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Pull requests: pandas-dev/pandas
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PERF: Don't create a CategoricalIndex._engine in __contains__ if categories are RangeIndex Categorical Categorical Data Type Performance Memory or execution speed performance
Backport PR #58992 on branch 2.2.x (PERF: cache plotting date locators for DatetimeIndex plotting) Performance Memory or execution speed performance Visualization plotting
PERF: cache plotting date locators for DatetimeIndex plotting Performance Memory or execution speed performance Visualization plotting
PERF/CLN: Avoid ravel in plotting Performance Memory or execution speed performance Visualization plotting
PERF: Use reshape instead of ravel/flatten Code Style Code style, linting, code_checks Performance Memory or execution speed performance
PERF: Use shallow copies/defer copies in io IO Data IO issues that don't fit into a more specific label Performance Memory or execution speed performance
PERF: Only copy in plotting when needed Performance Memory or execution speed performance Visualization plotting
PERF: future_stack=True with non-MulitIndex columns Performance Memory or execution speed performance Reshaping Concat, Merge/Join, Stack/Unstack, Explode Stale
PERF: Eliminate circular references in accessor attributes Accessors accessor registration mechanism (not .str, .dt, .cat) Performance Memory or execution speed performance
PERF: MultiIndex._engine use smaller dtypes MultiIndex Performance Memory or execution speed performance
PERF: MultiIndex.memory_usage shouldn't trigger the index engine Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: RangeIndex.value_counts/searchsorted/to_numpy Index Related to the Index class or subclasses Performance Memory or execution speed performance
Avoid unnecessary re-opening of HDF5 files (Closes: #58248) IO HDF5 read_hdf, HDFStore Performance Memory or execution speed performance
BUG/PERF: groupby.transform with unobserved categories Apply Apply, Aggregate, Transform, Map Bug Categorical Categorical Data Type Groupby Performance Memory or execution speed performance
REGR: Performance of DataFrame.stack where columns are not a MultiIndex Performance Memory or execution speed performance Regression Functionality that used to work in a prior pandas version Reshaping Concat, Merge/Join, Stack/Unstack, Explode
CLN/PERF: Simplify argmin/argmax Clean Missing-data np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate Performance Memory or execution speed performance Reduction Operations sum, mean, min, max, etc.
PERF: Allow Index.to_frame to return RangeIndex columns Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: Allow np.integer Series/Index to convert to RangeIndex Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: (partial) fix for np_datetime.c performance regression Performance Memory or execution speed performance Stale
#57988 by dontgoto was closed May 15, 2024 Loading…
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PERF: DataFrame(dict) returns RangeIndex columns when possible Constructors Series/DataFrame/Index/pd.array Constructors Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: Remove slower short circut checks in RangeIndex__getitem__ Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: Skip _shallow_copy for RangeIndex._join_empty where other is RangeIndex Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: RangeIndex.insert maintains RangeIndex when empty Index Related to the Index class or subclasses Performance Memory or execution speed performance
PERF: Unary methods on RangeIndex returns RangeIndex Index Related to the Index class or subclasses Performance Memory or execution speed performance
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