brainpy.analysis.stability.plot_scheme

brainpy.analysis.stability.plot_scheme = {'center': {'color': 'lime'}, 'center manifold': {'color': 'orangered'}, 'saddle node': {'color': 'tab:blue'}, 'stable degenerate': {'color': 'blueviolet'}, 'stable focus': {'color': 'tab:purple'}, 'stable node': {'color': 'tab:green'}, 'stable point': {'color': 'tab:red'}, 'stable star': {'color': 'tab:olive'}, 'unclassified stable point': {'color': 'tab:gray'}, 'unclassified unstable point': {'color': 'tab:purple'}, 'unknown 3d': {'color': 'tab:cyan'}, 'unstable center': {'color': 'tab:olive'}, 'unstable degenerate': {'color': 'springgreen'}, 'unstable focus': {'color': 'tab:pink'}, 'unstable line': {'color': 'dodgerblue'}, 'unstable node': {'color': 'tab:orange'}, 'unstable point': {'color': 'tab:olive'}, 'unstable saddle': {'color': 'tab:red'}, 'unstable star': {'color': 'green'}}

dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object’s

(key, value) pairs

dict(iterable) -> new dictionary initialized as if via:

d = {} for k, v in iterable:

d[k] = v

dict(**kwargs) -> new dictionary initialized with the name=value pairs

in the keyword argument list. For example: dict(one=1, two=2)