Welcome to pymetis's documentation! =================================== Quick Start ----------- This graph, adapted from Figure 2 of the Metis `manual `_ to use zero-based indexing, .. image:: _static/tiny_01.png can be defined and partitioned into two graphs with .. code:: python import numpy as np import pymetis adjacency_list = [np.array([4, 2, 1]), np.array([0, 2, 3]), np.array([4, 3, 1, 0]), np.array([1, 2, 5, 6]), np.array([0, 2, 5]), np.array([4, 3, 6]), np.array([5, 3])] n_cuts, membership = pymetis.part_graph(2, adjacency=adjacency_list) # n_cuts = 3 # membership = [1, 1, 1, 0, 1, 0, 0] nodes_part_0 = np.argwhere(np.array(membership) == 0).ravel() # [3, 5, 6] nodes_part_1 = np.argwhere(np.array(membership) == 1).ravel() # [0, 1, 2, 4] .. image:: _static/tiny_01_partitioned.png Contents -------- .. toctree:: :maxdepth: 2 functionality misc 🚀 Github 💾 Download Releases Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`