List of all classes, functions and methods in python-igraph

class documentation

A cut of a given graph.

This is a simple class used to represent cuts returned by `Graph.mincut()`

, `Graph.all_st_cuts()`

and other functions that calculate cuts.

A cut is a special vertex clustering with only two clusters. Besides the usual `VertexClustering`

methods, it also has the following attributes:

`value`

- the value (capacity) of the cut. It is equal to the number of edges if there are no capacities on the edges.`partition`

- vertex IDs in the parts created after removing edges in the cut`cut`

- edge IDs in the cut`es`

- an edge selector restricted to the edges in the cut.

You can use indexing on this object to obtain lists of vertex IDs for both sides of the partition.

This class is usually not instantiated directly, everything is taken care of by the functions that return cuts.

Examples:

>>> from igraph import Graph >>> g = Graph.Ring(20) >>> mc = g.mincut() >>> print(mc.value) 2.0 >>> print(min(len(x) for x in mc)) 1 >>> mc.es["color"] = "red"

Method | `__init__` |
Initializes the cut. |

Method | `__repr__` |
Undocumented |

Method | `__str__` |
Undocumented |

Property | `es` |
Returns an edge selector restricted to the cut |

Property | `partition` |
Returns the vertex IDs partitioned according to the cut |

Property | `cut` |
Returns the edge IDs in the cut |

Property | `value` |
Returns the sum of edge capacities in the cut |

Instance Variable | `_value` |
Undocumented |

Instance Variable | `_partition` |
Undocumented |

Instance Variable | `_cut` |
Undocumented |

def __init__(self, graph, value=None, cut=None, partition=None, partition2=None):

overridden in

`igraph.cut.Flow`

Initializes the cut.

This should not be called directly, everything is taken care of by the functions that return cuts.