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다음과 같이 주피터 노트북의 데이터프레임을 html 포맷으로 변환할 수 있다.
1 2 3 | (tensorflow)root@localhost:~/tensorflow# jupyter nbconvert mnist_for_beginner.ipynb [NbConvertApp] Converting notebook mnist_for_beginner.ipynb to html [NbConvertApp] Writing 260242 bytes to mnist_for_beginner.html | cs |
변환 관련 옵션 및 예제
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 | 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'. --execute Execute the notebook prior to export. --allow-errors Continue notebook execution even if one of the cells throws an error and include the error message in the cell output (the default behaviour is to abort conversion). This flag is only relevant if '--execute' was specified, too. --stdout Write notebook output to stdout instead of files. --stdin read a single notebook file from stdin. Write the resulting notebook with default basename 'notebook.*' --inplace Run nbconvert in place, overwriting the existing notebook (only relevant when converting to notebook format) -y Answer yes to any questions instead of prompting. --debug set log level to logging.DEBUG (maximize logging output) --generate-config generate default config file --nbformat=<Enum> (NotebookExporter.nbformat_version) Default: 4 Choices: [1, 2, 3, 4] The nbformat version to write. Use this to downgrade notebooks. --output-dir=<Unicode> (FilesWriter.build_directory) Default: '' Directory to write output to. Leave blank to output to the current directory --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. --reveal-prefix=<Unicode> (SlidesExporter.reveal_url_prefix) Default: u'' 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. --to=<Unicode> (NbConvertApp.export_format) Default: 'html' The export format to be used, either one of the built-in formats, or a dotted object name that represents the import path for an `Exporter` class --template=<Unicode> (TemplateExporter.template_file) Default: u'' 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> (JupyterApp.config_file) Default: u'' Full path of a config file. To see all available configurables, use `--help-all` Examples -------- The simplest way to use nbconvert is > jupyter 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'] > jupyter 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. > jupyter nbconvert --to html --template basic mynotebook.ipynb You can also pipe the output to stdout, rather than a file > jupyter nbconvert mynotebook.ipynb --stdout PDF is generated via latex > jupyter nbconvert mynotebook.ipynb --to pdf You can get (and serve) a Reveal.js-powered slideshow > jupyter nbconvert myslides.ipynb --to slides --post serve Multiple notebooks can be given at the command line in a couple of different ways: > jupyter nbconvert notebook*.ipynb > jupyter nbconvert notebook1.ipynb notebook2.ipynb or you can specify the notebooks list in a config file, containing:: c.NbConvertApp.notebooks = ["my_notebook.ipynb"] > jupyter nbconvert --config mycfg.py | cs |
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