Comments (2)
thunterdb
commented on June 22, 2024
@obar1 can you elaborate? Google doc provide a stable and documented API in python and REST, is very robust and has a lot of features to do pivoting, etc. We can use that to present the high priority elements to be worked on.
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rxin
commented on June 22, 2024
Thanks for the feedback. I think this ticket will be subsumed by #77 because we will remove the Google Docs and use our source code as the source of truth for roadmap & contributions.
Closing now.
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Related Issues (20)
- convert_dtypes support HOT 2
- Koalas vs Pandas HOT 3
- Series.to_json(orient='records') does not return records-based JSON HOT 3
- Write custom metadata to output files with dataframe.to_parquet? HOT 1
- read_excel's parameter - mangle_dupe_cols is used to handle duplicate columns but fails if the duplicate columns are case sensitive. HOT 2
- Predicate Pushdown not Working HOT 3
- AttributeError: module 'databricks.koalas' has no attribute 'DateOffset' HOT 1
- Whether the `apply` function is implemented using the pandas_udf function? HOT 1
- missing function `koalas.series.apply` HOT 1
- Joining koalas frame with spark HOT 2
- fillna does not work with decimals HOT 1
- pyspark is not required when install koalas
- data type conversion error HOT 1
- pyspark dataframe coverting to koalas dataframe have different elements HOT 5
- Spammed with FutureWarnings that are unfilterable
- Koalas.idxmin() is not picking the minimum value from a dataframe, but pandas.idxmin() gives HOT 1
- Attribute Error: module 'numpy' has no attribute 'bool' HOT 3
- Is koalas still being worked on? or is the project on pause at the moment? HOT 2
- gotImport Error
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