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')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')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 Falselambda condition python
f = lambda parameter : exp1 if cond else exp2
# example
f = lambda x: "even" if x%2==0 else "odd"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])Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
