ak9im/p2
..
data
matlab
res
stats
.golangci.yml
data.go
go.mod
go.sum
main.go
README.md
run.go
visualise.py

p2

this is a Go subproject containing code for task no. 2. Python is used for visualisation.

compile

go build -v .

run

to compute correlations, impulse function:

# pass a csv data file.
./p2 -datafile=./data/m.csv

to visualise the computed data:

python visualise.py

alternatively, from current folder you could do both of the above in a single step:

# compute stuff and visualise.
-./p2 -datafile=./data/m.csv
+./p2 -datafile=./data/m.csv -vis