average

I have collection of TimeSpans, they represent time spent doing a task. Now I would like to find the average time spent on that task. It should be easy but for some reason I'm not getting the correct average. Here's my code: private TimeSpan? GetTimeSpanAverage(List<TimeSpan> sourceList) { TimeSpan total = default(TimeSpan); var sortedDates = sourceList.OrderBy(x => x); foreach (var dateTime in sortedDates) { total += dateTime; } return TimeSpan.FromMilliseconds(total.TotalMilliseconds/sortedDates.Count()); } vc 74 You can use the Average extension method : double doubleAverageTicks =

EDIT: Ive written code for the average, but i dont know how to make it so that it also uses ints from my args.length rather than the array I need to write a java program that can calculate: 1. the number of integers read in 2. the average value—which need not be an integer! NOTE! i dont want to calculate the average from the array but the integers in the args. Currently i have written this: int count = 0; for (int i = 0; i<args.length -1; ++i) count++; System.out.println(count); } int nums[] = new int[] { 23, 1, 5, 78, 22, 4}; double result = 0; //average will have decimal point { for(int i=0;

I have an Sql Server Table.. it's something like this: Id ...... Column1 ...... Column2 ```````````````````````````````` 1 ........ 1 ............. 34 2 ........ 1 ............. 44 3 ........ 2 ............. 45 4 ........ 2 ............. 36 5 ........ 2 ............. 23 6 ........ 3 ............. 68 7 ........ 3 ............. 26 So, I need to select the average of Column2,but group with column1 before doing that. I mean, if I say Avg(Column2) it just returns a single row with the average of all rows. What I need is, first i need to group them by column so: Average of column2 where column1 = 1

Hye guys, I included a screenshot to help clarify my problem: http://i40.tinypic.com/mcrnmv.jpg . I'm trying to calculate some kind of moving average and moving standard deviation. The thing is I want to calculate the coefficients of variation (stdev/avg) for the actual value. Normally this is done by calculating the stdev and avg for the past 5 years. However sometimes there will be observations in my database for which I do not have the information of the past 5 years (maybe only 3, 2 etc). That's why i want a code that will calculate the avg and stdev even if there is no information for the

Looking for fastest solution of time averaging problem. I've got a list of datetime objects. Need to find average value of time (excluding year, month, day). Here is what I got so far: import datetime as dtm def avg_time(times): avg = 0 for elem in times: avg += elem.second + 60*elem.minute + 3600*elem.hour avg /= len(times) rez = str(avg/3600) + ' ' + str((avg%3600)/60) + ' ' + str(avg%60) return dtm.datetime.strptime(rez, "%H %M %S") Here's a better way to approach this problem Generate a sample of datetimes In [28]: i = date_range('20130101',periods=20000000,freq='s') In [29]: i Out[29]:

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: np.array([1,2,3,1,2,3,1,2,3]) should return the array: np.array([2,2,2]) Can anyone suggest an efficient way of doing this? I'm drawing blanks. If your array arr has a length divisible by 3: np.mean(arr.reshape(-1, 3), axis=1) Reshaping to a higher dimensional array and then performing some form of reduce operation on one of the additional dimensions is a staple of numpy programming. 来源： https:/