==========
graphtools
==========
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Tools for building and manipulating graphs in Python.
Installation
------------
graphtools is available on `pip`. Install by running the following in a terminal::
pip install --user graphtools
Alternatively, graphtools can be installed using `Conda <https://conda.io/docs/>`_ (most easily obtained via the `Miniconda Python distribution <https://conda.io/miniconda.html>`_)::
conda install -c conda-forge graphtools
Or, to install the latest version from github::
pip install --user git+git://github.com/KrishnaswamyLab/graphtools.git
For improved performance with large datasets, install with numba acceleration::
pip install --user graphtools[fast]
Usage example
-------------
The `graphtools.Graph` class provides an all-in-one interface for k-nearest neighbors, mutual nearest neighbors, exact (pairwise distances) and landmark graphs.
Use it as follows::
from sklearn import datasets
import graphtools
digits = datasets.load_digits()
G = graphtools.Graph(digits['data'])
K = G.kernel
P = G.diff_op
G = graphtools.Graph(digits['data'], n_landmark=300)
L = G.landmark_op
Help
----
If you have any questions or require assistance using graphtools, please contact us at https://krishnaswamylab.org/get-help
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