##// END OF EJS Templates
Merge pull request #3162 from ivanov/output-stream-kwarg...
Merge pull request #3162 from ivanov/output-stream-kwarg adding stream kwarg to current.new_output This was missing, and made unnecessarily clunky to create output cells of stream type using the nbformat API. Before this commit, you had to do something like from IPython.nbformat import current as c output = c.new_output('stream', the_text) output['stream'] = 'stdout' after this commit from IPython.nbformat import current as c output = c.new_output('stream', the_text, stream='stdout') and actually, that stream= argument defaults to 'stdout' if it isn't given. I modified a test that will break if this functionality is ever removed.

File last commit:

r5745:943a2321
r10190:c3b429bd merge
Show More
nbexamples.py
109 lines | 2.2 KiB | text/x-python | PythonLexer
import os
from base64 import encodestring
from ..nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_worksheet, new_notebook, new_output,
new_metadata, new_author
)
# some random base64-encoded *bytes*
png = encodestring(os.urandom(5))
jpeg = encodestring(os.urandom(6))
ws = new_worksheet(name='worksheet1')
ws.cells.append(new_text_cell(
u'html',
source='Some NumPy Examples',
rendered='Some NumPy Examples'
))
ws.cells.append(new_code_cell(
input='import numpy',
prompt_number=1,
collapsed=False
))
ws.cells.append(new_text_cell(
u'markdown',
source='A random array',
rendered='A random array'
))
ws.cells.append(new_code_cell(
input='a = numpy.random.rand(100)',
prompt_number=2,
collapsed=True
))
ws.cells.append(new_code_cell(
input='print a',
prompt_number=3,
collapsed=False,
outputs=[new_output(
output_type=u'pyout',
output_text=u'<array a>',
output_html=u'The HTML rep',
output_latex=u'$a$',
output_png=png,
output_jpeg=jpeg,
output_svg=u'<svg>',
output_json=u'json data',
output_javascript=u'var i=0;',
prompt_number=3
),new_output(
output_type=u'display_data',
output_text=u'<array a>',
output_html=u'The HTML rep',
output_latex=u'$a$',
output_png=png,
output_jpeg=jpeg,
output_svg=u'<svg>',
output_json=u'json data',
output_javascript=u'var i=0;'
),new_output(
output_type=u'pyerr',
etype=u'NameError',
evalue=u'NameError was here',
traceback=[u'frame 0', u'frame 1', u'frame 2']
)]
))
authors = [new_author(name='Bart Simpson',email='bsimpson@fox.com',
affiliation=u'Fox',url=u'http://www.fox.com')]
md = new_metadata(name=u'My Notebook',license=u'BSD',created=u'8601_goes_here',
modified=u'8601_goes_here',gistid=u'21341231',authors=authors)
nb0 = new_notebook(
worksheets=[ws, new_worksheet(name='worksheet2')],
metadata=md
)
nb0_py = """# -*- coding: utf-8 -*-
# <nbformat>2</nbformat>
# <htmlcell>
# Some NumPy Examples
# <codecell>
import numpy
# <markdowncell>
# A random array
# <codecell>
a = numpy.random.rand(100)
# <codecell>
print a
"""