Tickets/dm 15015

examples/display_matplotlib.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
@@ -13,7 +13,7 @@
     "\n",
     "#%matplotlib osx\n",
     "\n",
-    "%matplotlib notebook\n",
+    "%matplotlib ipympl\n",
     "#%config InlineBackend.figure_format = 'retina'\n",
     "\n",
     "import lsst.afw.display as afwDisplay\n",
@@ -22,26 +22,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false,
     "scrolled": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "FigureCanvasNbAgg()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import lsst.afw.geom as afwGeom\n",
     "import lsst.afw.image as afwImage\n",
     "import lsst.afw.math as afwMath\n",
     "\n",
-    "disp = afwDisplay.Display()\n",
+    "disp = afwDisplay.Display(0)\n",
     "\n",
     "im = afwImage.MaskedImageF(100, 50)\n",
     "afwMath.randomGaussianImage(im.image, afwMath.Random())\n",
     "im.setXY0(10, 5)\n",
-    "im[0, 0] = 20\n",
-    "im.mask[0, 0] = im.mask.getPlaneBitMask(\"EDGE\")\n",
-    "im[-1, -1] = 30\n",
-    "im.image[50, 22:24] = 40\n",
+    "im.image[0, 0, afwImage.LOCAL] = 20\n",
+    "im.mask[10, 5] = im.mask.getPlaneBitMask(\"EDGE\")\n",
+    "im.image[-1, -1, afwImage.LOCAL] = 30\n",
+    "im.image[afwGeom.BoxI(afwGeom.PointI(50, 22), afwGeom.ExtentI(1, 2))] = 40\n",
     "im.mask[50, 22] = 0x5\n",
     "\n",
     "disp.scale(\"asinh\", \"zscale\", Q=8)\n",
@@ -52,14 +67,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "096f5b9e684b4737962072f3fcf31326",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "FigureCanvasNbAgg()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "if True:\n",
-    "    disp = afwDisplay.Display()\n",
+    "    disp = afwDisplay.Display(reopenPlot=True)\n",
     "\n",
     "if True:\n",
     "    disp.scale(\"asinh\", \"zscale\", Q=8)\n",
@@ -70,7 +100,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false,
     "scrolled": false
@@ -84,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {
     "collapsed": false,
     "scrolled": false
@@ -99,7 +129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -110,7 +140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -121,18 +151,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7be077d6b5634de3a895ddedcec7e6ea",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "FigureCanvasNbAgg()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "disp2 = afwDisplay.Display(2)"
+    "disp2 = afwDisplay.Display(2, reopenPlot=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {
     "collapsed": true
    },
@@ -144,11 +189,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Interacting with display 0; hit q to quit; 1, 2, 4, 8, 9 to zoom\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The module://ipympl.backend_nbagg matplotlib backend doesn't support display._getEvent()\n"
+     ]
+    }
+   ],
    "source": [
     "def pan(k, x, y):\n",
     "    disp.pan(x, y)\n",
@@ -166,14 +226,21 @@
     "print(\"Interacting with display 0; hit q to quit; 1, 2, 4, 8, 9 to zoom\")\n",
     "disp.interact()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "LSST",
    "language": "python",
-   "name": "python2"
+   "name": "lsst"
   },
   "language_info": {
    "codemirror_mode": {
@@ -189,5 +256,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 2
 }