egttools.plotting.simplified.plot_pairwise_comparison_rule_dynamics_in_simplex_without_roots¶
- plot_pairwise_comparison_rule_dynamics_in_simplex_without_roots(population_size, beta, payoff_matrix=None, game=None, group_size=2, figsize=(10, 8), ax=None)[source]¶
Helper function to simplify the plotting of the moran dynamics in a 2 Simplex.
- Parameters
population_size (
int
) – Size of the finite population.beta (
float
) – Intensity of selection.payoff_matrix (
Optional
[ndarray
]) – The square payoff matrix.game (
Optional
[AbstractGame
]) – Game that should contain a set of payoff matricesgroup_size (
Optional
[int
]) – Size of the group. By default, we assume that interactions are pairwise (the group size is 2).figsize (
Optional
[Tuple
[int
,int
]]) – Size of the figure. This parameter is only used if the ax parameter is not defined.ax (
Optional
[axis
]) – A matplotlib figure axis.
- Return type
Tuple
[Simplex2D
,Callable
[[ndarray
,int
],ndarray
],AbstractGame
,PairwiseComparison
]- Returns
A tuple with the simplex object which can be used to add more features to the plot, the function that
can be used to calculate gradients and should be passed to
Simplex2D.draw_trajectory_from_roots
andSimplex2D.draw_scatter_shadow
, a list of the roots in barycentric coordinates, a list of the roots incartesian coordinates and a list of booleans indicating whether the roots are stable. It also returns the
game class (this is important, since a new game is created when passing a payoff matrix, and if not returned,
a reference to the game instance will disappear, and it will produce a segmentation fault). Finally, it also returns
a reference to the evolver object.