Insulator | client UI to inspect Kafka topics | Pub Sub library
kandi X-RAY | Insulator Summary
kandi X-RAY | Insulator Summary
A client UI to inspect Kafka topics, consume, produce and much more
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QUESTION
Given source and target dataframes in Pandas, I need to update a column in the target dataframe by an amount specified in a column of the source dataframe, for every match on a key column.
In the example below, the source and target dataframes are RecetteDF
and InventaireDF
, respectively. The key column common to both is Codes interne
. Quantite Reserver
in the target has to be incremented with values from Quantite requise
from the source on matching key.
I've made it work, but it's really not optimal.
So far my function looks like this:
...ANSWER
Answered 2021-Sep-24 at 06:54You can use pandas.merge
to pull Quantite requise
in from RecetteDF
whenever you have a match. The merge should be done using left
, so that we preserve rows of InventaireDF
even when there is no match. Here is some code that should work:
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