bjornjorgensen commented on a change in pull request #35296:
URL: https://github.com/apache/spark/pull/35296#discussion_r790691873
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File path: python/pyspark/pandas/generic.py
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@@ -904,6 +904,8 @@ def to_json(
.. note:: output JSON format is different from pandas'. It always use
`orient='records'`
for its output. This behaviour might have to change in the near
future.
+
+ .. note:: If column have only NaN or Null values. The column well be
deleted.
Review comment:
Yes, this well be the best option. But are you thinking about changing
this in https://github.com/apache/spark/pull/26098
// Whether to ignore column of all null during json generating
val structIngoreNull = parameters.getOrElse("structIngoreNull",
"true").toBoolean
or just change the “koalas” code?
Yes, pandas writes both in JSON. I have updated the jira post with it.
Or we can add this as a note?
If path is provided, writer omits columns with all NaN or Null values by
default. This behavior can be controlled using ignorNullFields option.
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