Seg-Transaction-Stats #153
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WalkthroughThis pull request introduces an optional Changes
Sequence Diagram(s)sequenceDiagram
participant C as Client
participant S as SegTransactionStats
participant M as _calc_seg_stats
C->>S: Instantiate with calc_total (true/false)
S->>M: Call _calc_seg_stats(calc_total)
alt calc_total true
M->>M: Calculate segment metrics
M->>M: Calculate total metrics using ibis.union
M-->>S: Return combined metrics
else calc_total false
M->>M: Calculate segment metrics only
M-->>S: Return segment metrics only
end
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Actionable comments posted: 0
🧹 Nitpick comments (1)
pyretailscience/analysis/segmentation.py (1)
324-331: Simplify the conditional logicThe implementation could be simplified by avoiding the intermediate
final_metricsassignment.# Calculate metrics for segments segment_metrics = data.group_by(segment_col).aggregate(**aggs) -final_metrics = segment_metrics - if calc_total: total_metrics = data.aggregate(**aggs).mutate({col: ibis.literal("Total") for col in segment_col}) - final_metrics = ibis.union(segment_metrics, total_metrics) + segment_metrics = ibis.union(segment_metrics, total_metrics) total_customers = data[cols.customer_id].nunique() # Cross join with total_customers to make it available for percentage calculation -final_metrics = final_metrics.mutate( +segment_metrics = segment_metrics.mutate(This simplifies the code by avoiding the intermediate variable and makes the flow clearer.
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pyretailscience/analysis/segmentation.py(7 hunks)tests/analysis/test_segmentation.py(8 hunks)
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🧬 Code Definitions (2)
pyretailscience/analysis/segmentation.py (1)
tests/analysis/test_revenue_tree.py (1)
cols(16-18)
tests/analysis/test_segmentation.py (1)
pyretailscience/analysis/segmentation.py (4)
SegTransactionStats(188-464)df(145-149)df(355-369)df(567-571)
🔇 Additional comments (14)
tests/analysis/test_segmentation.py (9)
54-55: LGTM - Parameter addition for calc_totalThe addition of
calc_total=Trueensures this test continues to work as expected with the total row included.
84-88: LGTM - Parameter addition for calc_totalThe addition of
calc_total=Trueensures this test continues to include the total row in its assertions.
112-116: LGTM - Parameter addition for calc_totalThe addition of
calc_total=Trueensures this test continues to include the total row in its assertions.
139-145: LGTM - Parameter addition for calc_totalThe addition of
calc_total=Trueensures this test continues to include the total row in its assertions.
147-171: Great addition of test for the new functionalityThis new test case properly verifies that when
calc_total=Falseis passed, the total row is excluded from the results. The test has appropriate assertions checking that only segment rows (A, B) are present.
377-377: LGTM - Parameter addition for calc_totalThe addition of
calc_total=Trueensures this test continues to include the total row in its assertions.
421-421: LGTM - Parameter addition for calc_totalThe addition of
calc_total=Trueensures this test continues to include the total row in its assertions.
449-455: LGTM - Parameter addition for calc_totalThe addition of
calc_total=Trueensures this test continues to include the total row for the extra_aggs functionality.
468-472: LGTM - Parameter addition for calc_totalThe addition of
calc_total=Trueensures this test continues to include the total row for multiple extra_aggs tests.pyretailscience/analysis/segmentation.py (5)
197-197: LGTM - Addition of the calc_total parameterThe addition of the
calc_totalparameter with a default value ofFalseis a good choice as it maintains backward compatibility with existing code that doesn't set this parameter explicitly.
209-209: LGTM - Updated docstringThe docstring has been appropriately updated to include documentation for the new parameter.
249-249: LGTM - Updated method callThe call to
_calc_seg_statshas been updated to correctly pass the newcalc_totalparameter.
284-284: LGTM - Addition of the calc_total parameterThe
calc_totalparameter has been properly added to the static method with the same default value for consistency.
293-294: LGTM - Updated docstringThe docstring for the static method has been appropriately updated to include documentation for the new parameter.
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| self, | ||
| data: pd.DataFrame | ibis.Table, | ||
| segment_col: str | list[str] = "segment_name", | ||
| calc_total: bool = False, |
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Can you make this default to True please
mayurkmmt
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User description
feat: added params to cal total row
PR Type
Enhancement, Tests
Description
Added
calc_totalparameter to include/exclude total row.Updated
_calc_seg_statsto handlecalc_totallogic.Enhanced tests to validate
calc_totalfunctionality.Added a new test to verify exclusion of total row.
Changes walkthrough 📝
segmentation.py
Add `calc_total` parameter and update aggregation logicpyretailscience/analysis/segmentation.py
calc_totalparameter inSegTransactionStats._calc_seg_statsto conditionally include total row.test_segmentation.py
Add and update tests for `calc_total` functionalitytests/analysis/test_segmentation.py
calc_totalparameter.aggregations.
calc_totalfunctionality across various scenarios.Summary by CodeRabbit
New Features
Documentation
Tests