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 * ..

#### Category : lambda

grades = [ {"LETTER GRADE": "C"}, {"LETTER GRADE": "A+"}, {"LETTER GRADE": "B"}, {"LETTER GRADE": "A-"}, {"LETTER GRADE": "C-"}, {"LETTER GRADE": "D"}, {"LETTER GRADE": "F"}, {"LETTER GRADE": "B+"}, {"LETTER GRADE": "C+"}, {"LETTER GRADE": "A"}, ] print("Before sorting:") print(grades) print() def lgs(dict): grade = dict["LETTER GRADE"] if len(grade) == 1: return grade + "2" if grade[1] == ..

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[0] + prev[1], prev[0]), dummy, initial) return ..

I’m trying to use a lambda function to count the number of ocurrences of dataframe A values in dataframe B. For example: df_a: col_a a b c d h df_b: col_b d d f q a a a p m c The way I thought to solve this was with something like this: df_a["count"] = ..

I’m trying to setup up a workflow that allows me and my fellow developers remotely work on our AWS Lambda functions and I’m running into a issue with downloading the remote Zip of said functions and would appreciate some help. Everything appears to work, but nothing gets extracted and printing the file list reveals a ..

I’m having trouble working out lambda functions by hand. For example, def combinator(y): return (lambda x:lambda y:x(y))(lambda x:y) >>>combinator(lambda x:x*10)(11)(12) >>>120 How do I go about doing this without an IDLE? EDIT: This will be for an exam, so we only have access to pen and paper. Source: Python-3x..

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