{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# linecollection.jl\n", "#\n", "# Line Collection plot example\n", "#\n", "# Julia 1.1.0\n", "# 10.06.16\n", "# Last Edit: 10.05.19\n", "\n", "# Reference: David P. Sanders - https://groups.google.com/d/msg/julia-users/BGcEOZVw8YU/Oacy1O5zBQAJ\n", "\n", "using PyPlot\n", "ioff() # Interactive plotting OFF, necessary for inline plotting in IJulia\n", "\n", "####################\n", "## Prepare Data ##\n", "####################\n", "# lines = Any array of tuples of floating point pairs\n", "\n", "# First Segment Group\n", "xs = [1.,3.,5.,0.]\n", "ys = [2.,4.,.06,0.]\n", "lines = Any[collect(zip(xs,ys))]\n", "# lines = [(1.0,2.0),(3.0,4.0),(5.0,0.06),(0.0,0.0)]\n", "\n", "# Second Segment Group\n", "xs = [3.,4]\n", "ys = [5.,6]\n", "push!(lines,collect(zip(xs,ys)))\n", "\n", "# Third Segment Group\n", "xs = [8.,2]\n", "ys = [2.,4]\n", "push!(lines,collect(zip(xs,ys)))\n", "\n", "##############\n", "## Colors ##\n", "##############\n", "# Line segments will be plotted with the following order of colors and will\n", "# cycle back to the beginning of the array when it has gone through all of them\n", "c = Vector{Int}[[1,0,0],[0,1,0],[0,0,1]]\n", "\n", "# Assemble everything into a LineCollection\n", "line_segments = matplotlib.collections.LineCollection(lines,colors=c);" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "Figure(PyObject )" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "############\n", "## Plot ##\n", "############\n", "fig = figure(\"Line Collection Example\",figsize=(10,10))\n", "ax = PyPlot.axes()\n", "ax.add_collection(line_segments)\n", "axis(\"image\")\n", "axis(\"tight\")\n", "gcf() # Needed for IJulia to plot inline" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Julia 1.1.0", "language": "julia", "name": "julia-1.1" }, "language_info": { "file_extension": ".jl", "mimetype": "application/julia", "name": "julia", "version": "1.1.0" } }, "nbformat": 4, "nbformat_minor": 1 }