There seems to be no function that simply calculates the moving average on numpy/scipy, leading to convoluted solutions. My question is two-fold: What’s the easiest way to (correctly) implement a moving average with numpy? Since this seems non-trivial and error prone, is there a good reason not to have the batteries included in this case? … Read more
I am creating a system which polls devices for data on varying metrics such as CPU utilisation, disk utilisation, temperature etc. at (probably) 5 minute intervals using SNMP. The ultimate goal is to provide visualisations to a user of the system in the form of time-series graphs. I have looked at using RRDTool in the … Read more
A very newbish question, but say I have data like this: test_data <- data.frame( var0 = 100 + c(0, cumsum(runif(49, -20, 20))), var1 = 150 + c(0, cumsum(runif(49, -10, 10))), date = seq(as.Date(“2002-01-01″), by=”1 month”, length.out=100) ) How can I plot both time series var0 and var1 on the same graph, with date on the … Read more
Update: The best performing algorithm so far is this one. This question explores robust algorithms for detecting sudden peaks in real-time timeseries data. Consider the following example data: Example of this data is in Matlab format (but this question is not about the language but about the algorithm): p = [1 1 1.1 1 0.9 … Read more
