from __future__ import print_function so print works same for Python 2 & 3

Author: jarthurgross

AnatomyOfMatplotlib-Part0-Intro2NumPy.ipynb

@@ -1,13 +1,24 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:90ccb5909624353434d7af8f1073a89ba8f8f43775a430cf536d07701670eb19"
+  "signature": "sha256:291c02e0eda1008690ba35d47865fd743d899737c6c702e384430e08988052a0"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
  "worksheets": [
   {
    "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "# Let printing work the same in Python 2 and 3\n",
+      "from __future__ import print_function"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
@@ -39,9 +50,9 @@
      "collapsed": false,
      "input": [
       "a = np.array([1, 2, 3])\n",
-      "print a.shape\n",
-      "print a.size\n",
-      "print a.ndim"
+      "print(a.shape)\n",
+      "print(a.size)\n",
+      "print(a.ndim)"
      ],
      "language": "python",
      "metadata": {},
@@ -52,9 +63,9 @@
      "collapsed": false,
      "input": [
       "x = np.arange(100)\n",
-      "print x.shape\n",
-      "print x.size\n",
-      "print x.ndim"
+      "print(x.shape)\n",
+      "print(x.size)\n",
+      "print(x.ndim)"
      ],
      "language": "python",
      "metadata": {},
@@ -65,9 +76,9 @@
      "collapsed": false,
      "input": [
       "y = np.random.rand(5, 80)\n",
-      "print y.shape\n",
-      "print y.size\n",
-      "print y.ndim"
+      "print(y.shape)\n",
+      "print(y.size)\n",
+      "print(y.ndim)"
      ],
      "language": "python",
      "metadata": {},
@@ -86,7 +97,7 @@
      "collapsed": false,
      "input": [
       "x.shape = (20, 5)\n",
-      "print x"
+      "print(x)"
      ],
      "language": "python",
      "metadata": {},
@@ -104,7 +115,7 @@
      "collapsed": false,
      "input": [
       "y.shape = (4, 20, -1)\n",
-      "print y.shape"
+      "print(y.shape)"
      ],
      "language": "python",
      "metadata": {},
@@ -122,7 +133,7 @@
      "collapsed": false,
      "input": [
       "# Scalar Indexing\n",
-      "print x[2]"
+      "print(x[2])"
      ],
      "language": "python",
      "metadata": {},
@@ -133,7 +144,7 @@
      "collapsed": false,
      "input": [
       "# Slicing\n",
-      "print x[2:5]"
+      "print(x[2:5])"
      ],
      "language": "python",
      "metadata": {},
@@ -144,10 +155,10 @@
      "collapsed": false,
      "input": [
       "# Advanced slicing\n",
-      "print \"First 5 rows\\n\", x[:5]\n",
-      "print \"Row 18 to the end\\n\", x[18:]\n",
-      "print \"Last 5 rows\\n\", x[-5:]\n",
-      "print \"Reverse the rows\\n\", x[::-1]"
+      "print(\"First 5 rows\\n\", x[:5])\n",
+      "print(\"Row 18 to the end\\n\", x[18:])\n",
+      "print(\"Last 5 rows\\n\", x[-5:])\n",
+      "print(\"Reverse the rows\\n\", x[::-1])"
      ],
      "language": "python",
      "metadata": {},
@@ -158,7 +169,7 @@
      "collapsed": false,
      "input": [
       "# Boolean Indexing\n",
-      "print x[(x % 2) == 0]"
+      "print(x[(x % 2) == 0])"
      ],
      "language": "python",
      "metadata": {},
@@ -169,7 +180,7 @@
      "collapsed": false,
      "input": [
       "# Fancy Indexing -- Note the use of a list, not tuple!\n",
-      "print x[[1, 3, 8, 9, 2]]"
+      "print(x[[1, 3, 8, 9, 2]])"
      ],
      "language": "python",
      "metadata": {},
@@ -187,8 +198,8 @@
      "cell_type": "code",
      "collapsed": true,
      "input": [
-      "print \"Shape of X:\", x.shape\n",
-      "print \"Shape of Y:\", y.shape"
+      "print(\"Shape of X:\", x.shape)\n",
+      "print(\"Shape of Y:\", y.shape)"
      ],
      "language": "python",
      "metadata": {},
@@ -206,13 +217,13 @@
      "collapsed": false,
      "input": [
       "a = x + y\n",
-      "print a.shape\n",
+      "print(a.shape)\n",
       "b = x[np.newaxis, :, :] + y\n",
-      "print b.shape\n",
+      "print(b.shape)\n",
       "c = np.tile(x, (4, 1, 1)) + y\n",
-      "print c.shape\n",
-      "print \"Are a and b identical?\", np.all(a == b)\n",
-      "print \"Are a and c identical?\", np.all(a == c)"
+      "print(c.shape)\n",
+      "print(\"Are a and b identical?\", np.all(a == b))\n",
+      "print(\"Are a and c identical?\", np.all(a == c))"
      ],
      "language": "python",
      "metadata": {},
@@ -231,9 +242,9 @@
      "input": [
       "x = np.arange(-5, 5, 0.1)\n",
       "y = np.arange(-8, 8, 0.25)\n",
-      "print x.shape, y.shape\n",
+      "print(x.shape, y.shape)\n",
       "z = x[np.newaxis, :] * y[:, np.newaxis]\n",
-      "print z.shape"
+      "print(z.shape)"
      ],
      "language": "python",
      "metadata": {},
@@ -245,9 +256,9 @@
      "input": [
       "# More concisely\n",
       "y, x = np.ogrid[-8:8:0.25, -5:5:0.1]\n",
-      "print x.shape, y.shape\n",
+      "print(x.shape, y.shape)\n",
       "z = x * y\n",
-      "print z.shape"
+      "print(z.shape)"
      ],
      "language": "python",
      "metadata": {},

AnatomyOfMatplotlib-Part1-pyplot.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:c7159e6f4ecac56d72f7333ed9bb24bbfeb4c66fba3000a1b2cb3c382fd148fd"
+  "signature": "sha256:6302a88e9db31d8d9cfae2b0103e57708f94b802a561930d11298cd246e9d590"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -12,6 +12,8 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "# Let printing work the same in Python 2 and 3\n",
+      "from __future__ import print_function\n",
       "# Turning on inline plots -- just for use in ipython notebooks.\n",
       "%matplotlib inline"
      ],
@@ -64,8 +66,8 @@
      "collapsed": false,
      "input": [
       "import matplotlib\n",
-      "print matplotlib.__version__\n",
-      "print matplotlib.get_backend()"
+      "print(matplotlib.__version__)\n",
+      "print(matplotlib.get_backend())"
      ],
      "language": "python",
      "metadata": {},

AnatomyOfMatplotlib-Part2-HowToSpeakMPL.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:e1f772cda181207fb767d95705c04a7a3d95f8d83188cf282ca42ddd7bde2d9c"
+  "signature": "sha256:fd78007a40ee7741b1dcfaa7d2433f856d967b938376774e12322eeccaf2f9ec"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -12,6 +12,8 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "# Let printing work the same in Python 2 and 3\n",
+      "from __future__ import print_function\n",
       "# Turning on inline plots -- just for use in ipython notebooks.\n",
       "%matplotlib inline\n",
       "import numpy as np\n",
@@ -574,7 +576,7 @@
      "collapsed": false,
      "input": [
       "import matplotlib\n",
-      "print matplotlib.matplotlib_fname()"
+      "print(matplotlib.matplotlib_fname())"
      ],
      "language": "python",
      "metadata": {},

AnatomyOfMatplotlib-Part3-Artists.ipynb

@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:8e508bf3316b2a5e920e25f9597d595277a37bede03ba337428c5c16762373a7"
+  "signature": "sha256:0ed463ce3e3c15589941f95292232da728af5c8fd4698e2ece99a953d2619171"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -12,6 +12,8 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
+      "# Let printing work the same in Python 2 and 3\n",
+      "from __future__ import print_function\n",
       "# Turning on inline plots -- just for use in ipython notebooks.\n",
       "%matplotlib inline\n",
       "import numpy as np\n",
@@ -171,7 +173,7 @@
      "collapsed": false,
      "input": [
       "fig, ax = plt.subplots(1, 1)\n",
-      "print plt.getp(fig.patch)"
+      "print(plt.getp(fig.patch))"
      ],
      "language": "python",
      "metadata": {},