is minimal, targeted, and correct.
Key Changes:
- Root Cause: The
_gen_rows_without_countsmethod in_SeriesTableBuilderVerbosewas yielding individual dtype strings instead of sequences, causing a mismatch with the expected table row format. - Solution: Changed
yield from self._gen_dtypes()toyield from ([dtype] for dtype in self._gen_dtypes())to ensure each yielded item is a sequence (single-element list). - Documentation: Properly documented the bug fix in the whatsnew file.
Technical Assessment:
- The fix maintains consistency with the
_gen_rows_with_countsmethod which yields tuples fromzip() - The change is minimal and focused on the specific issue
- No breaking changes or side effects expected
The implementation correctly resolves the issue while maintaining code consistency and following pandas' established patterns.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
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The fix correctly addresses the issue where _gen_rows_without_counts was yielding individual dtype strings instead of sequences. The method should yield sequences to match the expected table row format, which is what ([dtype] for dtype in self._gen_dtypes()) accomplishes. This ensures consistency with the _gen_rows_with_counts method that yields tuples from zip().
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Summary
This PR successfully fixes a bug where Series.info(show_counts=False) was raising a ValueError. The fix is minimal, targeted, and follows the existing patterns in the codebase.
Key Changes
-
Core Fix: Modified
_SeriesTableBuilderVerbose._gen_rows_without_counts()to yield sequences of strings instead of individual strings, matching the expected format for table building. -
Documentation: Added appropriate entry to the whatsnew documentation.
Review Assessment
✅ Bug Fix: The change correctly addresses the root cause of the ValueError
✅ Consistency: The fix aligns with the DataFrame implementation pattern
✅ Minimal Impact: The change is surgical and doesn't affect other functionality
✅ Documentation: Properly documented in the changelog
The implementation is clean and follows pandas' established patterns. The fix ensures that Series info output formatting works consistently with the DataFrame equivalent.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the issue where Series.info(show_counts=False) was raising a ValueError. The problem was that _gen_rows_without_counts was yielding individual strings instead of sequences of strings.
The solution wraps each dtype string in a list to create the expected sequence format, which matches the pattern used in the DataFrame equivalent method _DataFrameTableBuilderVerbose._gen_rows_without_counts (lines 983-990).
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Summary
This PR successfully fixes a bug where Series.info(show_counts=False) was raising a ValueError. The fix is minimal, targeted, and follows the established pattern in the codebase.
Changes Reviewed
✅ Core Fix: The issue was in _SeriesTableBuilderVerbose._gen_rows_without_counts() where individual strings were being yielded instead of sequences of strings. The fix wraps each dtype string in a list to match the expected format.
✅ Documentation: Appropriate whatsnew entry added documenting the bug fix.
Code Quality
The fix is:
- Minimal and focused: Only changes the problematic line
- Consistent: Follows the same pattern as the DataFrame equivalent
- Well-documented: Includes proper whatsnew entry
The implementation correctly addresses the root cause and should resolve the ValueError when calling Series.info(show_counts=False).
Recommendation: Approve ✅
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the issue where Series.info(show_counts=False) was raising a ValueError. The problem was that _gen_rows_without_counts was yielding individual strings instead of sequences of strings.
The solution wraps each dtype string in a list to create the expected sequence format, which matches the pattern used in the DataFrame equivalent method _DataFrameTableBuilderVerbose._gen_rows_without_counts (lines 983-990).
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Summary
This PR successfully fixes a ValueError that was raised when calling Series.info(show_counts=False). The fix is clean and targeted.
Key Changes:
- Root cause: The
_gen_rows_without_countsmethod in_SeriesTableBuilderVerbosewas yielding individual strings instead of sequences of strings - Solution: Wrap each dtype string in a list
[dtype]to match the expected table builder format - Documentation: Properly documented the bug fix in the whatsnew file
The fix is minimal, correct, and follows the existing patterns in the codebase. The change aligns with how other similar methods handle row generation for table builders.
Approval: ✅ Ready to merge
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
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Good fix! The issue was that _gen_rows_without_counts was yielding individual strings instead of sequences of strings. The table builder expects each row to be a sequence (like a list or tuple) of column values, not individual strings.
The fix correctly wraps each dtype string in a list [dtype] to create the expected sequence format, which matches the pattern used in _gen_rows_with_counts method and the _DataFrameTableBuilderVerbose class.
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Summary
This PR successfully fixes a ValueError that was raised when calling Series.info(show_counts=False). The fix is clean and targeted:
Root Cause: The _gen_rows_without_counts method in _SeriesTableBuilderVerbose was yielding individual dtype strings instead of sequences (table rows), causing a mismatch with the expected table format.
Solution: Wrapped each dtype in a list [dtype] to ensure proper sequence format, making it consistent with other table builder methods.
Changes:
- ✅ Core fix: Updated
pandas/io/formats/info.pyline 1099 to yield proper sequences - ✅ Documentation: Added appropriate whatsnew entry in
doc/source/whatsnew/v3.0.0.rst
The fix is minimal, targeted, and follows existing patterns in the codebase. The changes look good to merge.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
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Good fix! The issue was that _gen_rows_without_counts was yielding individual dtype strings instead of sequences (rows). By wrapping each dtype in a list [dtype], you ensure that each yielded item is a sequence that matches the expected table row format. This is consistent with the pattern used in _gen_rows_with_counts and other similar methods in the codebase.
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⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Summary
This PR successfully fixes a ValueError that was raised when calling Series.info(show_counts=False). The fix is clean and targeted:
Root Cause: The _gen_rows_without_counts method in _SeriesTableBuilderVerbose was yielding individual dtype strings instead of sequences (table rows), causing a format mismatch in the table building logic.
Solution: Wrap each dtype in a list [dtype] to ensure each yielded item is a proper sequence that matches the expected table row format.
Changes:
- ✅ Core fix: Updated
_gen_rows_without_countsmethod to yield sequences instead of individual strings - ✅ Documentation: Added appropriate whatsnew entry documenting the bug fix
The fix is minimal, targeted, and follows existing patterns in the codebase. The change aligns with how similar methods like _gen_rows_with_counts handle row generation. This should resolve the issue without introducing any side effects.
Approval: ✅ Ready to merge
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
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Good fix! The issue was that _gen_rows_without_counts was yielding individual dtype strings instead of sequences (rows). By wrapping each dtype in a list [dtype], you ensure that each yielded item is a sequence that matches the expected table row format. This is consistent with the pattern used in _gen_rows_with_counts and other similar methods in the codebase.
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This PR successfully fixes the ValueError that occurred when calling Series.info(show_counts=False). The fix correctly addresses the root cause by ensuring that _gen_rows_without_counts returns sequences of strings rather than individual strings, maintaining consistency with the expected table builder interface.
The changes are minimal, focused, and include appropriate documentation in the whatsnew file. The fix is well-implemented and should resolve the reported issue without introducing any side effects.
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Summary
This PR successfully fixes a bug in Series.info(show_counts=False) that was raising a ValueError. The fix is minimal, targeted, and addresses the root cause of the issue.
Key Changes:
- Core Fix: Modified
_gen_rows_without_counts()inpandas/io/formats/info.pyto properly return sequences of strings instead of individual strings, matching the expected return typeIterator[Sequence[str]] - Documentation: Added appropriate changelog entry in the whatsnew documentation
Technical Analysis:
The bug occurred because _gen_rows_without_counts() was yielding individual strings from _gen_dtypes() instead of sequences. The table building logic expects each row to be a sequence of strings, but was receiving individual strings, causing a type mismatch and subsequent ValueError.
The fix elegantly wraps each dtype string in a list using a generator expression: ([dtype] for dtype in self._gen_dtypes()), ensuring the correct return type while maintaining the existing logic flow.
Quality Assessment:
✅ Minimal and focused: Changes only what's necessary to fix the bug
✅ Type-safe: Aligns the implementation with the method signature
✅ Consistent: Follows the same pattern used in _gen_rows_with_counts()
✅ Well-documented: Includes proper changelog entry
This is a clean, well-implemented bug fix that should resolve the issue without introducing any side effects.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the type mismatch issue. The method signature indicates it should return Iterator[Sequence[str]], but the original code was yielding individual strings from _gen_dtypes(). Wrapping each dtype in a list ensures the return type matches the expected interface and fixes the ValueError when show_counts=False.
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Summary
This PR successfully fixes a bug where Series.info(show_counts=False) was raising a ValueError. The fix is minimal and targeted:
Key Changes:
- Root Cause: The
_gen_rows_without_countsmethod was yielding individual strings instead of sequences of strings, causing a mismatch with the table builder's expectations - Solution: Wrap each dtype string in a list using a generator expression:
([dtype] for dtype in self._gen_dtypes()) - Documentation: Properly documented the bug fix in the whatsnew file
Review Assessment:
✅ Correct Fix: The change aligns the Series table builder behavior with the DataFrame table builder pattern
✅ Minimal Impact: Only affects the specific broken code path
✅ Well Documented: Includes appropriate whatsnew entry
The fix is ready for merge.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by ensuring each dtype is wrapped in a sequence. The _gen_rows_without_counts method should yield sequences of strings (like _gen_rows_with_counts does), not individual strings. This change makes the Series info output consistent with the expected table format.
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This PR successfully fixes the ValueError that occurred when calling Series.info(show_counts=False). The fix is minimal and targeted:
Key Changes:
- Root Cause: The
_gen_rows_without_countsmethod was yielding individual dtype strings instead of sequences, causing a mismatch with the table builder's expectations - Solution: Wrapped each dtype in a list to create proper sequence format:
([dtype] for dtype in self._gen_dtypes()) - Documentation: Added appropriate whatsnew entry
The fix is well-implemented and maintains consistency with the existing codebase structure. The change aligns with how _gen_rows_with_counts works and ensures the table builder receives the expected sequence format.
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⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Summary
This PR successfully fixes a ValueError that was raised when calling Series.info(show_counts=False). The fix is minimal and targeted, addressing the root cause by ensuring the _gen_rows_without_counts method yields proper sequence objects rather than individual dtype strings.
Key Changes:
- ✅ Core Fix: Modified
_gen_rows_without_countsin_SeriesTableBuilderVerboseto wrap each dtype in a list, ensuring compatibility with the table builder's expected sequence format - ✅ Documentation: Added appropriate whatsnew entry documenting the bug fix
The implementation is clean, follows existing patterns in the codebase, and should resolve the issue without introducing any side effects. The fix aligns with how similar methods handle row generation in the verbose table builders.
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⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Summary
This PR successfully fixes a ValueError that occurred when calling Series.info(show_counts=False). The fix is minimal, targeted, and correct.
Key Changes:
- Core Fix: Modified
_gen_rows_without_counts()in_SeriesTableBuilderVerboseto return sequences of strings instead of individual strings, matching the expected table row format - Documentation: Added appropriate changelog entry in the whatsnew file
Review Assessment:
✅ Fix is correct: The change ensures consistency with the table builder pattern where rows should be sequences of column values
✅ Minimal impact: Only affects the specific broken code path
✅ Well documented: Includes proper changelog entry
✅ Consistent: Aligns with the existing _gen_rows_with_counts implementation pattern
The implementation correctly addresses the root cause by ensuring the method returns the expected data structure format for table rendering.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by ensuring _gen_rows_without_counts returns an iterator of sequences rather than strings. This matches the expected format where each row should be a sequence of column values, consistent with _gen_rows_with_counts which uses zip() to create tuples.
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This PR successfully fixes the ValueError in Series.info(show_counts=False) with a minimal and correct change. The fix properly addresses the root cause by ensuring _gen_rows_without_counts() yields sequences of strings as expected by the table builder framework. The whatsnew entry appropriately documents this bug fix. The changes are well-targeted and maintain consistency with the existing codebase.
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⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Summary
This PR successfully fixes the ValueError that occurred when calling Series.info(show_counts=False). The root cause was that the _gen_rows_without_counts method was yielding individual strings instead of sequences of strings, which caused a mismatch with the expected table format.
Key Changes
✅ Core Fix: Modified _gen_rows_without_counts in _SeriesTableBuilderVerbose to wrap each dtype in a list, ensuring consistency with the table builder's expected sequence format.
✅ Documentation: Added appropriate whatsnew entry documenting the bug fix.
Review Outcome
The fix is functionally correct and addresses the reported issue. The change is minimal and targeted, reducing the risk of introducing new bugs. The whatsnew entry properly documents the fix for users.
Status: ✅ Approved - Ready to merge
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by wrapping each dtype in a list to create the expected sequence format. However, consider using a more explicit approach for better readability and consistency with the _gen_rows_with_counts method.
| yield from ([dtype] for dtype in self._gen_dtypes()) | |
| for dtype in self._gen_dtypes(): | |
| yield [dtype] |
|
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Summary
This PR successfully fixes the ValueError that occurred when calling Series.info(show_counts=False). The fix is minimal, targeted, and correct.
Key Changes:
- Root Cause: The
_gen_rows_without_countsmethod was yielding individual dtype strings instead of sequences, causing a mismatch with the table builder's expectations - Solution: Wrap each dtype in a list using a generator expression:
([dtype] for dtype in self._gen_dtypes()) - Documentation: Properly documented the bug fix in the whatsnew file
Review Assessment:
✅ Fix is correct: The change ensures consistency with the table builder's expected format
✅ Minimal impact: Only affects the specific broken functionality
✅ Well documented: Includes appropriate whatsnew entry
✅ Consistent: Aligns with similar patterns in the codebase
The implementation correctly resolves the issue while maintaining code consistency and following pandas' documentation standards.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by ensuring each dtype is wrapped in a sequence. This matches the expected format for table rows and is consistent with the _gen_rows_with_counts method which uses zip() to create sequences.
|
⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Summary
This PR successfully fixes a ValueError that occurred when calling Series.info(show_counts=False). The issue was in the _gen_rows_without_counts method which was yielding individual strings instead of sequences of strings.
Changes Reviewed
✅ Core Fix: The change in pandas/io/formats/info.py correctly wraps each dtype in a list to ensure the method returns sequences as expected by the table building logic.
✅ Documentation: Appropriate whatsnew entry added documenting the bug fix.
The fix is minimal, targeted, and addresses the root cause of the issue. The solution maintains consistency with the existing codebase and follows the expected interface contract.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by ensuring each dtype is yielded as a sequence rather than a string. The _gen_rows_without_counts method should return an Iterator of sequences to match the return type annotation and be consistent with _gen_rows_with_counts.
|
⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Summary
This PR fixes a ValueError that was raised when calling Series.info(show_counts=False). The fix is minimal and targeted, addressing the root cause in the _gen_rows_without_counts method.
Changes Reviewed
✅ Core Fix: The change in pandas/io/formats/info.py correctly wraps each dtype in a list to match the expected sequence format for table rows. This is consistent with the pattern used in similar methods throughout the codebase.
✅ Documentation: Appropriate whatsnew entry added documenting the bug fix.
The fix is well-implemented and should resolve the issue without introducing any side effects. The change is minimal, focused, and follows existing code patterns.
Approval
This PR is ready for merge. The fix correctly addresses the reported issue with a clean, minimal solution.
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⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Summary
This PR successfully fixes a ValueError that occurred when calling Series.info(show_counts=False). The fix is minimal, targeted, and addresses the root cause of the issue.
Key Changes:
- Bug Fix: Modified
_gen_rows_without_counts()in_SeriesTableBuilderVerboseto yield sequences of strings instead of individual strings, ensuring consistency with the table building framework - Documentation: Added appropriate whatsnew entry documenting the bug fix
Review Assessment:
✅ Correct Fix: The change properly wraps each dtype in a list to create the expected sequence format
✅ Minimal Impact: The fix is surgical and only affects the specific broken functionality
✅ Consistency: Aligns with the pattern used in _gen_rows_with_counts() method
✅ Documentation: Properly documented in the whatsnew file
The implementation correctly resolves the issue while maintaining code consistency and following pandas' contribution guidelines.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by ensuring each dtype is wrapped in a sequence. The _gen_rows_without_counts method should yield sequences of strings to match the expected format for table building, and this change ensures consistency with the _gen_rows_with_counts method which uses zip() to create tuples.
|
⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Example rule: FeedbackTo provide feedback on Amazon Q Developer, create an issue in the Amazon Q Developer public repository. For more detailed information, visit the Amazon Q for GitHub documentation. Footnotes
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Summary
This PR successfully fixes a ValueError in Series.info(show_counts=False) by correcting a type mismatch in the _gen_rows_without_counts method.
Key Changes:
- Bug Fix: Fixed
_gen_rows_without_counts()to yield sequences of strings instead of individual strings, matching the expected return typeIterator[Sequence[str]] - Documentation: Added appropriate whatsnew entry documenting the fix
Review Assessment:
✅ Approved - The fix is minimal, targeted, and correctly addresses the root cause of the issue. The change ensures type consistency and resolves the ValueError without affecting other functionality.
The implementation properly wraps each dtype string in a list to create the required sequence structure, which aligns with how the method is used in the table building logic.
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You can disable any CI/CD workflow that you have configured to run on the source branch of the pull request. For more information, see Disabling and enabling a workflow in the GitHub documentation.
| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the type mismatch issue. The method signature indicates it should return Iterator[Sequence[str]], but the original code was yielding individual strings from _gen_dtypes(). Wrapping each dtype in a list ensures each yielded item is a sequence, which matches the expected return type and fixes the ValueError when show_counts=False.
|
⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
FeaturesAgentic Chat Code Review CustomizationYou can create project-specific rules for Amazon Q Developer to follow:
Example rule: FeedbackTo provide feedback on Amazon Q Developer, create an issue in the Amazon Q Developer public repository. For more detailed information, visit the Amazon Q for GitHub documentation. Footnotes
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lishaxia
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This PR successfully fixes a ValueError that occurred when calling Series.info(show_counts=False). The root cause was a type mismatch in the _gen_rows_without_counts method, which was yielding individual strings instead of sequences of strings as expected by the method signature.
Key Changes:
- Core Fix: Modified
_gen_rows_without_countsin_SeriesTableBuilderVerboseto wrap each dtype string in a list, ensuring the return type matchesIterator[Sequence[str]] - Documentation: Added appropriate whatsnew entry documenting the bug fix
The fix is minimal, targeted, and follows the established pattern used in the corresponding _gen_rows_with_counts method. The change maintains backward compatibility while resolving the specific issue with show_counts=False.
Coming soon: You'll be able to request the agent to implement changes and create commits on your pull request's source branch. This may trigger any configured CI/CD workflows automatically.
You can disable any CI/CD workflow that you have configured to run on the source branch of the pull request. For more information, see Disabling and enabling a workflow in the GitHub documentation.
| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the type mismatch issue. The method signature expects Iterator[Sequence[str]] but was yielding individual strings. Wrapping each dtype in a list creates the proper sequence structure that matches the expected return type and aligns with the pattern used in _gen_rows_with_counts.
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This PR successfully fixes the ValueError that occurred when calling Series.info(show_counts=False). The root cause was that the _gen_rows_without_counts method in _SeriesTableBuilderVerbose was yielding individual strings instead of sequences of strings, which caused a type mismatch in the table building logic.
Key Changes:
- Core Fix: Modified
_gen_rows_without_counts()to wrap each dtype string in a list, ensuring it returnsIterator[Sequence[str]]as expected - Documentation: Added appropriate whatsnew entry documenting the bug fix
The fix is minimal, targeted, and aligns with the existing pattern used in the DataFrame equivalent. The change maintains backward compatibility while resolving the specific issue with show_counts=False.
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| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
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The fix correctly addresses the ValueError by wrapping each dtype in a list to create sequences. This ensures consistency with the expected return type Iterator[Sequence[str]] as defined in the method signature. The change aligns with the pattern used in _DataFrameTableBuilderVerbose._gen_rows_without_counts() which uses zip() to create tuples (sequences) of strings.
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⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
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Example rule: FeedbackTo provide feedback on Amazon Q Developer, create an issue in the Amazon Q Developer public repository. For more detailed information, visit the Amazon Q for GitHub documentation. Footnotes
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lishaxia
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lishaxia
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This PR successfully fixes the ValueError that occurred when calling Series.info(show_counts=False). The fix is minimal and targeted, addressing the root cause by ensuring the _gen_rows_without_counts method yields sequences of strings as expected by the table builder framework.
Key Changes:
- Fixed the
_gen_rows_without_countsmethod in_SeriesTableBuilderVerboseto wrap each dtype string in a list - Added appropriate documentation in the whatsnew file
The fix is well-implemented and maintains consistency with the existing codebase architecture. The change is backward compatible and resolves the specific issue without introducing any side effects.
Coming soon: You'll be able to request the agent to implement changes and create commits on your pull request's source branch. This may trigger any configured CI/CD workflows automatically.
You can disable any CI/CD workflow that you have configured to run on the source branch of the pull request. For more information, see Disabling and enabling a workflow in the GitHub documentation.
| def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]: | ||
| """Iterator with string representation of body data without counts.""" | ||
| yield from self._gen_dtypes() | ||
| yield from ([dtype] for dtype in self._gen_dtypes()) |
There was a problem hiding this comment.
The fix correctly addresses the ValueError by wrapping each dtype in a list to create the expected sequence format. This ensures consistency with the table builder's expectation that _gen_rows_without_counts yields sequences of strings rather than individual strings.
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⏳ Code review in progress. Analyzing for code quality issues and best practices. You can monitor the review status in the checks section at the bottom of this pull request. Detailed findings will be posted upon completion. Using Amazon Q Developer for GitHubAmazon Q Developer1 is an AI-powered assistant that integrates directly into your GitHub workflow, enhancing your development process with intelligent features for code development, review, and transformation. Slash Commands
FeaturesAgentic Chat Code Review CustomizationYou can create project-specific rules for Amazon Q Developer to follow:
Example rule: FeedbackTo provide feedback on Amazon Q Developer, create an issue in the Amazon Q Developer public repository. For more detailed information, visit the Amazon Q for GitHub documentation. Footnotes
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lishaxia
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lishaxia
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This PR successfully fixes a ValueError that occurred when calling Series.info(show_counts=False). The fix correctly addresses the type mismatch in the _gen_rows_without_counts() method by ensuring it returns sequences of strings as expected by the method signature, rather than individual strings. The change is minimal, targeted, and includes appropriate documentation in the whatsnew file.
Coming soon: You'll be able to request the agent to implement changes and create commits on your pull request's source branch. This may trigger any configured CI/CD workflows automatically.
You can disable any CI/CD workflow that you have configured to run on the source branch of the pull request. For more information, see Disabling and enabling a workflow in the GitHub documentation.
Fixes ValueError when calling Series.info(show_counts=False).
Changes: