From c3cb57d388f4b79d3fbf7cbcdb105603db4170a5 Mon Sep 17 00:00:00 2001 From: bnewbold Date: Thu, 16 Jun 2016 16:16:01 -0400 Subject: examples: add ipython notebook (aka, Jupyter) example --- examples/pyx.ipynb | 196 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 196 insertions(+) create mode 100644 examples/pyx.ipynb (limited to 'examples') diff --git a/examples/pyx.ipynb b/examples/pyx.ipynb new file mode 100644 index 0000000..df7fa76 --- /dev/null +++ b/examples/pyx.ipynb @@ -0,0 +1,196 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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", 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+ " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n" + ], + "text/plain": [ + "PyX.PyxCanvas(PyObject )" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "using PyX\n", + "\n", + "g = graph.graphxy(width=8)\n", + "plot(g, graph_data_function(\"y(x)=sin(x)/x\", min=-15, max=15))\n", + "g" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "2" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "1+1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Julia 0.4.3", + "language": "julia", + "name": "julia-0.4" + }, + "language_info": { + "file_extension": ".jl", + "mimetype": "application/julia", + "name": "julia", + "version": "0.4.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} -- cgit v1.2.3