Groupby Operation
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Groupby Operation has 6 facts recorded in Dontopedia across 2 references.
Mostly:groups by(1), calculates(1), uses method(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (2)
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assignsValueAssigns Value(1)
- Variable Assignment
ex:variable-assignment
performsPerforms(1)
- Code
ex:code
Other facts (6)
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 |
|---|---|---|
| Groups by | Sprint Label | [1] |
| Calculates | Mean Duration | [1] |
| Uses Method | Mean Calculation | [1] |
| Uses Syntax | Pandas Groupby Syntax | [1] |
| Rdf:type | Pandas Group by | [2] |
| Groups on Column | Sprint Label | [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 (2)
ctx:claims/beam/c558ee28-b0f0-4fea-a6b8-c2f3ea17339e- full textbeam-chunktext/plain984 B
doc:beam/c558ee28-b0f0-4fea-a6b8-c2f3ea17339eShow excerpt
- `sprint_durations` randomly assigns either 2 or 3 weeks to each task. - `sprint_labels` labels each task as either "2 weeks" or "3 weeks". 2. **Create DataFrame:** - The DataFrame `sprint_data` contains the task IDs, their sprin…
ctx:claims/beam/16d89879-916d-41b5-b2b5-74925939f0b9- full textbeam-chunktext/plain1 KB
doc:beam/16d89879-916d-41b5-b2b5-74925939f0b9Show excerpt
Here's an example implementation: ```python import pandas as pd import numpy as np # Generate sample data for 50 tasks np.random.seed(0) # For reproducibility task_ids = [f'Task {i+1}' for i in range(50)] sprint_durations = np.random.cho…
See also
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