A computational graph for time-series processing.
using Dates
using Statistics
using TimeDag
# Create nodes — lazy generators of time-series data.
x = rand(pulse(Hour(2)))
y = rand(pulse(Hour(3)))
# Apply functions to nodes to make new nodes.
z = cov(x, lag(y, 2))
# Evaluate nodes over a time range to pull data through the graph.
evaluate(z, DateTime(2021, 1, 1, 0), DateTime(2021, 1, 1, 15))Block{Float64}(5 knots)
| time | value |
| DateTime | Float64 |
|---------------------|------------|
| 2021-01-01T08:00:00 | 0.0 |
| 2021-01-01T09:00:00 | 0.0245348 |
| 2021-01-01T10:00:00 | 0.0100269 |
| 2021-01-01T12:00:00 | 0.00183812 |
| 2021-01-01T14:00:00 | 0.00559926 |
For more information and examples, see the documentation.