Bringing Wardley Map magic to Jupyter notebooks
This plugin makes it easy to generate Wardley Maps using Jupyter Notebooks.
It supports a subset of the syntax defined by the Online Wardley Maps service. This simple language can be use to specify the map via the %%wardley
cell magic.
First, install Jupyter. Then before running it, install ipywardley
. e.g. if you are using pip:
pip install ipywardley
Then, run Jupyter:
jupyter-lab
Open up a new Python 3 notebook, and use this command to enable the module:
%load_ext ipywardley
Now you can use the %%wardley
directive and create maps. See this example notebook for a detailed example of how to do this.
- Support more of the OWM syntax and features (?=maybe?):
-
evolution Novel->Emerging->Good->Best
andevolution X
offering the different sets of x-axis labels. -
y-axis Value Chain->Invisible->Visible
ory-axis none
to make 'Visibility' axis optional. -
evolve
-
annotation
&annotations
? -
note
? -
market
nodes? -
pipeline
nodes? - node
inertia
? -
+<>
links to indicate flow. -
+>
links to indicate flow. -
+<
links to indicate flow. -
Hot Water+'$0.10'>Kettle
flow labels? -
build
,buy
,outsource
node augmentation? -
submap
and related syntax? -
pioneer
,settler
,townplanner
areas/boxes?
-
- Add 'Uncharted' and 'Industrialised' labels
- Support rendering from a file, via e.g.
%wardley file=example.owm style=plain
- Make it easier to download the SVG/rendered version?
- Clone this directory.
- Set up a
virtualenv
and activate it. - Modify the code.
- Run
flit install
- Run
jupyter-lab
and test your changes. - Repeat 3-5 ad infinitum.
- Turn your changes into a pull request.
- 0.0.6:
- 0.0.5: