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Jun 30, 2020 1:42 PM

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It’s time to learn to dance! At the North Pole dance party, you’ll be taught the most popular dances, including the Electric Slide, the Waltz, and the Classic Rocker—with a North Pole twist! You will learn all of the steps and move to all of the tunes—from Wham! and Lionel Ritchie to Lady Gaga and Britney Spears.Q:

How to update a column using a pandas DataFrame where a certain value is greater than a certain value

I have a pandas DataFrame where each row has a column that will be the update value. I want to use this data to update the database. If the value of a certain column matches the value of the DataFrame in the same row, update the column. If the value of the column does not match the value of the DataFrame in the same row, add the new data to the end of the list.
Columns:
ID Status Account Change
1 Available 1000 1
2 Available 2000 0
3 Withdrawn 1000 1

This is the data after I update it to the database:
ID Status Account Change
1 Available 1000 1
2 Available 2000 0
3 Withdrawn 3000 1

So for the first row, the change needs to be 1000-1 = 999, and it is. It is not needed because the ID does not match. The third row has a value that does not match the DataFrame, so it needs to be added to the end of the list.

A:

You can use df.loc with invert mask and use np.where for assign DataFrame.loc with DataFrame subset by booleans:
#check length of DataFrame
L = df.shape[0]
#create mask by all values > 0 and Data
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