iterrows
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
iterrows has 12 facts recorded in Dontopedia across 5 references, with 1 live disagreement.
Mostly:rdf:type(5), returns(1), yields(1)
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.
hasIteratorHas Iterator(1)
- Row Iteration Loop
ex:row-iteration-loop
includesIncludes(1)
- Pandas Features
ex:pandas-features
isIteratedOverIs Iterated Over(1)
- Datasets Variable
ex:datasets-variable
operatedByOperated by(1)
- Df Variable
ex:df-variable
usesMethodUses Method(1)
- Task Iteration Loop
ex:task-iteration-loop
usesRowAccessMethodUses Row Access Method(1)
- Code Loop
ex:code-loop
Other facts (8)
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 |
|---|---|---|
| Rdf:type | Pandas Method | [1] |
| Rdf:type | Data Frame Method | [2] |
| Rdf:type | Method | [3] |
| Rdf:type | Data Frame Method | [4] |
| Rdf:type | Method | [5] |
| Returns | Index Row Pairs | [4] |
| Yields | Index Row Pairs | [4] |
| Iterates Over | Datasets Variable | [5] |
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 (5)
ctx:claims/beam/8875379a-0096-4edc-9bd8-85818abb8b5a- full textbeam-chunktext/plain1 KB
doc:beam/8875379a-0096-4edc-9bd8-85818abb8b5aShow excerpt
# Calculate target completion duration for 85% completion target_completion_duration = total_duration * 0.85 # Track progress completed_tasks = [] remaining_duration = total_duration for _, row in df.iterrows(): if remaining_duration …
ctx:claims/beam/b296f27d-a550-49c1-ae24-6118c21f96b1ctx:claims/beam/74437243-4507-4df1-b2dc-c949aea841d6ctx:claims/beam/8a8ba0bd-963d-48a2-bf75-5996f4b183b0- full textbeam-chunktext/plain1 KB
doc:beam/8a8ba0bd-963d-48a2-bf75-5996f4b183b0Show excerpt
- The function applies each practice in sequence to the tokens. 4. **Testing and Validation**: - The code tests the function with different types of queries and prints the results. ### Additional Considerations - **Efficiency**: En…
ctx:claims/beam/61792165-cff9-46be-a110-fcf966f90117- full textbeam-chunktext/plain1 KB
doc:beam/61792165-cff9-46be-a110-fcf966f90117Show excerpt
datasets = pd.read_csv('datasets.csv') # Define secure tuning function def secure_tuning(row): # Implement secure tuning logic here # Example: Check if a condition is met compliant = row['some_column'] > 0 # Replace with actua…
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