average

问题 I currently have the following two DataFrames: raw_data= Time F1 F2 F3 2082-05-03 00:00:59.961599999 -83.769997 29.430000 29.400000 2082-05-03 00:02:00.009600000 -84.209999 28.940001 28.870001 2082-05-03 00:02:59.971200000 -84.339996 28.280001 28.320000 outage_by_timeofday_num = (made from raw_data) (ignore dashes - they are for alignment only) F1 F2 F3 Time 2082-05-03 00:00:00 0 1 1 2082-05-03 01:00:00 0 1 1 I've been able to sort and average the raw_data DataFrame by times of the day using

问题 In the following Java code, my average temperature is 1 decimal place off. For example Instead of being 69.0 it's 6.9 . The input can be any 10 numbers. So lets say I input 10 temperatures and each 1 is 10 degrees. The total for the 10 inputs is 100, so the average should be 10 but instead I'm receiving an average of 1.0. Code: import java.util.Scanner; public class NumberAboveAverage { public static void main(String[] args) { Scanner input = new Scanner(System.in); final int TotalTemps = 10;

问题 I have this sample data Time(s) Bacteria count 0.4 2 0.82 5 6.67 8 7.55 11 8.21 14 8.89 17 9.4 20 10.18 23 10.85 26 11.35 29 11.85 32 12.41 35 13.36 38 13.86 41 14.57 44 15.08 47 15.67 50 16.09 53 16.59 56 18.53 59 24.43 62 25.32 65 25.97 68 26.37 71 26.93 74 27.87 77 28.33 80 29.1 83 29.88 84 30.88 85 31.99 86 35.65 87 36.06 88 36.46 89 36.96 90 37.39 91 37.95 92 38.56 93 39.22 94 39.79 95 40.56 96 41.47 97 42.02 98 42.73 99 43.4 100 43.93 101 44.67 102 45.24 103 45.9 104 46.58 105 47.22 106

问题 New to python here. Trying to get find the average of totaled up keys in a dictionary. I've managed to grab the total of all values for each key, but I'm not certain how to find the average of these new values. import os f = open("iris.data", "r") count = 0 d = {} # You want the dictionary to have d = {Iris-setosa: list of values] # Populate dictionary # Code would work regardless of file # Reference movie names file for line in f: if line.isspace(): continue #If a particular line is made of

问题 My function called DicePlot, simulates rolling 10 dice 5000 times. In the function, it calculates the sum of values of the 10 dice of each roll, which will be a 1 × 5000 vector, and plot relative frequency histogram with edges of bins being selected in the same manner where each bin in the histogram should represent a possible value of for the sum of the dice. The mean and standard deviation are computed of the 1 × 5000 sums of dice values and the probability density function of normal

问题 I recorded values from temperature and humidity sensors, like that : mysql> SELECT date,valeur FROM temperature WHERE date >= NOW() - INTERVAL 2 HOUR; +---------------------+--------+ | date | valeur | +---------------------+--------+ | 2013-09-26 11:30:40 | 25.2 | | 2013-09-26 11:33:19 | 25.4 | | 2013-09-26 11:34:12 | 25.5 | | 2013-09-26 11:38:37 | 25.4 | | 2013-09-26 11:39:30 | 25.4 | | 2013-09-26 11:40:23 | 25.4 | | 2013-09-26 11:43:02 | 25.4 | | 2013-09-26 11:45:41 | 25.3 | | 2013-09-26

问题 How can I substitute each n lines of a file with their average using awk? This question answer perfectly, except for the fact that it handles only one column and the 3 is not parametrized: How to sum up every 10 lines and calculate average using AWK? basically I would like to take a file like this 1 1 2 1 3 1 4 1 5 1 6 1 2.5 2.0 3.5 2.0 4 2.0 and obtain something like this: 2 1 5 1 3.33 2.0 回答1: Here's a complete shell script: awk -v count=3 ' { if ( NF > tot_col ) tot_col = NF; cur = 1;

问题 This is a program i'm stuck on for school. Can't figure out why it won't give me a average and a greatest. The program runs 50 times like i want it to but does not add a value to moves and total. import java.util.*; public class RandomWalk { public static void main(String[] args) { // TODO Auto-generated method stub Random rand = new Random(); int location; double average; int greatest=0; int moves = 0; int total = 0; int step; for (int i = 0; i < 50; i++) { location = 4; step = rand.nextInt(

问题 Hi guys I asked a similar question about this here previously and I got some really awesome answers. But it turns out I have more data I need to work with sadly. So I have sample data in this format which is generated using head(data). So I have 3 specimens with their own Time and speed data....I'm not exactly using speed for my actual data Time Speed Time.1 Speed.1 Time.2 Speed.2 Error in unique.default(x) : unique() applies only to vectors Would it be possible for you guys to tell me what

问题 I have a temporal database and I wanted to average the data with respect to the: ` HH = (HH-1):41 - HH:40 For example: 13 = observation period 12:41 to 13:40. Expected results: The code should subtract the instantaneous value of HH:40 from (HH-1):41. Sample data: temperature date-time 1 -1.64 2007-09-29 00:01:09 2 -1.76 2007-09-29 00:03:09 3 -1.83 2007-09-29 00:05:09 4 -1.86 2007-09-29 00:07:09 5 -1.94 2007-09-29 00:09:09 6 -1.87 2007-09-29 00:11:09 7 -1.87 2007-09-29 00:13:09 8 -1.80 2007-09