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How to use if else in lambda python

lambda <arguments> : <Return Value if condition is True> if <condition> else <Return Value if condition is False>
lambda x : True if (x > 10 and x < 20) else False

Source: thispointer.com

Apply lambda with if

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

Source: datatofish.com

Lambda function with if elif else python

lambda <args> : <return Value> if <condition> else ( <return value> if <condition> else <return value>)
lambda x: x*10 if x<2 else (x**2 if x<4 else x+10)

Source: appdividend.com

Python lambda function if else

# Think of the lambda function as defining a REALLY small function without 
# a name.

# EXAMPLE #
lis = [2, 4, 6, 8]
output = lambda [parameter] : return True if [parameter] in lis else return False
print(output[4])

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