So essentially it is a simple two sum problem but there are multiple solutions. At the end I would like to return all pairs that sum up to the target within a given list and then tally the total number of pairs at the end and return that as well. Currently can only seem to return 1 pair of numbers.
Tag: sum
sum multiple list elements at the same time(python)
How can I sum multiple list elements at the same time? For example, something like this in Python: Our lists (input): Output: Note: we don’t know how many list will be given to us. Answer This should do the job
Python (Pandas) pivot datframe, some sums keeping the order
I’m trying to get from a to b. I got a Pandas data frame similar to the a below. I realize I’ve backed myself into a corner by computing sums in a flat file. I’m new to Python. I guess I should create the sums when I’m done pivoting? What I am stuck in is this wrong b struggle, I
Python (Sum of expense, income, and profit)
In Python I have a list of entries. I need to get the sum of expenses, the sum of income, and the profit. I’ve been able to get the expenses and income. Looking to break out the profit. I know I’m missing something simple but can’t figure it out. Answer Looks like you just want to calculate the profit/expenses/income for
Replace zero values on all columns if sum of that columns is greater than 1?
I have CSV files like following I want to replace Result1, Result2, and Result3 columns by all zero if the sum of their column values is greater than 1. I tried this script When I do this operation Result3 column is dropped since it has all zero values. How do I do this operation only on the columns which satisfy
Printing pair of numbers using for loop – Python
I am a beginner in python and I need some help with a case: I need to print pairs of numbers which are input from a for loop – for example Let’s say we enter 3 2 1 4 5 0 4, I need to print the sum of the paired numbers – 3 + 2, 1 + 4 etc.
Sum rows based on columns inside pandas dataframe
I am quite new to pandas, but I use python at a good level. I have a pandas dataframe which is organized as follows It is a fairly large dataframe (7 columns and ~600k rows). What I would like to do is: given a tuple containing values referring to the idbasin column (e.g. (1,2)), if the idrun value is the
combine multiple lines into one column
Here is my dataframe following the merging of two separate dataframes. In the [order] column, orders 2, 4 and 5, have multiple corresponding amounts in the [value] column. This is replicated elsewhere in the dataframe at random points. What can I do to merge these amounts so that I am left with one row in the dataframe per order: Essentially,
Pandas append row based on conditional sum in long form
So, I have some sample data as such: which gives a dataframe in long form like: I want to, for each pair/grouping of location and time, conditionally sum the value column based on the value in the fruit column. Specifically: I want to sum the apple and orange but NOT the banana rows for each grouping. Resulting in the below
Python: generate 5 random int (every has own range) with fixed sum
Each value in Total has own range (in %). First: find random values (within ranges that is % from Total.). I tried this (but sum() can be >or< than 100): Second:find exact value for a,b,c,d,e (according to the percentage from Total in First part). I tried this: This code does not work. please help Answer I’d start with the smallest