apply lambda with if

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1df['new column name'] = df['column name'].apply(lambda x: 'value if condition is met' if x condition else 'value if condition is not met')
2

1lambda x: True if x % 2 == 0 else False

1f = lambda parameter : exp1 if cond else exp2
2
3# example
4f = lambda x: "even" if x%2==0 else "odd"

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