These methods require networkx to be installed.

.. autofunction:: graphblas.io.from_networkx

.. autofunction:: graphblas.io.to_networkx

These methods convert to and from dense arrays. For more, see :ref:`IO in the user guide <from-to-values>`.

.. automethod:: graphblas.core.matrix.Matrix.from_dense

.. automethod:: graphblas.core.matrix.Matrix.to_dense

.. automethod:: graphblas.core.vector.Vector.from_dense

.. automethod:: graphblas.core.vector.Vector.to_dense

These methods require scipy to be installed.

.. autofunction:: graphblas.io.from_scipy_sparse

.. autofunction:: graphblas.io.to_scipy_sparse

These methods require sparse to be installed.

.. autofunction:: graphblas.io.from_pydata_sparse

.. autofunction:: graphblas.io.to_pydata_sparse

Matrix Market is a plain-text format for storing graphs.

These methods require scipy to be installed.

.. autofunction:: graphblas.io.mmread

.. autofunction:: graphblas.io.mmwrite

Awkward Array is a library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms. Note that the intended use of the awkward-array-related io functions is to convert graphblas objects to awkward, perform necessary computations/transformations and, if required, convert the awkward array back to graphblas format. To facilitate this conversion process, graphblas.io.to_awkward adds top-level attribute format, describing the format of the graphblas object (this attributed is used by the graphblas.io.from_awkward function to reconstruct the graphblas object).

.. autofunction:: graphblas.io.to_awkward

.. autofunction:: graphblas.io.from_awkward

.. autofunction:: graphblas.viz.draw

.. autofunction:: graphblas.viz.spy

.. autofunction:: graphblas.viz.datashade