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Xinrong Meng updated SPARK-30491:
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Shepherd: (was: Xinrong Meng)
> Enable dependency audit files to tell dependency classifier
>
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Xinrong Meng updated SPARK-30491:
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Shepherd: Xinrong Meng
> Enable dependency audit files to tell dependency classifier
>
Xinrong Meng created SPARK-30491:
Summary: Enable dependency audit files to tell dependency
classifier
Key: SPARK-30491
URL: https://issues.apache.org/jira/browse/SPARK-30491
Project: Spark
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Xinrong Meng updated SPARK-30491:
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Description:
Current dependency audit files under `dev/deps` only show jar names. And there
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Xinrong Meng commented on SPARK-35344:
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I'd like to work on this ticket.
> Make conversion from/to
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Xinrong Meng updated SPARK-35344:
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Description:
Aim to achieve {{F}}{{*.*}}{{lit(np}}{{*.*}}{{int64(1)).}}
We can define {{def
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Xinrong Meng updated SPARK-35614:
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Summary: Make the conversion to pandas data-type-based for ExtensionDtypes
(was: Make the
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Xinrong Meng updated SPARK-35681:
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Description:
We ought to support arithmetic operators (+, *) between bool Series/Indexes,
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Xinrong Meng updated SPARK-35681:
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Description:
We ought to support arithmetic operators (+, *) between bool Series/Indexes,
Xinrong Meng created SPARK-35681:
Summary: Support arithmetic operators (+, *) among bool
Series/Index
Key: SPARK-35681
URL: https://issues.apache.org/jira/browse/SPARK-35681
Project: Spark
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Xinrong Meng resolved SPARK-35681.
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Resolution: Duplicate
> Support arithmetic operators (+, *) among bool Series/Index
>
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Xinrong Meng updated SPARK-35601:
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Description:
Completing arithmetic operators involving bool literals, Series, and Index
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Xinrong Meng updated SPARK-35601:
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Summary: Complete arithmetic operators involving bool literals, Series, and
Index (was:
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Xinrong Meng updated SPARK-35616:
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Description: There are many type checks in `astype` methods. Since
`DataTypeOps` is introduced,
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Xinrong Meng updated SPARK-35344:
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Summary: Support creating a Column of numpy literal value Support creating
a Column of numpy
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Xinrong Meng updated SPARK-35344:
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Description:
Spark (`lit` function defined in `pyspark.sql.functions`) doesn't support
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Xinrong Meng updated SPARK-35344:
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Summary: Support creating a Column of numpy literal value in
pandas-on-Spark (was: Support
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Xinrong Meng commented on SPARK-35342:
--
Certainly, thank you!
Yikun Jiang (Jira) 于2021年6月8日
Xinrong Meng created SPARK-35705:
Summary: Adjust pandas-on-spark `test_groupby_multiindex_columns`
test for different pandas versions
Key: SPARK-35705
URL: https://issues.apache.org/jira/browse/SPARK-35705
Xinrong Meng created SPARK-35340:
Summary: Standardize TypeError messages for unsupported arithmetic
operations
Key: SPARK-35340
URL: https://issues.apache.org/jira/browse/SPARK-35340
Project: Spark
Xinrong Meng created SPARK-35337:
Summary: pandas APIs on Spark: Separate basic operations into data
type based structures
Key: SPARK-35337
URL: https://issues.apache.org/jira/browse/SPARK-35337
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Xinrong Meng updated SPARK-35342:
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Description:
In PySpark, {{DoubleType}} and {{FloatType}} could have NaN, whereas
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Xinrong Meng updated SPARK-35341:
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Description:
extension_dtypes process __and__, __or__, __rand__, and __ror__ differently
with
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Xinrong Meng updated SPARK-35338:
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Description:
For arithmetic operations:
{code:java}
__add__, __sub__, __mul__, __truediv__,
Xinrong Meng created SPARK-35343:
Summary: Make conversion from/to pandas data data-type-based
Key: SPARK-35343
URL: https://issues.apache.org/jira/browse/SPARK-35343
Project: Spark
Issue
Xinrong Meng created SPARK-35344:
Summary: Make conversion from/to literals data-type-based
Key: SPARK-35344
URL: https://issues.apache.org/jira/browse/SPARK-35344
Project: Spark
Issue Type:
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Xinrong Meng updated SPARK-35343:
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Summary: Make conversion from/to pandas data-type-based (was: Make
conversion from/to pandas
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Xinrong Meng updated SPARK-35337:
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Description:
Currently, the same basic operation of all data types is defined in one
function,
Xinrong Meng created SPARK-35342:
Summary: Introduce DecimalOps
Key: SPARK-35342
URL: https://issues.apache.org/jira/browse/SPARK-35342
Project: Spark
Issue Type: Sub-task
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Xinrong Meng updated SPARK-35339:
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Description:
Unit tests for arithmetic operations are scattered in the codebase:
*
Xinrong Meng created SPARK-35339:
Summary: Consolidate unit tests for arithmetic operations
Key: SPARK-35339
URL: https://issues.apache.org/jira/browse/SPARK-35339
Project: Spark
Issue Type:
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Xinrong Meng updated SPARK-35340:
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Description:
Inconsistent TypeError messages are shown for unsupported arithmetic operations.
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Xinrong Meng updated SPARK-35340:
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Description:
Inconsistent TypeError messages are shown for unsupported arithmetic operations.
Xinrong Meng created SPARK-35338:
Summary: Separate arithmetic operations into data type based
structures
Key: SPARK-35338
URL: https://issues.apache.org/jira/browse/SPARK-35338
Project: Spark
Xinrong Meng created SPARK-35341:
Summary: Introduce ExtentionDtypeOps
Key: SPARK-35341
URL: https://issues.apache.org/jira/browse/SPARK-35341
Project: Spark
Issue Type: Sub-task
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Xinrong Meng updated SPARK-35341:
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Description:
Now __and__, __or__,_ _rand__, and __ror__ are not data type based.
So we would
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Xinrong Meng updated SPARK-35341:
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Description:
Now __and__, __or__, __rand__, and __ror__ are not data type based.
So we would
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Xinrong Meng updated SPARK-35314:
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Summary: Support arithmetic operations against bool Series (was: Support
arithmetic operations
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Xinrong Meng updated SPARK-35314:
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Parent: SPARK-35337
Issue Type: Sub-task (was: Story)
> Support arithmetic operations
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Xinrong Meng updated SPARK-35337:
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Description:
Currently, the same basic operation of all data types is defined in one
function,
Xinrong Meng created SPARK-35452:
Summary: Introduce ComplexTypeOps
Key: SPARK-35452
URL: https://issues.apache.org/jira/browse/SPARK-35452
Project: Spark
Issue Type: Sub-task
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Xinrong Meng updated SPARK-35314:
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Summary: Support arithmetic operations against bool IndexOpsMixin (was:
Support arithmetic
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Xinrong Meng updated SPARK-35452:
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Description:
StructType, ArrayType, and MapType are not accepted by DataTypeOps now.
We should
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Xinrong Meng updated SPARK-35452:
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Summary: Introduce ComplexOps for complex types (was: Introduce
ComplexTypeOps)
> Introduce
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Xinrong Meng updated SPARK-35452:
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Summary: ntroduce ArrayOps, MapOps and StructOps (was: Introduce
ComplexOps for complex types)
Xinrong Meng created SPARK-35521:
Summary: List Python 3.8 installed libraries in build_and_test
workflow
Key: SPARK-35521
URL: https://issues.apache.org/jira/browse/SPARK-35521
Project: Spark
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Xinrong Meng updated SPARK-35341:
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Description:
{{Now ___and, __or,_ ___rand, and __ror___ are not data type
based.}}
Xinrong Meng created SPARK-35606:
Summary: List Python 3.9 installed libraries in build_and_test
workflow
Key: SPARK-35606
URL: https://issues.apache.org/jira/browse/SPARK-35606
Project: Spark
Xinrong Meng created SPARK-35616:
Summary: Make astype data-type-based
Key: SPARK-35616
URL: https://issues.apache.org/jira/browse/SPARK-35616
Project: Spark
Issue Type: Sub-task
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Xinrong Meng updated SPARK-35341:
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Description:
{{Now ___and, __or,_ ___rand, and __ror___ are not data type
based.}}
Xinrong Meng created SPARK-35522:
Summary: Introduce BinaryOps for BinaryType
Key: SPARK-35522
URL: https://issues.apache.org/jira/browse/SPARK-35522
Project: Spark
Issue Type: Sub-task
Xinrong Meng created SPARK-35601:
Summary: Support arithmetic operations against bool
Key: SPARK-35601
URL: https://issues.apache.org/jira/browse/SPARK-35601
Project: Spark
Issue Type:
Xinrong Meng created SPARK-35599:
Summary: Introduce a way to compare series of array for older
pandas
Key: SPARK-35599
URL: https://issues.apache.org/jira/browse/SPARK-35599
Project: Spark
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Xinrong Meng updated SPARK-35343:
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Description: Make the conversion from/to pandas data-type-based.
> Make conversion from/to
Xinrong Meng created SPARK-35614:
Summary: Make the conversion from/to pandas data-type-based for
ExtensionDtypes
Key: SPARK-35614
URL: https://issues.apache.org/jira/browse/SPARK-35614
Project:
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Xinrong Meng updated SPARK-35343:
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Summary: Make the conversion from/to pandas data-type-based for
non-ExtensionDtypes (was: Make
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Xinrong Meng updated SPARK-35343:
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Description:
Make the conversion from/to pandas data-type-based.
Ops class per
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Xinrong Meng updated SPARK-35343:
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Description:
The conversion from/to pandas includes logic for checking data types and
behaving
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Xinrong Meng updated SPARK-35614:
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Description:
The conversion from/to pandas includes logic for checking ExtensionDtypes data
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Xinrong Meng updated SPARK-35614:
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Description:
The conversion from/to pandas includes logic for checking ExtensionDtypes data
Xinrong Meng created SPARK-35615:
Summary: Refactor python/pyspark/pandas/base.py
Key: SPARK-35615
URL: https://issues.apache.org/jira/browse/SPARK-35615
Project: Spark
Issue Type: Sub-task
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Xinrong Meng updated SPARK-35615:
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Summary: Refactor python/pyspark/pandas/base.py for better abstraction
(was: Refactor
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Xinrong Meng updated SPARK-35615:
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Description:
python/pyspark/pandas/data_type_ops/base.py and python/pyspark/pandas/base.py
Xinrong Meng created SPARK-36035:
Summary: Make `test_astype` work with all pandas versions in
pandas API on Spark
Key: SPARK-36035
URL: https://issues.apache.org/jira/browse/SPARK-36035
Project:
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Xinrong Meng updated SPARK-36035:
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Description:
* test_astype
For pandas < 1.1.0, declaring or converting to StringDtype was in
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Xinrong Meng updated SPARK-36035:
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Description:
* test_astype
For pandas < 1.1.0, declaring or converting to StringDtype was in
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Xinrong Meng updated SPARK-36035:
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Description:
* test_astype
For pandas < 1.1.0, declaring or converting to StringDtype was in
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Xinrong Meng updated SPARK-36035:
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Summary: Adjust test_astype, test_neg for old pandas versions (was: Make
`test_astype` work
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Xinrong Meng updated SPARK-36035:
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Summary: Adjust `test_astype`, `test_neg` for old pandas versions (was:
Adjust test_astype,
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Xinrong Meng updated SPARK-36035:
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Description:
* test_astype
For pandas < 1.1.0, declaring or converting to StringDtype was in
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Xinrong Meng updated SPARK-35936:
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Affects Version/s: (was: 3.1.3)
> Deprecate Python 3.6 support
>
Xinrong Meng created SPARK-35936:
Summary: Deprecate Python 3.6 support
Key: SPARK-35936
URL: https://issues.apache.org/jira/browse/SPARK-35936
Project: Spark
Issue Type: Story
Xinrong Meng created SPARK-35997:
Summary: Implement comparison operators for CategoricalDtype in
pandas API on Spark
Key: SPARK-35997
URL: https://issues.apache.org/jira/browse/SPARK-35997
Project:
Xinrong Meng created SPARK-36001:
Summary: Assume result's index to be disordered in tests with
operations on different Series
Key: SPARK-36001
URL: https://issues.apache.org/jira/browse/SPARK-36001
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Xinrong Meng commented on SPARK-36002:
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How do you think about that? [~yikunkero]
> Consolidate
Xinrong Meng created SPARK-36000:
Summary: Support creating a ps.Series/Index with `Decimal('NaN')`
with Arrow disabled
Key: SPARK-36000
URL: https://issues.apache.org/jira/browse/SPARK-36000
Xinrong Meng created SPARK-36002:
Summary: Consolidate tests for data-type-based operations of
decimal Series
Key: SPARK-36002
URL: https://issues.apache.org/jira/browse/SPARK-36002
Project: Spark
Xinrong Meng created SPARK-36003:
Summary: Implement unary operator `invert` of numeric
ps.Series/Index
Key: SPARK-36003
URL: https://issues.apache.org/jira/browse/SPARK-36003
Project: Spark
Xinrong Meng created SPARK-35939:
Summary: Deprecate Python 3.6 in Spark documentation
Key: SPARK-35939
URL: https://issues.apache.org/jira/browse/SPARK-35939
Project: Spark
Issue Type:
Xinrong Meng created SPARK-35938:
Summary: Add deprecation warning for Python 3.6
Key: SPARK-35938
URL: https://issues.apache.org/jira/browse/SPARK-35938
Project: Spark
Issue Type: Sub-task
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Xinrong Meng updated SPARK-35339:
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Summary: Improve unit tests for data-type-based basic operations (was:
Consolidate unit tests
Xinrong Meng created SPARK-35976:
Summary: Adjust `astype` method for ExtensionDtype in pandas API
on Spark
Key: SPARK-35976
URL: https://issues.apache.org/jira/browse/SPARK-35976
Project: Spark
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Xinrong Meng resolved SPARK-35337.
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Resolution: Done
> pandas API on Spark: Separate basic operations into data type based
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Xinrong Meng updated SPARK-36104:
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Description:
The spark data type and nullability must be the same as the original when
Xinrong Meng created SPARK-36104:
Summary: Manage InternalField in DataTypeOps.neg/abs
Key: SPARK-36104
URL: https://issues.apache.org/jira/browse/SPARK-36104
Project: Spark
Issue Type:
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Xinrong Meng updated SPARK-35615:
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Description:
We have been refactoring basic operators to be data-type-based for readability,
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Xinrong Meng updated SPARK-35615:
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Summary: Make unary and comparison operators data-type-based (was:
Refactor
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Xinrong Meng commented on SPARK-36002:
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Thank you [~yikunkero]!
> Consolidate tests for
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Xinrong Meng updated SPARK-35340:
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Description:
Inconsistent TypeError messages are shown for unsupported data-type-based basic
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Xinrong Meng updated SPARK-35340:
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Summary: Standardize TypeError messages for unsupported basic operations
(was: Standardize
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Xinrong Meng updated SPARK-35340:
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Description:
Inconsistent TypeError messages are shown for unsupported data-type-based
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Xinrong Meng updated SPARK-35340:
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Description:
Inconsistent TypeError messages are shown for unsupported data-type-based basic
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Xinrong Meng updated SPARK-35340:
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Description:
Inconsistent TypeError messages are shown for unsupported data-type-based basic
Xinrong Meng created SPARK-36077:
Summary: Support numpy literals as input for pandas-on-Spark APIs
Key: SPARK-36077
URL: https://issues.apache.org/jira/browse/SPARK-36077
Project: Spark
Xinrong Meng created SPARK-36078:
Summary: Complete mappings between numpy literals and Spark data
types
Key: SPARK-36078
URL: https://issues.apache.org/jira/browse/SPARK-36078
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-36003?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-36003:
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Summary: Implement unary operator `invert` of integral ps.Series/Index
(was: Implement unary
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https://issues.apache.org/jira/browse/SPARK-36003?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-36003:
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Description:
{code:java}
>>> ~ps.Series([1, 2, 3])
Traceback (most recent call last):
...
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https://issues.apache.org/jira/browse/SPARK-35615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-35615:
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Description:
python/pyspark/pandas/data_type_ops/base.py and python/pyspark/pandas/base.py
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https://issues.apache.org/jira/browse/SPARK-35615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-35615:
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Description:
python/pyspark/pandas/data_type_ops/base.py and python/pyspark/pandas/base.py
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https://issues.apache.org/jira/browse/SPARK-35976?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-35976:
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Description:
Currently, `astype` method for ExtensionDtype in pandas API on Spark is not
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