generate_mcmc_like_dataset#
- xarray_einstats.tutorial.generate_mcmc_like_dataset(seed=None)[source]#
Generate a Dataset with multiple variables, some with dimensions from mcmc sampling.
- Parameters:
- seed
int
or sequence ofint
, optional The random seed used to initialize
numpy.random.default_rng
.
- seed
Notes
This function is not part of the public API and is designed for use in our documentation. In addition to generating the data, it also sets
display_expand_data=False
to avoid taking too much virtual space with examples.Examples
The dataset generated is the following:
from xarray_einstats import tutorial tutorial.generate_mcmc_like_dataset(3)
<xarray.Dataset> Dimensions: (plot_dim: 20, chain: 4, draw: 10, team: 6, match: 12) Coordinates: * team (team) <U1 'a' 'b' 'c' 'd' 'e' 'f' * chain (chain) int64 0 1 2 3 * draw (draw) int64 0 1 2 3 4 5 6 7 8 9 Dimensions without coordinates: plot_dim, match Data variables: x_plot (plot_dim) float64 0.0 0.5263 1.053 1.579 ... 8.947 9.474 10.0 mu (chain, draw, team) float64 0.11 0.3897 1.4 ... 0.5328 0.3053 sigma (chain, draw) float64 2.385 0.5272 1.184 ... 0.1716 0.372 1.572 score (chain, draw, match) int64 2 2 0 0 2 2 1 0 1 ... 1 0 1 2 2 0 1 2 0