#### Category : lambda

I have a function that should compute an integral, taking in some function as input. I’d like the code to compute a definite integral of: <some function, in terms of x. e.g., 3*x or 3*x*(1-x), etc.> * np.sin(np.pi * x)). I’m using scipy for this: import scipy.integrate as integrate def calculate(a): test = integrate.quad(a*np.sin(np.pi * ..

numbers = [1,2,3,4,5,6,7,8,9] b = lambda a : a if (a%2) != 0 else pass #If I try something else instead of Pass or continue, it works print(list(map(b,numbers))) Source: Python..

I would like to slice the dataframe according to conditions. I want to keep the area name where the length of codes are 5 or 3. The dataframeAreaCode is as bellowed codes area 0 113 Leeds 2 115 Nottingham 3 116 Leicester … … … 596 1985 Warminster 597 1986 Bungay 598 1987 Ebbsfleet This ..

I got AWS Lambda with python code which does two things over proxy connection. First: Takes AWS secret value with boto3.client use, where proxies={‘http’=’xx, ‘https’=’xx’} in config (one function) Second: Send files to SFTP with paramiko, socks an socket connection, also with proxy(the same as in first function) set. (another function) During test i noticed ..

I have a list of values that I would like to check inside the pandas column. Meaning that if the new value will be different from this categorical values I will change them to some string. I am using np.where() with lambda function but it changes all the values I have. Can you assist a ..

so, I saw someone using the reduce method to do recursion. here is his idea (1,0) , (1,1) , (2,1) , (3,2) , (5,3) which is corresponding 1,1,2,3,5,8,13,21 ……. and the code looks like this def fib_reduce(n): initial =(1,0) dummy = range(n) fib_n = reduce(lambda prev ,b : (prev + prev, prev), dummy, initial) return ..