accessor registration mechanism (not .str, .dt, .cat)

Administrative tasks related to the pandas project

Non-arithmetic algos: value_counts, factorize, sorting, isin, clip, shift, diff

API - Consistency

Internal Consistency of API/Behavior

Apply, Aggregate, Transform

aarch64 architecture

pyarrow functionality

Performance (ASV) benchmarks

Blocking issue or pull request for release candidate

Blocking issue or pull request for an upcoming release

Library building on various platforms

Categorical Data Type

Continuous Integration

Closing Candidate

May be closeable, needs more eyeballs

Code style, linting, code_checks

Community topics (meetings, etc.)

pandas objects compatability with Numpy or Python functions

Complex Numbers

E.g. where, mask, case_when

Series/DataFrame/Index/pd.array Constructors

Copy / view semantics

DataFrame data structure

stdlib datetime.date support

Required and optional dependencies

Functionality to remove in pandas

Dtype Conversions

Unexpected or buggy dtype conversions

Duplicate Report

Duplicate issue or pull request

duplicated, drop_duplicates

Error Reporting

Incorrect or improved errors from pandas

Extending pandas with custom dtypes or arrays.

e.g. head, tail, nth

User expects "freq" attribute to be preserved

good first issue

hash_pandas_object

Ice Cream Agreement

Issues that would be addressed by the Ice Cream Agreement from the Aug 2023 sprint

Long-Term Enhancement Discussions

Related to the Index class or subclasses

Related to indexing on series/frames, not to indexes themselves

Relating to inplace parameter or equivalent

Dataframe Interchange Protocol

Related to non-user accessible pandas implementation

Interval data type

read_csv, to_csv

IO issues that don't fit into a more specific label

read_excel, to_excel

pandas-gbq compatability

read_hdf, HDFStore

read_html, to_html, Styler.apply, Styler.applymap

read_json, to_json, json_normalize

Local or Cloud (AWS, GCS, etc.) IO Issues

parquet, feather

read_pickle, to_pickle

to_sql, read_sql, read_sql_query

read_stata, to_stata

read_xml, to_xml

Internationalization of data

High level tracker for similar issues

_metadata, .attrs

np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate

Temporarily-closed PR the author plans to return to

Issues caused by the presence of multiple Blocks

Parallelism in pandas

NA - MaskedArrays

Related to pd.NA and nullable extension arrays

Needs Discussion

Requires discussion from core team before further action

Clarification about behavior needed to assess issue

Waiting for review/response from a maintainer.

Unit test(s) needed to prevent regressions

Issue that has not been reviewed by a pandas team member

Data where the values are collections (lists, sets, dicts, objects, etc.).

datetime64/timedelta64 with non-nanosecond resolution

Nuisance Columns

Identifying/Dropping nuisance columns in reductions, groupby.add, DataFrame.apply

numba-accelerated operations

Numeric Operations

Arithmetic, Comparison, and Logical operations

Related to Mac OS & hardware issues (M1)

Output-Formatting

__repr__ of pandas objects, to_string

pandas enhancement proposal

related to PDEP6 (not upcasting during setitem-like Series operations)

Memory or execution speed performance

Period data type

pyarrow dtype retention

op with pyarrow dtype -> expect pyarrow result

quantile method

Reduction Operations

sum, mean, min, max, etc.

Internal refactoring of code

Functionality that used to work in a prior pandas version

resample method

Concat, Merge/Join, Stack/Unstack, Explode

A proposal for the roadmap.

Non-Recoverable Error

Series data structure

setitem-with-expansion

union, intersection, difference, symmetric_difference

e.g. sort_index, sort_values

Sparse Data Type

Sprint Pull Requests

Still Needs Manual Backport

String extension data type and string data

conditional formatting using DataFrame.style

Subclassing pandas objects

pandas testing functions or related to the test suite

Timedelta data type

pd.Timestamp and associated methods

Timezone data dtype

Transformations

e.g. cumsum, diff, rank

type annotations, mypy/pyright type checking

__array_ufunc__ and __array_function__

Unicode strings

Unreliable Test

Unit tests that occasionally fail

Issue related to pandas dependency

Used to track votes issues for PDEPs

Warnings that appear or should be added to pandas

rolling, ewma, expanding

No labels found. Sorry about that.