Recipes

A place to store recipes.

Graph visualisations

Assuming df = vault.get_note_metadata()

Matplotlib

Matplotlib visualisation here is static (works best on small vaults). The colours are to distinguish between notes that exist and don't yet exist as files:

color_cat_map = {False: '#D3D3D3', True: '#826ED9'}
color_vals = (df['note_exists']
              .map(color_cat_map)
              .values)

fig, ax = plt.subplots(figsize=(13,7))
nx.draw(vault.graph, node_color=color_vals, with_labels=True, ax=ax)
ax.set_title('Vault graph')
plt.show()

The example above is used in the obsidiantools demo.

If you wanted to use front matter title info, for example, change the labels argument of nx.draw:

fm_titles_dict = {k:v.get('title', '') for k,v
                  in vault.front_matter_index.items()}

# ...
nx.draw(vault.graph, node_color=color_vals, labels=fm_titles_dict, with_labels=True, ax=ax)
# ...

Pyvis

Basic Pyvis graph, which can be interactive (500px height, 800px width view):

from pyvis.network import Network

nt = Network('500px', '800px', directed=True)
nt.from_nx(vault.graph)
nt.show('nx.html')