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@fperez
Last active August 29, 2015 14:10
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Bug in programmatic notebook creation?
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Creating an IPython Notebook programatically"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import IPython.nbformat as nbf"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's create the new notebook object first:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"nb = nbf.v4.new_notebook()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For this example, we populate it with a simple text cell and one with code. Empty notebooks are OK too, this is just for illustration purposes:"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"text = \"This is an auto-generated notebook.\"\n",
"code = \"1+2\"\n",
"\n",
"nb['cells'] = [nbf.v4.new_markdown_cell(text),\n",
" nbf.v4.new_code_cell(code) ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we write it to a file on disk that we can then open as a new notebook.\n",
"\n",
"Note: This should be as easy as: `nbf.write(nb, fname)`, but the current api is a little more verbose and needs a real file-like\n",
"object. We're fixing that."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"filename = 'test.ipynb'\n",
"\n",
"with open(filename, 'w') as f:\n",
" nbf.write(nb, f)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This notebook can be run at the command line with:\n",
"\n",
" ipython -c '%run test.ipynb'\n",
"\n",
"Or you can open it [as a live notebook](test.ipynb)."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "IPython (Python 2)",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.5+"
},
"signature": "sha256:daf65ba716d91340958662ecb313dece45cefb4286ed0aeb9e7f8c73ffd4b595"
},
"nbformat": 4,
"nbformat_minor": 0
}
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