average

问题 excuse my english but nobody can answer in French ;-) I'm doing this request : SELECT AVG(tyd.price) AS avg_price, COUNT(tyd.id_product) AS cnt_id_p, catalog.id_marchand, catalog.id_product, catalog.price AS c_price, catalog.img_src, tyd.login AS tyd_l FROM catalog INNER JOIN tyd ON catalog.id_marchand = tyd.id_marchand AND catalog.id_product = tyd.id_product WHERE tyd.login = "user1@tyd.fr" AND tyd.step = "0" GROUP BY catalog.id_product, catalog.id_marchand But of course the AVG & COUNT

问题 I play a lot of board games and I maintain a site/database which keeps track of several statistics. One of the tables keeps track of various times. It's structure looks like this: gameName (text - the name of the board game) numPeople (int - the number of people that played) timeArrived (timestamp - the time we arrived at the house we are playing the game) beginSetup (timestamp - the time when we begin to set up the game) startPlay (timestamp - the time we actually start playing the game)

问题 I have a dataframe called ants detailing multiple entries per site, looks like this: Site Date Time Temp SpCond Salinity Depth Turbidity Chlorophyll 1 71 6/8/2010 14:50:35 14.32 49.88 32.66 0.397 0.0 1.3 2 71 6/8/2010 14:51:00 14.31 49.94 32.70 1.073 0.0 2.0 3 71 6/8/2010 14:51:16 14.32 49.95 32.71 1.034 -0.1 1.6 4 71 6/8/2010 14:51:29 14.31 49.96 32.71 1.030 -0.2 1.6 5 70 6/8/2010 14:53:55 14.30 50.04 32.77 1.002 -0.2 1.2 6 70 6/8/2010 14:54:09 14.30 50.03 32.77 0.993 -0.5 1.2 Sites have

问题 I am new to programming and I am trying to figure out a simple average function. I have written a function to average 3 integers. Now I would like to be able to use any collection class and any number class and get the average. The problem is with these classes you can't use + or / to get the average. So I am wondering if there are any work-arounds to be able to use these two classes? here is my first function that works: package refresh; import java.util.*; public class Average { public

问题 I've searched around SO and can't seem to find a question with an answer that works fine for me. I have a table with almost 2 million rows in, and each row has a MySQL Date formatted field. I'd like to work out (in seconds) how often a row was inserted, so work out the average difference between the dates of all the rows with a SQL query. Any ideas? -- EDIT -- Here's what my table looks like id, name, date (datetime), age, gender 回答1: If you want to know how often (on average) a row was

问题 Say I have a spreadsheet with 18 rows, and I can hard code the range of the last 7 values in column D and average their values like so: =AVERAGE(D12:D18) How then could I do the same without hard coding them, so it'll work as I add more rows? 回答1: If you want to calculate the average or sum, there's no need for a script. You can accomplish this with an array filter as well. The following formula calculates the average over the last 7 rows in the A column: =AVERAGE(FILTER(A:A;ARRAYFORMULA(ROW

问题 Say I have an arbitrary numpy matrix that looks like this: arr = [[ 6.0 12.0 1.0] [ 7.0 9.0 1.0] [ 8.0 7.0 1.0] [ 4.0 3.0 2.0] [ 6.0 1.0 2.0] [ 2.0 5.0 2.0] [ 9.0 4.0 3.0] [ 2.0 1.0 4.0] [ 8.0 4.0 4.0] [ 3.0 5.0 4.0]] What would be an efficient way of averaging rows that are grouped by their third column number? The expected output would be: result = [[ 7.0 9.33 1.0] [ 4.0 3.0 2.0] [ 9.0 4.0 3.0] [ 4.33 3.33 4.0]] 回答1: You can do: for x in sorted(np.unique(arr[...,2])): results.append([np

问题 I have the following list count = 3.5, price = 2500 count = 3, price = 400 count = 2, price = 3000 count = 3.5, price = 750 count = 2, price = 500 I want to find the average price for all where the count is the same. For example: count = 2, price = 3000 count = 2, price = 500 3000 + 500 = 3500 3500/2 = 1750 Avg for 'count 2' is 1750 Here's my code so far avg_list = [value["average"] for value in dictionary_database_list] counter_obj = collections.Counter(count_list) print ("AVG:") for i in

问题 I have some real rainfall data recorded as the date and time, and the accumulated number of tips on a tipping bucket rain-gauge. The tipping bucket represents 0.5mm of rainfall. I want to cycle through the file and determine the variation in intensity (rainfall/time) So I need a rolling average over multiple fixed time frames: So I want to accumulate rainfall, until 5minutes of rain is accumulated and determine the intensity in mm/hour. So if 3mm is recorded in 5min it is equal to 3/5*60 =

问题 Ok experts...I've got a table that I am trying to calculate the average of the values in a column. Here is my lookup: $gameswon = mysql_query("SELECT SUM(P1_Score) AS value_sum FROM tblMatches Where P1_ID LIKE '".$playerid."'"); Any idea how I can determine the average (sum of values / total rows)? Thanks for your help. 回答1: Obviously it is SELECT AVG(P1_Score) 回答2: So in your case: $gameswon = mysql_query("SELECT AVG(P1_Score) AS value_sum FROM tblMatches WHERE P1_ID LIKE '".$playerid."'");