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This page requires software that is not currently available for download by. If you choose to continue, you will be taken to the top of a category page. BT LSF 1250 : 1) LSF 1250 .Q:

Adding a new column to a dataframe based on a condition in other column

I’m looking for a way to add a new column to a dataframe based on a condition in a column. I can do something like this:
df[df[‘column_a’] == ‘a’].copy([‘column_b’])

I also know how to use np.where to handle a condition based on multiple columns, but this is a different scenario. I’m looking to add a column based on a simple comparison to another column, and the result should be applied to every row in the dataframe.
df[‘column_b’] = np.where((df[‘column_a’] == ‘a’), df[‘column_b’] + df[‘column_c’], df[‘column_d’])

This doesn’t produce the desired result, because it applies the condition only to the first row and then the second row gets overwritten.
What is a good way to do this? The result should be a new column with the value calculated from df[‘column_b’] + df[‘column_c’].

A:

In order to get a new column with
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