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NumPy Cookbook

You're reading from  NumPy Cookbook

Product type Book
Published in Oct 2012
Publisher Packt
ISBN-13 9781849518925
Pages 226 pages
Edition 1st Edition
Languages

Table of Contents (17) Chapters

NumPy Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Winding Along with IPython 2. Advanced Indexing and Array Concepts 3. Get to Grips with Commonly Used Functions 4. Connecting NumPy with the Rest of the World 5. Audio and Image Processing 6. Special Arrays and Universal Functions 7. Profiling and Debugging 8. Quality Assurance 9. Speed Up Code with Cython 10. Fun with Scikits Index

Exporting a web notebook


Sometimes you will want to exchange notebooks with friends or colleagues. The web notebook provides several methods to export your data.

How to do it...

A web notebook can be exported using the following options:

  • The Print option: The Print button doesn't actually print the notebook, but allows you to export the notebook as PDF or HTML document.

  • Downloading the notebook: Download your notebook to a location chosen by you, using the Download button. We can specify whether we want to download the notebook as .py file, which is just a normal Python program, or in the JSON format as a .ipynb file. The notebook we created in the previous recipe looks like the following, after exporting:

    {
     "metadata": {
      "name": "Untitled1"
     }, 
     "nbformat": 2, 
     "worksheets": [
      {
        "cells": [
        {
          "cell_type": "code", 
          "collapsed": false, 
          "input": [
            "plot(sinc(a))"
          ], 
          "language": "python", 
          "outputs": [
          {
            "output_type": "pyout", 
            "prompt_number": 3, 
            "text": [
              "[<matplotlib.lines.Line2D at 0x103d9c690>]"
            ]
          }, 
          {
            "output_type": "display_data", 
            "png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAD9CAYAAABZVQdHAAAABHNCSVQICAgIf...
              mgkAAAAASUVORK5CYII=\n"
          }
          ], 
          "prompt_number": 3
        }
        ]
      }
      ]
    }

    Note

    Some of the text has been omitted for brevity. This file is not intended for editing or reading even, but it is pretty readable if you ignore the image representation part. For more information about JSON please see https://en.wikipedia.org/wiki/JSON.

  • Saving the notebook: Save the notebook using the Save button. This will automatically export a notebook in the native JSON .ipynb format. The file will be stored in the directory where you started IPython initially.

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NumPy Cookbook
Published in: Oct 2012 Publisher: Packt ISBN-13: 9781849518925
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