datalogd.plugins.randomwalk_datasource module¶
-
class
datalogd.plugins.randomwalk_datasource.
RandomWalkDataSource
(sinks=[], seed=None, interval=1.0, walkers=[[0.0, 1.0], [0.0, 2.0]])[source]¶ Bases:
datalogd.DataSource
Generate test or demonstration data using a random walk algorithm.
For each iteration of the algorithm, the output value will either be unchanged, increase, or decrease by a fixed increment. The options are chosen randomly with equal probability.
Multiple walkers can be initialised to produce several sources of random data. The
walkers
parameter is a list, the length of which determines the number of walkers to use. Each item in the list must be a list/tuple of two items: the walker’s initial value and increment.Parameters: - seed – Seed used to initialise the random number generator.
- interval – How often to run an iteration of the algorithm, in seconds.
- walkers – List defining number of walkers and their parameters in the
form
[[init, increment], ...]
.