{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Gridplot: Visualize Multiple Graphs\n", "\n", "This example provides how to visualize graphs using the gridplot." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "import graspologic\n", "\n", "import numpy as np\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Overlaying two sparse graphs using gridplot\n", "\n", "### Simulate more graphs using weighted stochastic block models\n", "The 2-block model is defined as below:\n", "\n", "\\begin{align*}\n", "P = \n", "\\begin{bmatrix}0.25 & 0.05 \\\\\n", "0.05 & 0.25\n", "\\end{bmatrix}\n", "\\end{align*}\n", "\n", "We generate two weighted SBMs where the weights are distributed from a discrete uniform(1, 10) and discrete uniform(2, 5)." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from graspologic.simulations import sbm\n", "\n", "n_communities = [50, 50]\n", "p = np.array([[0.25, 0.05], [0.05, 0.25]])\n", "wt = np.random.randint\n", "wtargs = dict(low=1, high=10)\n", "\n", "np.random.seed(1)\n", "A_unif1= sbm(n_communities, p, wt=wt, wtargs=wtargs)\n", "\n", "wtargs = dict(low=2, high=5)\n", "A_unif2= sbm(n_communities, p, wt=wt, wtargs=wtargs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualizing both graphs" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from graspologic.plot import gridplot\n", "\n", "X = [A_unif1, A_unif2]\n", "labels = [\"Uniform(1, 10)\", \"Uniform(2, 5)\"]\n", "\n", "f = gridplot(X=X, \n", " labels=labels, \n", " title='Two Weighted Stochastic Block Models', \n", " height=12, \n", " font_scale=1.5)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.0" } }, "nbformat": 4, "nbformat_minor": 4 }