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#49275 ·
noatamir
opened
on Oct 24, 2022
9
FEEDBACK: PyArrow as a required dependency and PyArrow backed strings
#54466 ·
phofl
opened
on Aug 9, 2023
160
Issues
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state
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label
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Performance
state:open label:Performance
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Open
Closed
ENH: Performance enhancements to nanops using <code>numba</code>
Dependencies
Required and optional dependencies
Required and optional dependencies
Needs Discussion
Requires discussion from core team before further action
Requires discussion from core team before further action
Performance
Memory or execution speed performance
Memory or execution speed performance
Reduction Operations
sum, mean, min, max, etc.
sum, mean, min, max, etc.
Status: Open.
#62449
In pandas-dev/pandas;
·
eoincondron
opened
on Sep 25, 2025
PERF: <code>to_numpy</code> is >3 orders of magnitude slower on tz aware datetimes
Needs Discussion
Requires discussion from core team before further action
Requires discussion from core team before further action
Performance
Memory or execution speed performance
Memory or execution speed performance
Warnings
Warnings that appear or should be added to pandas
Warnings that appear or should be added to pandas
Status: Open.
#62309
In pandas-dev/pandas;
·
joshdunnlime
opened
on Sep 10, 2025
ENH: Add arrow engine to to_csv
Arrow
pyarrow functionality
pyarrow functionality
Enhancement
IO CSV
read_csv, to_csv
read_csv, to_csv
Performance
Memory or execution speed performance
Memory or execution speed performance
Stale
Status: Open (in progress).
pandas-dev/pandas
number 62267
#62267
In pandas-dev/pandas;
·
swt2c
opened
on Sep 5, 2025
PERF: cache interleaved_dtype in fast_xs
Indexing
Related to indexing on series/frames, not to indexes themselves
Related to indexing on series/frames, not to indexes themselves
Internals
Related to non-user accessible pandas implementation
Related to non-user accessible pandas implementation
Performance
Memory or execution speed performance
Memory or execution speed performance
Status: Open.
#62263
In pandas-dev/pandas;
·
jbrockmendel
opened
on Sep 5, 2025
PERF: <code>DataFrame.copy(deep=True)</code> returns a view on the original pyarrow buffer
Copy / view semantics
Needs Discussion
Requires discussion from core team before further action
Requires discussion from core team before further action
Performance
Memory or execution speed performance
Memory or execution speed performance
Status: Open.
#61930
In pandas-dev/pandas;
·
TomAugspurger
opened
on Jul 23, 2025
indexing with a <code>Categorical</code> of <code>Interval</code>s is inefficient
Categorical
Categorical Data Type
Categorical Data Type
Interval
Interval data type
Interval data type
Performance
Memory or execution speed performance
Memory or execution speed performance
Status: Open.
#61928
In pandas-dev/pandas;
·
flying-sheep
opened
on Jul 23, 2025
PERF: Brainstorming read_csv perf improvements
IO CSV
read_csv, to_csv
read_csv, to_csv
Needs Discussion
Requires discussion from core team before further action
Requires discussion from core team before further action
Performance
Memory or execution speed performance
Memory or execution speed performance
Status: Open.
#61825
In pandas-dev/pandas;
·
jbrockmendel
opened
on Jul 10, 2025
BUG: Pandas Series with Xarray slow print time.
Bug
Needs Discussion
Requires discussion from core team before further action
Requires discussion from core team before further action
Nested Data
Data where the values are collections (lists, sets, dicts, objects, etc.).
Data where the values are collections (lists, sets, dicts, objects, etc.).
Output-Formatting
__repr__ of pandas objects, to_string
__repr__ of pandas objects, to_string
Performance
Memory or execution speed performance
Memory or execution speed performance
Status: Open.
#61809
In pandas-dev/pandas;
·
chaoyupeng
opened
on Jul 8, 2025
ENH: speed up wide DataFrame.line plots by using a single LineCollection
Performance
Memory or execution speed performance
Memory or execution speed performance
Stale
Visualization
plotting
plotting
Status: Open (in progress).
pandas-dev/pandas
number 61764
#61764
In pandas-dev/pandas;
·
EvMossan
opened
on Jul 3, 2025
PERF: Arrow dtypes are much slower than Numpy for DataFrame.apply
Apply
Apply, Aggregate, Transform, Map
Apply, Aggregate, Transform, Map
Arrow
pyarrow functionality
pyarrow functionality
Performance
Memory or execution speed performance
Memory or execution speed performance
Status: Open.
#61747
In pandas-dev/pandas;
·
ehsantn
opened
on Jun 30, 2025
ENH: speed up <code>DataFrame.plot</code> using <code>LineCollection</code>
Performance
Memory or execution speed performance
Memory or execution speed performance
Visualization
plotting
plotting
Status: Open.
#61532
In pandas-dev/pandas;
·
Abdelgha-4
opened
on Jun 1, 2025
BUG: Slower <code>DataFrame.plot</code> with <code>DatetimeIndex</code>
Datetime
Datetime data dtype
Datetime data dtype
Performance
Memory or execution speed performance
Memory or execution speed performance
Visualization
plotting
plotting
Status: Open.
#61398
In pandas-dev/pandas;
·
Abdelgha-4
opened
on May 6, 2025
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