wafer | thin web application for running small conferences

I have 2 almost identical pandas dataframes with 5 common columns. I want to add the second dataframe to the first which has a new column.

Dataframe 1

Dataframe 2

But I want it to update the same row given that columns 'Lot name', 'wafer' and 'site' match (green). If the columns do not match, I want to have the value of NaN as shown below.

Desired output

I have to do this with over 160 discrete columns but with possible matching Lot name, WAFER and SITE values.

I have tried the various merging(left right outer) and concat options, just cant seem to get it right. Any help\comments is appreciated.

Edit, follow up question:

I am trying to use this in a loop, where each iteration generates a new dataframe assigned to TEMP that needs to be merged with the previous dataframe. I cannot merge with an empty dataframe as it gives a merge error. How can I achieve this?

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Thanks for any pointers!

EXAMPLE:

See failed attempt in this fiddle:

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