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**Describe the bug** `cudf` and `cudf.pandas` error read mixed numeric and boolean data from csv. **Steps/Code to reproduce bug** ```python import pandas as pd import cudf pd_t2 = pd.read_csv("t2.csv") cudf_t2...

**Describe the bug** `cudf.pandas` can not cast `timestamp` value into `datetime` similar to `Pandas`. **Steps/Code to reproduce bug** ```python import pandas as pd pd_t0 = pd.DataFrame( { 'c0': [1] }...

`group().agg(<datetime>.mean())` result is incorrect while using the GPU engine

3

### Checks - [x] I have checked that this issue has not already been reported. - [x] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars. ###...

`""` in the csv input brings different results when using the GPU Engine

1

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### Checks - [x] I have checked that this issue has not already been reported. - [x] I have confirmed this bug exists on the [latest version](https://pypi.org/project/polars/) of Polars. ###...

An `InvalidOperationError` (Conversion from `str` failed) occurs when using the GPU engine

1

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[BUG] Special character inputs from the csv file bring inconsistency when using the CPU and GPU engines

1

**Describe the bug** Special character inputs from the csv file bring inconsistency when using the CPU and GPU engines respectively. **Steps/Code to reproduce bug** ```python import os os.environ['JAVA_HOME'] = "/usr/lib/jvm/java-17-openjdk-amd64"...

[BUG] `cast` mixed numeric and date data reading from csv files brings errors on the GPU engines

1

**Describe the bug** `cast` mixed numeric and date data reading from csv files brings errors on the GPU engines. **Steps/Code to reproduce bug** ```python import os os.environ['JAVA_HOME'] = "/usr/lib/jvm/java-17-openjdk-amd64" os.environ['SPARK_HOME']...

[QST] Does `spark-rapids` support GPU acceleration for pandas-on-Spark (`pyspark.pandas`)?

1

**What is your question?** Does `spark-rapids` support GPU acceleration for pandas-on-Spark (`pyspark.pandas`)?