Comments (4)
@anmyachev, could you take a look at this?
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Hi @azhuvath! Could you provide modin, pandas and pyarrow versions?
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Current situation with unsupported read_csv
parameters with pyarrow: pandas-dev/pandas#38872. Upstream pandas does not support nrows
parameter.
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I found an issue in Modin.
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Related Issues (20)
- Avoid unnecessary length checks in `df.squeeze`
- Run a subset of CI tests for all Python versions that Modin has declared supported on a scheduled basis.
- Upgrade github actions dependency versions HOT 1
- BUG: HOT 1
- Poor performance of df.insert and df.to_parquet HOT 23
- Pass sort parameter in stack to `query_compiler` from modin/pandas/dataframe.py
- BUG: columns mismatch after df.update
- Polars API
- BUG: Series.compare with differently named series raises ValueError, but should not HOT 1
- BUG: Broken links in Modin Usage Examples page HOT 3
- Using dynamic partitioning for broadcast_apply
- merge not supported HOT 1
- Add more granular lazy execution flags in query compiler
- why so slow compare to dask HOT 1
- Modin read_csv not loading the complete file (memory leak in file reading) HOT 1
- BUG: groupby().apply() raise numpy ValueError when Series has multi index HOT 1
- BUG: Apply on axis=1 causes "daemonic processes are not allowed to have children" on some operations on Dask engine, or launches Ray instance HOT 1
- modin with ray engine hang HOT 5
- Possible issue with `dropna(how="all")` not deleting data from partition on ray. HOT 1
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