[histogram-basic] seaborn implementation

[histogram-basic] seaborn Implementation

Parent Issue: #204
Spec: specs/histogram-basic.md
Library: seaborn
Feature Branch: plot/histogram-basic

Attempt History

Attempts will be documented below as comments.

Attempt 1/3

Technical Approach

Imports: import matplotlib.pyplot as plt, import numpy as np, import pandas as pd
Plot function: sns.histplot
Config: figsize=16, 9, color=#306998

Status

PR: feat(seaborn): implement histogram-basic #285
File: plots/seaborn/histplot/histogram-basic/default.py
Workflow: 19995638202

🧪 Test Results (PR #285)

Python:

📊 Plot Preview (Python 3.13)

seaborn (default) - UPDATE

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🧪 Test Results (PR #285)

Python:

📊 Plot Preview (Python 3.13)

seaborn (default) - UPDATE

Before	After

View version history (4 versions)

🤖 Generated by gen-preview workflow

AI Review - Attempt 1/3

Quality Evaluation

Evaluator	Score	Verdict
Claude	92/100	approve

Criteria Checklist

Visual Quality

VQ-001: Axes labeled correctly ("Value", "Frequency")
VQ-002: Grid is subtle (y-axis only, alpha=0.3, dashed style)
VQ-003: Elements clear (bars visible with good contrast, alpha=0.8)
VQ-004: No overlap (all text readable, no clipping)
VQ-005: Legend present (N/A - single series histogram)
VQ-006: Colorblind safe (steelblue is accessible)
VQ-007: Image size correct (16:9 aspect ratio)
VQ-008: Title present and centered

Code Quality

CQ-001: Type hints present (all parameters and return type)
CQ-002: Docstring complete (Args, Returns, Raises, Example)
CQ-003: Input validation (empty data, column existence, numeric type, NaN handling)
CQ-004: Clear error messages (lists available columns)
CQ-005: No magic numbers (all configurable via parameters)

Correctness

CR-001: Data accurate (correct column usage)
CR-002: Spec compliance (matches histogram-basic spec)
CR-003: Edge cases handled (empty data, NaN, missing columns)

Score Breakdown

Base: 50 points
+10 VQ-001 (axes labeled)
+5  VQ-002 (visual clarity)
+8  VQ-003 (elements clear)
+9  VQ-004 (no overlap)
+0  VQ-005 (N/A - single series)
+6  VQ-006 (colorblind safe)
+4  VQ-007 (image size)
+3  VQ-008 (title)
+7  CQ-001 (type hints)
+8  CQ-002 (docstring)
+10 CQ-003 (input validation)
+6  CQ-004 (error messages)
+4  CQ-005 (no magic numbers)
+10 CR-001 (data accurate)
+10 CR-002 (spec compliance)
+5  CR-003 (edge cases)
-3  Minor: spec uses 'value' column but impl uses 'Values' in example
= 92/100

Issues Found

None critical. Minor observation: The spec example uses 'value' as the column name, while the implementation's __main__ example uses 'Values'. This doesn't affect the function itself since the column name is parameterized.

Strengths

Excellent input validation with informative error messages
Clean seaborn integration using axes-level sns.histplot()
Proper NaN handling before plotting
Well-structured docstring with comprehensive documentation
Flexible API with sensible defaults
Visual output matches the spec's expected histogram distribution

Verdict: APPROVED ✅

The implementation meets all quality criteria with a score of 92/100 (Excellent). The code is well-structured, properly documented, and produces a clear, readable histogram that matches the specification requirements.

feat(seaborn): implement histogram-basic (#285)

Merged

seaborn implementation for histogram-basic has been merged!

PR: feat(seaborn): implement histogram-basic #285

🚀 Auto-merged by pyplots CI

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[histogram-basic] seaborn implementation #217