Problem Statement Given two integer arrays A and B of size N and M respectively. You begin with a score of 0. You want to perform exactly K operations. On the iᵗʰ operation (1-indexed), you will: Choose one integer x from either the start or the end of any one array, A or B. Remove it from that array Add
Tag: max
Remove NaN in a python list using max
In a recent interview I was given the following problem. We have a list l = [NaN, 5, -12, NaN, 9, 0] and we want to replaceNaN with -9 using the max function knowing that max(NaN, -9) = -9. What I have tried is : but the output is still the same list. Can’t figure out how to code this.
How to get statistics from an array Collection ? (min max, and average)
I have a text file that has a long 2D array as follows: The first element of each has numbers between 1 to 7. I want to read information of second element for all and find the maximum and minimum amount for each group between 1 to 7 separately. For example output like this: What is the most efficient way
max(*args, key = … ). How to modify key to get just certain values?
I am a bit confused with max(*args, key = ..) function. Imagine I have a following list: my_list = [2, 3, 4, -5, -2, -1]. I want to find maximum value within the negative values in my_list. For this, I am using the following code max(my_list, key = lambda x: x<0), but it gives me -5. Can you please explain
Trying to compare to values in a pandas dataframe for max value
I’ve got a pandas dataframe, and I’m trying to fill a new column in the dataframe, which takes the maximum value of two values situated in another column of the dataframe, iteratively. I’m trying to build a loop to do this, and save time with computation as I realise I could probably do it with more lines of code. However,
Create a List in Python from Value of Max Data
I want to create a list in Python from the dataset below: With some data wrangling by transposing the data to convert the value with this code: The data frame look like this: For example, Final result that I expected should be a list that consists a maximum value from each column: Answer You can try this: Output:
Why can’t I use max with Python to find maximum one-digit integer in array?
I had an interview recently and was asked to solve the following problem using Python: Write a function: such that, given an array A consisting of N integers, it returns the maximum among all one-digit integers. For example, given array A as follows: the function should return 1. Assume that: N is an integer within the range [1…1,000] Each element
Find max of two columns and populate with value in third column based on a condition
I have a pandas dataframe with 4 columns – A, B, C,D and E. I want create groups by column A and then find the max of column B and C and then populate E with the corresponding value present in D as shown in example below. The condition here is that Column E is to be populated with 0,
What functions can be used as ‘key=func’ arguments in the min() and max() functions?
For example: How do I know whether it is possible or not possible to use a function as a ‘key=func’ argument? Answer As indicated in the documentation, min() (and max()) expect a one-argument ordering function like that used for list.sort(). https://docs.python.org/3/library/functions.html#min So, what’s expected is a function that takes a single argument from the collection that min() or max() is
How to find the maximum x value of a function?
I need to find the maximum x value associated to the maximum y value of the following function that I plot using Python matplotlib module: Hence, the trend is this one: If I use the max() function in such way: It prints only the maximum y value (that in this case is equal to 0.8306243772229114). How can I do to