codecraftai-analysis-statistical
Patterns for authoring and porting statistical analysis jobs to Python whose results are directly comparable to the equivalent SAS jobs. Built around a reference SAS DATA-step execution model (the correctness oracle), an IR front end for inspectable user logic, a hybrid columnar / sequential executor for speed, and database source readers that follow the SAS/ACCESS-engine pattern.
Public namespace: ccai.analysis.statistical.
Documentation
Quick example
from ccai.analysis.statistical import (ObservationEngine, SetReader)
sales = [{"region": "East", "customer": "A", "amount": 10},
{"region": "East", "customer": "A", "amount": 15},
{"region": "East", "customer": "B", "amount": 7}]
def accumulate(pdv):
if pdv.first["customer"] is True:
pdv["total"] = 0
pdv["total"] = pdv["total"] + pdv["amount"]
if pdv.last["customer"] is True:
pdv.output()
return
rows = list(ObservationEngine(
reader=SetReader(source=sales, by=["region", "customer"]),
logic=accumulate, by=["region", "customer"],
retain={"total": 0}))Tests
This package uses testbase exclusively. After rehome-repository and setup-environment complete:
source .venv/bin/activate
testbase testing run --root source/testroots/ccai \
--includes=ccai.tests.singlehost --output=./.output
1 maintainer
Metadata
1 maintainer
Release files for codecraftai-analysis-statistical 1.2.1
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