Output various settings of jupyter notebook which kernel is python.
Project description
many_pynb
Output various version of python jupyter notebook from one notebook with different settings.
Installation
pip install many_pynb
Architecture
Idea of many_pynb is to run a single notebook with different configs. output notebook (nb_output.ipynb) can only indicate the same name of a file, so that file name and replace it with different configs. We can achive various types of jupyter notebook output.
Usage
Prepare two notebooks. One is for control, the other is for output.
For illustration purpose, nb_controller.ipynb is for a control notebook,
and nb_output.ipynb is for a output notebook.
controller notebook
In nb_controller.ipynb, you should prepare configs that type is json. Also specify target file.
import many_pynb
setteings = many_pynb.setup(target_file, config_paths)
and output becomes.
# many_pynb settings
- target file : nb_output.ipynb
- config files :
./configs/config0.json
./configs/config1.json
./configs/config2.json
./configs/config3.json
./configs/config4.json
- output files:
./many_pynb_output/nb_output_0.html
./many_pynb_output/nb_output_1.html
./many_pynb_output/nb_output_2.html
./many_pynb_output/nb_output_3.html
./many_pynb_output/nb_output_4.html
If you do not specify output_dir, manby_pynb_output
directory is created.
If you do not specify each file name, target_file with numbering is used for each notebook.
output notebook
You just read a config by
import many_pynb
config = many_pynb.read_config()
and the config variable contains information as a dictionary type.
Then, use this information, you can change code results.
Note : first, you should set up configs and run many_pynb.setup
and many_pynb.run
,
and tmp_many_pynb_config.json
is created. many_pynb use this file for loading each config.
Then, after creating this file, you can adjust output notebook interactively
using many_pynb.read_config
.
Sample output
Using example code, the following output can be obtained.
Text as markdown can also be adjusted using IPython.display.HTML
.
with exclude_code_block
option to be True for many_pynb.run
,
html output without code block is obtained.
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