I’ve been having trouble with finding the average of an array of lists, specifically by row and by column. I know what I want to do with it, but I’m struggling with finding what kind of code to write for it. The array is as follows: By row, I want to essentially find the averages of each individual list within
Tag: average
Calculate average the letter length of a phrase with one function
I did this programming to calculate the average letters of a phrase. Do you think this program is responsible for all texts? And do you have a better offer? Thanks Answer Alternatively, this program can be simplified to this function: Your original program just make it overly complex. Running it:
Trying to show all numbers lower than the average in another list
For school we have to make a code which shows the average of a certain list into another list but for some reason my list which should show the smaller numbers is empty, I don’t know if it is possible but I tried using an extra variable which counts +1 to itself help is appreciated in advance. Answer 2 things:
Calculate the average of list of lists based on two elements in the list?
I have the following list: I want to calculate the average of the items which have the same “first and the second elements”. E.g., from the below example, I want to take the average of the elements which have ‘5’ and ‘1’ in the first two elements of the list. So, my desired output should be like this: If I
Write a loop code to calculate average 77 different times, using another column as criteria
First of all, that’s my first code and question, so sorry for the begginer level here and lack of vocabulary. I would like to calculate and store in a dataframe the average of the first 5 rows in a column “returns” with column “N” numbered as 1, and afterwards proceeding to calculate the average return of next 5 rows using
Calculate the weighted average using groupby in Python
here is the dataframe I’m currently working on : What I’d like to calculate is the average of the variable “avg_lag” weighted by “tot_SKU” in each product_basket for both SMB and CORP groups. This means that, taking CORP as an example, I want to calculate something as: (585,134 * 46.09 + 147,398 * 104.55 + … + 1,112,941 * 75.73)
Pandas Grouping by Hostname. Average of Sessions(on host) by Hour
The dataframe looks like this. What I am trying to show the average sessions per hour by individual hostname. So I would get something back like this. I think I’m getting my grouping wrong as when trying this what I end up with is typically the largest average value per hour for any given hostname ordered in date by hour.
Calculating the averages for each KEY in a Pairwise (K,V) RDD in Spark with Python
I want to share this particular Apache Spark with Python solution because documentation for it is quite poor. I wanted to calculate the average value of K/V pairs (stored in a Pairwise RDD), by KEY. Here is what the sample data looks like: Now the following code sequence is a less than optimal way to do it, but it does
Averaging over every n elements of a numpy array
I have a numpy array. I want to create a new array which is the average over every consecutive triplet of elements. So the new array will be a third of the size as the original. As an example: should return the array: Can anyone suggest an efficient way of doing this? I’m drawing blanks. Answer If your array arr