itholic opened a new pull request #33414:
URL: https://github.com/apache/spark/pull/33414
### What changes were proposed in this pull request?
The `DataFrame.to_csv` has `mode` arguments both in pandas and pandas API on
Spark.
However, pandas allows the string "w", "w+", "a", "a+" where as
pandas-on-Spark allows "append", "overwrite", "ignore", "error" or
"errorifexists".
We should map them while `mode` can still accept the existing
parameters("append", "overwrite", "ignore", "error" or "errorifexists") as well.
### Why are the changes needed?
APIs in pandas-on-Spark should follows the behavior of pandas for preventing
the existing pandas code break.
### Does this PR introduce _any_ user-facing change?
`DataFrame.to_csv` now can accept "w", "w+", "a", "a+" as well, same as
pandas.
### How was this patch tested?
Add the unit test and manually write the file with the new acceptable
strings.
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