If we decide to integrate dataflows into our pipelines there could potentially be three different ways to find and replace.
The current way we are using, pipeline built-in processor way, has an issue where non-matches that are also blank cells are filled in with the string "None." Currently the only way to avoid this is to do a second find and replace using find pattern: "None" (without quotes) and leave the replace with field blank.
pipeline processor - has "None" fill issue.
dataflow "find_replace" - unknown whether same issue as pipeline find replace.
custom flow. If all else fails we can write a custom find replace (python re) which seems silly to do but if it works then ....
If we decide to integrate dataflows into our pipelines there could potentially be three different ways to find and replace.
The current way we are using, pipeline built-in processor way, has an issue where non-matches that are also blank cells are filled in with the string "None." Currently the only way to avoid this is to do a second find and replace using find pattern: "None" (without quotes) and leave the replace with field blank.