df
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
df has 17 facts recorded in Dontopedia across 4 references, with 4 live disagreements.
Mostly:has column(5), rdf:type(3), used by(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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.
calledOnCalled on(1)
- Csv Export Method
ex:csv-export-method
createsObjectCreates Object(1)
- Dataframe Creation
ex:dataframe-creation
iteratesOverIterates Over(1)
- Iteration Loop
ex:iteration-loop
modifiesModifies(1)
- Update Completion Percentage Function
ex:update-completion-percentage-function
modifiesDataModifies Data(1)
- Update Completion Percentage
ex:update_completion_percentage
usesUses(1)
- Calculate Overall Completion Function
ex:calculate-overall-completion-function
Other facts (16)
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 |
|---|---|---|
| Has Column | Sprint | [1] |
| Has Column | Completion Percentage | [1] |
| Has Column | Sprint | [2] |
| Has Column | Completion Percentage | [2] |
| Has Column | Task Column | [4] |
| Rdf:type | Pandas Data Frame | [1] |
| Rdf:type | Data Frame | [2] |
| Rdf:type | Pandas Data Frame | [4] |
| Used by | Update Completion Percentage Function | [2] |
| Used by | Calculate Overall Completion Function | [2] |
| Used by | Dashboard Route | [2] |
| Contains Columns | Name Column | [3] |
| Contains Columns | Age Column | [3] |
| Contains Columns | Date Column | [3] |
| Orient Parameter | records | [1] |
| Uses Library | Pandas Library | [2] |
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 (4)
ctx:claims/beam/e242bdd3-983b-4e80-9750-c9d2b771fac1ctx:claims/beam/4f2d86b9-89bd-4a30-9535-87e1824a731f- full textbeam-chunktext/plain1 KB
doc:beam/4f2d86b9-89bd-4a30-9535-87e1824a731fShow excerpt
# Total deliverables and target coverage total_deliverables = 100 target_coverage = 95 # Function to update completion percentage def update_completion_percentage(sprint, percentage): df.loc[df['Sprint'] == sprint, 'Completion Percenta…
ctx:claims/beam/b00c301c-c592-4cd6-ad07-b1de426fb5c4- full textbeam-chunktext/plain970 B
doc:beam/b00c301c-c592-4cd6-ad07-b1de426fb5c4Show excerpt
This approach should help you identify the most common date formats in your dataset and pinpoint the root cause of the inconsistencies. [Turn 4500] User: I want to evaluate the performance of OpenRefine in cleaning metadata. Can you help m…
ctx:claims/beam/d9a01296-8af8-45e2-825a-8d79ae241599- full textbeam-chunktext/plain1 KB
doc:beam/d9a01296-8af8-45e2-825a-8d79ae241599Show excerpt
{"task": "Review code", "priority": "Low", "duration": 1}, {"task": "Improve error messages", "priority": "Medium", "duration": 2}, {"task": "Enhance user interface", "priority": "Low", "duration": 1}, {"task": "Add unit tes…
See also
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