Graph Drawing Code
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Graph Drawing Code has 11 facts recorded in Dontopedia across 1 reference, with 3 live disagreements.
Mostly:calls(4), uses library(2), follows sequence(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
is-used-byIs Used by(2)
- Matplotlib Library
ex:matplotlib-library - Networkx Library
ex:networkx-library
containsContains(1)
- Code Block
ex:code-block
has-code-exampleHas Code Example(1)
- Source Document
ex:source-document
is-visualized-byIs Visualized by(1)
- Pipeline Stages Data Flow Diagram
ex:Pipeline Stages Data Flow Diagram
Other facts (11)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Calls | Nx.draw Networkx Function | [1] |
| Calls | Plt.title Function | [1] |
| Calls | Plt.axis Function | [1] |
| Calls | Plt.show Function | [1] |
| Uses Library | Networkx Library | [1] |
| Uses Library | Matplotlib Library | [1] |
| Follows Sequence | Define Stages | [1] |
| Follows Sequence | Create Directed Graph | [1] |
| Assigns | Pos Variable | [1] |
| Realizes | Pipeline Stages Data Flow Diagram | [1] |
| Implements | Draw the Graph | [1] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (1)
ctx:claims/beam/bc277101-fe89-4b35-969e-d9522814161c- full textbeam-chunktext/plain1 KB
doc:beam/bc277101-fe89-4b35-969e-d9522814161cShow excerpt
# Draw the graph pos = nx.spring_layout(G) nx.draw_networkx(G, pos, with_labels=True, node_color="lightblue", node_size=2000, font_size=10, font_color="black") plt.title("Pipeline Stages Data Flow Diagram") plt.axis("off") plt.show() ``` #…
See also
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