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BUG: groupby/apply reuses the index which causes weird behavior

ApplyApply, Aggregate, Transform, MapApply, Aggregate, Transform, Map

Bug

Groupby

Needs DiscussionRequires discussion from core team before further actionRequires discussion from core team before further action

Status: Open.

#43681 In pandas-dev/pandas;

· sdementen opened on Sep 21, 2021

BUG: Incorrect factorization for ordinal vs nominal variable

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

Bug

CategoricalCategorical Data TypeCategorical Data Type

Status: Open.

#43617 In pandas-dev/pandas;

· Intangible-pg18 opened on Sep 17, 2021

BUG: pandas.read_sql missing table schema input

Bug

IO SQLto_sql, read_sql, read_sql_queryto_sql, read_sql, read_sql_query

Needs DiscussionRequires discussion from core team before further actionRequires discussion from core team before further action

Status: Open.

#43585 In pandas-dev/pandas;

· vinodMS opened on Sep 15, 2021

BUG: Get element from series of dtypes.value_counts() by index don't work most of times

Bug

Status: Open.

#43581 In pandas-dev/pandas;

· KizhiFox opened on Sep 15, 2021

BUG: Dataframe.pivot with multiple <code>values</code> columns does not preserve dtype of numeric columns

Bug

Dtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversions

ReshapingConcat, Merge/Join, Stack/Unstack, ExplodeConcat, Merge/Join, Stack/Unstack, Explode

Status: Open.

#43547 In pandas-dev/pandas;

· mgab opened on Sep 13, 2021

BUG: dtype changes when row passed to a function via DataFrame.apply()

ApplyApply, Aggregate, Transform, MapApply, Aggregate, Transform, Map

Bug

CategoricalCategorical Data TypeCategorical Data Type

Dtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversions

Status: Open.

#43503 In pandas-dev/pandas;

· buhtz opened on Sep 10, 2021

BUG: groupby(Grouper) with all-NaT grouping keys

Bug

DatetimeDatetime data dtypeDatetime data dtype

Groupby

Missing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolatenp.nan, pd.NaT, pd.NA, dropna, isnull, interpolate

Status: Open.

#43486 In pandas-dev/pandas;

· jbrockmendel opened on Sep 9, 2021

BUG/API: Inconsistent index result for groupby().rolling(on=...) between Series and DataFrame

API - ConsistencyInternal Consistency of API/BehaviorInternal Consistency of API/Behavior

Bug

Groupby

RegressionFunctionality that used to work in a prior pandas versionFunctionality that used to work in a prior pandas version

Windowrolling, ewma, expandingrolling, ewma, expanding

Status: Open.

#43405 In pandas-dev/pandas;

· mroeschke opened on Sep 4, 2021

BUG: to_clipboard raises an error with null values in data frame

Bug

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

Missing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolatenp.nan, pd.NaT, pd.NA, dropna, isnull, interpolate

WindowsWindows OSWindows OS

Status: Open.

#43402 In pandas-dev/pandas;

· BabakAmini opened on Sep 4, 2021

BUG: TypeError for .at indexer when accessing MultiIndex through date string

Bug

DatetimeDatetime data dtypeDatetime data dtype

IndexingRelated to indexing on series/frames, not to indexes themselvesRelated to indexing on series/frames, not to indexes themselves

MultiIndex

Status: Open.

#43395 In pandas-dev/pandas;

· FinalSh4re opened on Sep 4, 2021

BUG: Inconsistent assignment of <code>NAT</code> values to datetime columns in <code>MultiIndex</code>

Bug

DatetimeDatetime data dtypeDatetime data dtype

Missing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolatenp.nan, pd.NaT, pd.NA, dropna, isnull, interpolate

MultiIndex

RegressionFunctionality that used to work in a prior pandas versionFunctionality that used to work in a prior pandas version

TimedeltaTimedelta data typeTimedelta data type

Status: Open.

#43351 In pandas-dev/pandas;

· galipremsagar opened on Sep 1, 2021

BUG: <code>pd.to_numeric</code> has an inconsistent behavior for <code>datetime</code> objects

Bug

DatetimeDatetime data dtypeDatetime data dtype

Dtype ConversionsUnexpected or buggy dtype conversionsUnexpected or buggy dtype conversions

Status: Open.

#43280 In pandas-dev/pandas;

· hec10r opened on Aug 29, 2021