Comments (7)
I'm guessing this traceback I'm getting is due to v4 not being supported:
(plotly-notebooks)moorepants@moorepants-2170p:IPython-plotly(bicycle-control)$ make run nb=bicycle_control
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/home/moorepants/Jobs/plotly/IPython-plotly/_makescripts/trim.py in <module>()
35
36 if __name__ == "__main__":
---> 37 main()
/home/moorepants/Jobs/plotly/IPython-plotly/_makescripts/trim.py in main()
21 file_ipynb = path_handler.get_file(arg, '.ipynb')
22 nb_json = ds.load_json(file_ipynb)
---> 23 cells = path_handler.load_config(arg)['cells']
24
25 if nb_json['nbformat'] == 4:
/home/moorepants/Jobs/plotly/IPython-plotly/_makescripts/common.pyc in load_config(self, arg)
56 def load_config(self, arg):
57 path_config = os.path.join(self.get_path(arg), 'config.json')
---> 58 return ds.load_json(path_config)
59
60 def load_references(self):
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/delightfulsoup/io.pyc in load_json(path_json)
45
46 with open(path_json, 'r') as f:
---> 47 return _json.load(f)
48
49
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/json/__init__.pyc in load(fp, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
288 parse_float=parse_float, parse_int=parse_int,
289 parse_constant=parse_constant, object_pairs_hook=object_pairs_hook,
--> 290 **kw)
291
292
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/json/__init__.pyc in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
336 parse_int is None and parse_float is None and
337 parse_constant is None and object_pairs_hook is None and not kw):
--> 338 return _default_decoder.decode(s)
339 if cls is None:
340 cls = JSONDecoder
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/json/decoder.pyc in decode(self, s, _w)
364
365 """
--> 366 obj, end = self.raw_decode(s, idx=_w(s, 0).end())
367 end = _w(s, end).end()
368 if end != len(s):
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/json/decoder.pyc in raw_decode(self, s, idx)
380 """
381 try:
--> 382 obj, end = self.scan_once(s, idx)
383 except StopIteration:
384 raise ValueError("No JSON object could be decoded")
ValueError: Expecting property name: line 2 column 63 (char 64)
[NbConvertApp] WARNING | pattern u'bicycle_control.tmp.ipynb' matched no files
Traceback (most recent call last):
File "/home/moorepants/anaconda/envs/plotly-notebooks/bin/ipython", line 6, in <module>
sys.exit(start_ipython())
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/__init__.py", line 120, in start_ipython
return launch_new_instance(argv=argv, **kwargs)
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/config/application.py", line 574, in launch_instance
app.start()
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/terminal/ipapp.py", line 367, in start
return self.subapp.start()
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/nbconvert/nbconvertapp.py", line 278, in start
self.convert_notebooks()
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/nbconvert/nbconvertapp.py", line 392, in convert_notebooks
self.exporter = exporter_map[self.export_format](config=self.config)
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/nbconvert/exporters/templateexporter.py", line 154, in __init__
self._init_template()
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/nbconvert/exporters/templateexporter.py", line 271, in _init_template
self._template_file_changed('template_file', self.template_file, self.template_file)
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/nbconvert/exporters/templateexporter.py", line 97, in _template_file_changed
self._load_template()
File "/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/IPython/nbconvert/exporters/templateexporter.py", line 167, in _load_template
from jinja2 import TemplateNotFound
ImportError: No module named jinja2
If you suspect this is an IPython bug, please report it at:
https://github.com/ipython/ipython/issues
or send an email to the mailing list at [email protected]
You can print a more detailed traceback right now with "%tb", or use "%debug"
to interactively debug it.
Extra-detailed tracebacks for bug-reporting purposes can be enabled via:
c.Application.verbose_crash=True
make: *** [run] Error 1
from ipython-plotly.
You are correct but you can concert it pretty easily. Something like
Ipython nbconvert f1 f2
Google nbconvert and its in the ipython docs
from ipython-plotly.
Convert*
from ipython-plotly.
Yes, I know how to use nbcovert. But there is a trim.py
in the make run target that does something and that is failing.
from ipython-plotly.
Once I install jinja2 I get this from make run
:
(plotly-notebooks)moorepants@moorepants-2170p:IPython-plotly(bicycle-control)$ make run nb=bicycle_control
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/home/moorepants/Jobs/plotly/IPython-plotly/_makescripts/trim.py in <module>()
35
36 if __name__ == "__main__":
---> 37 main()
/home/moorepants/Jobs/plotly/IPython-plotly/_makescripts/trim.py in main()
21 file_ipynb = path_handler.get_file(arg, '.ipynb')
22 nb_json = ds.load_json(file_ipynb)
---> 23 cells = path_handler.load_config(arg)['cells']
24
25 if nb_json['nbformat'] == 4:
/home/moorepants/Jobs/plotly/IPython-plotly/_makescripts/common.pyc in load_config(self, arg)
56 def load_config(self, arg):
57 path_config = os.path.join(self.get_path(arg), 'config.json')
---> 58 return ds.load_json(path_config)
59
60 def load_references(self):
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/site-packages/delightfulsoup/io.pyc in load_json(path_json)
45
46 with open(path_json, 'r') as f:
---> 47 return _json.load(f)
48
49
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/json/__init__.pyc in load(fp, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
288 parse_float=parse_float, parse_int=parse_int,
289 parse_constant=parse_constant, object_pairs_hook=object_pairs_hook,
--> 290 **kw)
291
292
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/json/__init__.pyc in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
336 parse_int is None and parse_float is None and
337 parse_constant is None and object_pairs_hook is None and not kw):
--> 338 return _default_decoder.decode(s)
339 if cls is None:
340 cls = JSONDecoder
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/json/decoder.pyc in decode(self, s, _w)
364
365 """
--> 366 obj, end = self.raw_decode(s, idx=_w(s, 0).end())
367 end = _w(s, end).end()
368 if end != len(s):
/home/moorepants/anaconda/envs/plotly-notebooks/lib/python2.7/json/decoder.pyc in raw_decode(self, s, idx)
380 """
381 try:
--> 382 obj, end = self.scan_once(s, idx)
383 except StopIteration:
384 raise ValueError("No JSON object could be decoded")
ValueError: Expecting property name: line 2 column 63 (char 64)
[NbConvertApp] WARNING | pattern u'bicycle_control.tmp.ipynb' matched no files
This application is used to convert notebook files (*.ipynb) to various other
formats.
WARNING: THE COMMANDLINE INTERFACE MAY CHANGE IN FUTURE RELEASES.
Options
-------
Arguments that take values are actually convenience aliases to full
Configurables, whose aliases are listed on the help line. For more information
on full configurables, see '--help-all'.
--init
Initialize profile with default config files. This is equivalent
to running `ipython profile create <profile>` prior to startup.
--execute
Execute the notebook prior to export.
--stdout
Write notebook output to stdout instead of files.
--debug
set log level to logging.DEBUG (maximize logging output)
--quiet
set log level to logging.CRITICAL (minimize logging output)
--inplace
Run nbconvert in place, overwriting the existing notebook (only
relevant when converting to notebook format)
--profile=<Unicode> (BaseIPythonApplication.profile)
Default: u'default'
The IPython profile to use.
--reveal-prefix=<Unicode> (RevealHelpPreprocessor.url_prefix)
Default: 'reveal.js'
The URL prefix for reveal.js. This can be a a relative URL for a local copy
of reveal.js, or point to a CDN.
For speaker notes to work, a local reveal.js prefix must be used.
--ipython-dir=<Unicode> (BaseIPythonApplication.ipython_dir)
Default: u''
The name of the IPython directory. This directory is used for logging
configuration (through profiles), history storage, etc. The default is
usually $HOME/.ipython. This option can also be specified through the
environment variable IPYTHONDIR.
--nbformat=<Enum> (NotebookExporter.nbformat_version)
Default: 4
Choices: [1, 2, 3, 4]
The nbformat version to write. Use this to downgrade notebooks.
--writer=<DottedObjectName> (NbConvertApp.writer_class)
Default: 'FilesWriter'
Writer class used to write the results of the conversion
--log-level=<Enum> (Application.log_level)
Default: 30
Choices: (0, 10, 20, 30, 40, 50, 'DEBUG', 'INFO', 'WARN', 'ERROR', 'CRITICAL')
Set the log level by value or name.
--to=<CaselessStrEnum> (NbConvertApp.export_format)
Default: 'html'
Choices: ['custom', 'html', 'latex', 'markdown', 'notebook', 'pdf', 'python', 'rst', 'script', 'slides']
The export format to be used.
--template=<Unicode> (TemplateExporter.template_file)
Default: u'default'
Name of the template file to use
--output=<Unicode> (NbConvertApp.output_base)
Default: ''
overwrite base name use for output files. can only be used when converting
one notebook at a time.
--post=<DottedOrNone> (NbConvertApp.postprocessor_class)
Default: u''
PostProcessor class used to write the results of the conversion
--config=<Unicode> (BaseIPythonApplication.extra_config_file)
Default: u''
Path to an extra config file to load.
If specified, load this config file in addition to any other IPython config.
--profile-dir=<Unicode> (ProfileDir.location)
Default: u''
Set the profile location directly. This overrides the logic used by the
`profile` option.
To see all available configurables, use `--help-all`
Examples
--------
The simplest way to use nbconvert is
> ipython nbconvert mynotebook.ipynb
which will convert mynotebook.ipynb to the default format (probably HTML).
You can specify the export format with `--to`.
Options include ['custom', 'html', 'latex', 'markdown', 'notebook', 'pdf', 'python', 'rst', 'script', 'slides']
> ipython nbconvert --to latex mynotebook.ipynb
Both HTML and LaTeX support multiple output templates. LaTeX includes
'base', 'article' and 'report'. HTML includes 'basic' and 'full'. You
can specify the flavor of the format used.
> ipython nbconvert --to html --template basic mynotebook.ipynb
You can also pipe the output to stdout, rather than a file
> ipython nbconvert mynotebook.ipynb --stdout
PDF is generated via latex
> ipython nbconvert mynotebook.ipynb --to pdf
You can get (and serve) a Reveal.js-powered slideshow
> ipython nbconvert myslides.ipynb --to slides --post serve
Multiple notebooks can be given at the command line in a couple of
different ways:
> ipython nbconvert notebook*.ipynb
> ipython nbconvert notebook1.ipynb notebook2.ipynb
or you can specify the notebooks list in a config file, containing::
c.NbConvertApp.notebooks = ["my_notebook.ipynb"]
> ipython nbconvert --config mycfg.py
make: *** [run] Error 255
from ipython-plotly.
What is the goal of make run
? I see that it "trims" the file and then runs nbconvert and switches around file names. If you can give me the exact commands you want me to run on the notebook. I'll run them.
from ipython-plotly.
FYI, the make file does seem to run fine on v4 notebooks when the correct dependencies are installed.
from ipython-plotly.
Related Issues (14)
- Possibly adding the checkpoint folder to gitignore and removing from repo HOT 1
- commas in config-init.json HOT 1
- Thumbnail
- Publish.py Checks for H1 and errors if you try and publish a notebook without h1 tags HOT 1
- Suppressed make publish output for some users
- KeyError: 'Complaint Type' in Pandas Widget - Time Series, Search, and Filtering HOT 1
- Formatting on Apache Spark Notebook - Contributor Fix
- TODOs HOT 1
- Missing dependencies from requirements.txt HOT 1
- License
- Control design notebook is missing diagram image HOT 8
- Italics docstrings don't allow for nice ASCII formatting
- Hackernews hit the bicycle control notebook yesterday and the plots are throttled
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from ipython-plotly.