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Apply lambda function on column #2

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cyouh95 opened this issue Jun 19, 2018 · 0 comments
Open

Apply lambda function on column #2

cyouh95 opened this issue Jun 19, 2018 · 0 comments

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@cyouh95
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cyouh95 commented Jun 19, 2018

When a lambda function only involves a single column - for example, fitness_test_date here:

https://github.com/matthewboehlke/intro-data-capstone-musclehub/blob/97693663a901bf0b6d665d73dd4665e82228931c/Intro_To_Data_Analysis_Matt_Boehlke/musclehub.py#L159

You could call .apply() on just that column:

df['ab_test_group'] = df.fitness_test_date.apply(lambda x: 'A' if x is not None else 'B')

Here, the input x to the lambda function would simply be the value in the fitness_test_date column.
@cyouh95 cyouh95 mentioned this issue Jun 19, 2018
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