i am new on programming and python. I made a simulation mm1 queue. I ran it properly. I took the results. I have an 5000 output. But now i should calculate the cumulative mean of average delays for every 100 period(1 to 100, 1 to 200... until 1 to 5000).
#data 4 (delay time) set assign to list of numpy array npdelaytime = np.array(data[4][0:5000]) #reshape the list of delay time 100 customer in each sample npdelayreshape100 = np.reshape(npdelaytime, (-1,100)) #mean of this reshape matrix meandelayreshape100 = np.mean(npdelayreshape100, axis=1) cumsummdr100 = np.cumsum(meandelayreshape100) a = range(1,51) meancsmdr100 = cumsummdr100 / a I can figure this out like this. First reshape the 5000 sample point into to 100*50. Then taking the means of these matrix. Lastly cumsum of these means.
My Question : Is there a easy way to do this ?
12 Answers
What about replacing range by np.arange ?
Try:
meancsmdr100 = cumsummdr100 / np.arange(1,51) def cum_mean(arr): cum_sum = np.cumsum(arr, axis=0) for i in range(cum_sum.shape[0]): if i == 0: continue print(cum_sum[i] / (i + 1)) cum_sum[i] = cum_sum[i] / (i + 1) return cum_sum 
