sliding-window

How do I lag columns in MySQL?

不问归期 提交于 2019-11-26 22:54:44
Consider the following table: SELECT id, value FROM table ORDER BY id ASC; +-----+---------+ | id | value | +-----+---------+ | 12 | 158 | | 15 | 346 | | 27 | 334 | | 84 | 378 | | 85 | 546 | +-----+---------+ The id column is auto-incremented but contains gaps. The value column is numeric. I want to look at the increase in value over time by setting value in relation to the value two rows above. That is for row id=85 I want to set the value of row id=85 (546) in relation to the value of row id=27 (334). The value to be computed for row id=85 is hence 546/334=1.63473. This is the result I want

BigQuery SQL for 28-day sliding window aggregate (without writing 28 lines of SQL)

[亡魂溺海] 提交于 2019-11-26 18:12:20
问题 I'm trying to compute a 28 day moving sum in BigQuery using the LAG function. The top answer to this question Bigquery SQL for sliding window aggregate from Felipe Hoffa indicates that that you can use the LAG function. An example of this would be: SELECT spend + spend_lagged_1day + spend_lagged_2day + spend_lagged_3day + ... + spend_lagged_27day as spend_28_day_sum, user, date FROM ( SELECT spend, LAG(spend, 1) OVER (PARTITION BY user ORDER BY date) spend_lagged_1day, LAG(spend, 2) OVER

R data.table sliding window

試著忘記壹切 提交于 2019-11-26 18:05:07
问题 What is the best (fastest) way to implement a sliding window function with the data.table package? I'm trying to calculate a rolling median but have multiple rows per date (due to 2 additional factors), which I think means that the zoo rollapply function wouldn't work. Here is an example using a naive for loop: library(data.table) df <- data.frame( id=30000, date=rep(as.IDate(as.IDate("2012-01-01")+0:29, origin="1970-01-01"), each=1000), factor1=rep(1:5, each=200), factor2=1:5, value=rnorm(30

What is Sliding Window Algorithm? Examples?

ぃ、小莉子 提交于 2019-11-26 12:54:57
While solving a geometry problem, I came across an approach called Sliding Window Algorithm. Couldn't really find any study material/details on it. What is the algorithm about? Generally speaking a sliding window is a sub-list that runs over an underlying collection. I.e., if you have an array like [a b c d e f g h] a sliding window of size 3 would run over it like [a b c] [b c d] [c d e] [d e f] [e f g] [f g h] This is useful if you for instance want to compute a running average, or if you want to create a set of all adjacent pairs etc. Sliding window is a problem solving technique for

How to use a timer in C++ to force input within a given time?

时光怂恿深爱的人放手 提交于 2019-11-26 12:47:25
问题 I want to implement a time out feature in C++. If the user does not input the value within 2 seconds then the program must display the time-out statement and ask the input again EX(OUTPUT SCREEN): Timer=0; Please enter the input: //if input is not given within 2 seconds then Time-out: 2 seconds Timer again set to 0 Please enter the input: //if input is not given within 2 seconds then Time-out: 2 seconds Timer again set to 0 Please enter the input:22 Data accepted Terminate the program` Code:

sliding window of M-by-N shape numpy.ndarray

淺唱寂寞╮ 提交于 2019-11-26 09:27:17
问题 I have a numpy array of shape (6,2) [[00,01], [10,11], [20,21], [30,31], [40,41], [50,51]] I need a sliding window with step size 1 and window size 3 likes this: [[00,01,10,11,20,21], [10,11,20,21,30,31], [20,21,30,31,40,41], [30,31,40,41,50,51]] I\'m looking for a numpy solution. If your solution could parametrize the the shape of the original array as well as the window size and step size, that\'d great. I found this related answer Using strides for an efficient moving average filter but I

How do I lag columns in MySQL?

我与影子孤独终老i 提交于 2019-11-26 08:28:09
问题 Consider the following table: SELECT id, value FROM table ORDER BY id ASC; +-----+---------+ | id | value | +-----+---------+ | 12 | 158 | | 15 | 346 | | 27 | 334 | | 84 | 378 | | 85 | 546 | +-----+---------+ The id column is auto-incremented but contains gaps. The value column is numeric. I want to look at the increase in value over time by setting value in relation to the value two rows above. That is for row id=85 I want to set the value of row id=85 (546) in relation to the value of row

What is Sliding Window Algorithm? Examples?

谁说我不能喝 提交于 2019-11-26 03:35:36
问题 While solving a geometry problem, I came across an approach called Sliding Window Algorithm. Couldn\'t really find any study material/details on it. What is the algorithm about? 回答1: Generally speaking a sliding window is a sub-list that runs over an underlying collection. I.e., if you have an array like [a b c d e f g h] a sliding window of size 3 would run over it like [a b c] [b c d] [c d e] [d e f] [e f g] [f g h] This is useful if you for instance want to compute a running average, or if

Simulate lag function in MySQL

倾然丶 夕夏残阳落幕 提交于 2019-11-25 23:47:11
问题 | time | company | quote | +---------------------+---------+-------+ | 0000-00-00 00:00:00 | GOOGLE | 40 | | 2012-07-02 21:28:05 | GOOGLE | 60 | | 2012-07-02 21:28:51 | SAP | 60 | | 2012-07-02 21:29:05 | SAP | 20 | How do I do a lag on this table in MySQL to print the difference in quotes, for example: GOOGLE | 20 SAP | 40 回答1: This is my favorite MySQL hack. This is how you emulate the lag function: SET @quot=-1; select time,company,@quot lag_quote, @quot:=quote curr_quote from stocks order