{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": "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",
"image/svg+xml": [
"\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
}