From da916d2ad1b6af46b84e895cd93b6597cf90403a Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 15 Jan 2026 21:51:57 +0000 Subject: [PATCH 1/7] feat(seaborn): implement smith-chart-basic --- .../implementations/seaborn.py | 140 ++++++++++++++++++ 1 file changed, 140 insertions(+) create mode 100644 plots/smith-chart-basic/implementations/seaborn.py diff --git a/plots/smith-chart-basic/implementations/seaborn.py b/plots/smith-chart-basic/implementations/seaborn.py new file mode 100644 index 0000000000..994f31a137 --- /dev/null +++ b/plots/smith-chart-basic/implementations/seaborn.py @@ -0,0 +1,140 @@ +"""pyplots.ai +smith-chart-basic: Smith Chart for RF/Impedance +Library: seaborn | Python 3.13 +Quality: pending | Created: 2026-01-15 +""" + +import matplotlib.pyplot as plt +import numpy as np +import seaborn as sns +from matplotlib.lines import Line2D + + +# Set seaborn style for better aesthetics +sns.set_style("whitegrid") +sns.set_context("talk", font_scale=1.2) + +# Reference impedance (ohms) +z0 = 50 + +# Generate frequency sweep data (1 GHz to 6 GHz, 50 points) +np.random.seed(42) +n_points = 50 +freq_ghz = np.linspace(1, 6, n_points) + +# Simulate a realistic impedance locus (antenna-like behavior) +# Start near matched, go through reactive region, return toward center +t = np.linspace(0, 2 * np.pi, n_points) +# Spiral-like pattern typical of antenna impedance vs frequency +z_real = 50 + 30 * np.sin(t) + 15 * np.cos(2 * t) +z_imag = 40 * np.sin(1.5 * t) + 20 * np.cos(t) + +# Normalize impedance to reference +z_norm = (z_real + 1j * z_imag) / z0 + +# Calculate reflection coefficient (Gamma) +gamma = (z_norm - 1) / (z_norm + 1) +gamma_real = gamma.real +gamma_imag = gamma.imag + +# Create figure (square for Smith chart) +fig, ax = plt.subplots(figsize=(12, 12)) + +# Draw Smith chart grid +# Constant resistance circles +r_values = [0, 0.2, 0.5, 1, 2, 5] +theta = np.linspace(0, 2 * np.pi, 200) + +for r in r_values: + # Circle center and radius in Gamma plane + center = r / (r + 1) + radius = 1 / (r + 1) + # Parametric circle + circle_x = center + radius * np.cos(theta) + circle_y = radius * np.sin(theta) + # Clip to unit circle + mask = circle_x**2 + circle_y**2 <= 1.001 + ax.plot(circle_x[mask], circle_y[mask], color="#306998", alpha=0.4, linewidth=1) + +# Constant reactance arcs +x_values = [0.2, 0.5, 1, 2, 5] + +for x in x_values: + # Positive reactance arc (inductive) + center_y = 1 / x + radius = 1 / x + arc_theta = np.linspace(-np.pi / 2, np.pi / 2, 200) + arc_x = 1 + radius * np.cos(arc_theta) + arc_y = center_y + radius * np.sin(arc_theta) + mask = (arc_x**2 + arc_y**2 <= 1.001) & (arc_x >= -0.001) + ax.plot(arc_x[mask], arc_y[mask], color="#D4A017", alpha=0.7, linewidth=1.5) + + # Negative reactance arc (capacitive) + arc_y_neg = -center_y + radius * np.sin(arc_theta) + mask_neg = (arc_x**2 + arc_y_neg**2 <= 1.001) & (arc_x >= -0.001) + ax.plot(arc_x[mask_neg], arc_y_neg[mask_neg], color="#D4A017", alpha=0.7, linewidth=1.5) + +# Draw unit circle (|Gamma| = 1 boundary) +unit_theta = np.linspace(0, 2 * np.pi, 200) +ax.plot(np.cos(unit_theta), np.sin(unit_theta), color="#306998", linewidth=2.5) + +# Draw horizontal axis (real axis) +ax.axhline(0, color="#306998", linewidth=1.5, alpha=0.6) + +# Plot impedance locus using seaborn lineplot for the trajectory +# First plot the main line +sns.lineplot(x=gamma_real, y=gamma_imag, color="#E74C3C", linewidth=3, ax=ax, legend=False, sort=False) + +# Add markers at key frequency points +key_indices = [0, n_points // 4, n_points // 2, 3 * n_points // 4, n_points - 1] +ax.scatter( + gamma_real[key_indices], gamma_imag[key_indices], s=200, color="#E74C3C", edgecolor="white", linewidth=2, zorder=10 +) + +# Label key frequency points +for idx in key_indices: + offset = (10, 10) if gamma_imag[idx] >= 0 else (10, -15) + ax.annotate( + f"{freq_ghz[idx]:.1f} GHz", + (gamma_real[idx], gamma_imag[idx]), + textcoords="offset points", + xytext=offset, + fontsize=14, + fontweight="bold", + color="#2C3E50", + ) + +# Mark the center (matched condition) +ax.scatter([0], [0], s=150, color="#27AE60", marker="+", linewidths=3, zorder=10) +ax.annotate( + "Z₀ (50Ω)", (0, 0), textcoords="offset points", xytext=(-40, -20), fontsize=14, color="#27AE60", fontweight="bold" +) + +# Add VSWR circle (|Gamma| = 0.5, VSWR = 3:1) +vswr_radius = 0.5 +vswr_circle_x = vswr_radius * np.cos(unit_theta) +vswr_circle_y = vswr_radius * np.sin(unit_theta) +ax.plot(vswr_circle_x, vswr_circle_y, "--", color="#9B59B6", linewidth=2, alpha=0.8) +ax.annotate("VSWR 3:1", (0.35, 0.35), fontsize=12, color="#9B59B6", fontweight="bold") + +# Styling +ax.set_xlim(-1.15, 1.15) +ax.set_ylim(-1.15, 1.15) +ax.set_aspect("equal") +ax.set_xlabel("Real(Γ)", fontsize=20) +ax.set_ylabel("Imag(Γ)", fontsize=20) +ax.set_title("smith-chart-basic · seaborn · pyplots.ai", fontsize=24, fontweight="bold", pad=20) +ax.tick_params(axis="both", labelsize=16) +ax.grid(False) # Turn off default grid, we drew our own Smith grid + +# Add legend for the grid lines +legend_elements = [ + Line2D([0], [0], color="#306998", linewidth=2, alpha=0.6, label="Constant R circles"), + Line2D([0], [0], color="#D4A017", linewidth=2, alpha=0.8, label="Constant X arcs"), + Line2D([0], [0], color="#E74C3C", linewidth=3, label="Impedance locus"), + Line2D([0], [0], color="#9B59B6", linewidth=2, linestyle="--", label="VSWR 3:1 circle"), +] +ax.legend(handles=legend_elements, loc="upper left", fontsize=14, framealpha=0.9) + +plt.tight_layout() +plt.savefig("plot.png", dpi=300, bbox_inches="tight") From d25141f2e5a43e882241123ad7835d253163d200 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 15 Jan 2026 21:52:08 +0000 Subject: [PATCH 2/7] chore(seaborn): add metadata for smith-chart-basic --- plots/smith-chart-basic/metadata/seaborn.yaml | 19 +++++++++++++++++++ 1 file changed, 19 insertions(+) create mode 100644 plots/smith-chart-basic/metadata/seaborn.yaml diff --git a/plots/smith-chart-basic/metadata/seaborn.yaml b/plots/smith-chart-basic/metadata/seaborn.yaml new file mode 100644 index 0000000000..3a4125f406 --- /dev/null +++ b/plots/smith-chart-basic/metadata/seaborn.yaml @@ -0,0 +1,19 @@ +# Per-library metadata for seaborn implementation of smith-chart-basic +# Auto-generated by impl-generate.yml + +library: seaborn +specification_id: smith-chart-basic +created: '2026-01-15T21:52:07Z' +updated: '2026-01-15T21:52:07Z' +generated_by: claude-opus-4-5-20251101 +workflow_run: 21047488885 +issue: 3792 +python_version: 3.13.11 +library_version: 0.13.2 +preview_url: https://storage.googleapis.com/pyplots-images/plots/smith-chart-basic/seaborn/plot.png +preview_thumb: https://storage.googleapis.com/pyplots-images/plots/smith-chart-basic/seaborn/plot_thumb.png +preview_html: null +quality_score: null +review: + strengths: [] + weaknesses: [] From 6cbec220c2ffcd5e961dceb1fb273f2d3df091aa Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 15 Jan 2026 21:55:01 +0000 Subject: [PATCH 3/7] chore(seaborn): update quality score 78 and review feedback for smith-chart-basic --- .../implementations/seaborn.py | 6 +- plots/smith-chart-basic/metadata/seaborn.yaml | 214 +++++++++++++++++- 2 files changed, 210 insertions(+), 10 deletions(-) diff --git a/plots/smith-chart-basic/implementations/seaborn.py b/plots/smith-chart-basic/implementations/seaborn.py index 994f31a137..656b83d286 100644 --- a/plots/smith-chart-basic/implementations/seaborn.py +++ b/plots/smith-chart-basic/implementations/seaborn.py @@ -1,7 +1,7 @@ -"""pyplots.ai +""" pyplots.ai smith-chart-basic: Smith Chart for RF/Impedance -Library: seaborn | Python 3.13 -Quality: pending | Created: 2026-01-15 +Library: seaborn 0.13.2 | Python 3.13.11 +Quality: 78/100 | Created: 2026-01-15 """ import matplotlib.pyplot as plt diff --git a/plots/smith-chart-basic/metadata/seaborn.yaml b/plots/smith-chart-basic/metadata/seaborn.yaml index 3a4125f406..7f972ad89d 100644 --- a/plots/smith-chart-basic/metadata/seaborn.yaml +++ b/plots/smith-chart-basic/metadata/seaborn.yaml @@ -1,10 +1,7 @@ -# Per-library metadata for seaborn implementation of smith-chart-basic -# Auto-generated by impl-generate.yml - library: seaborn specification_id: smith-chart-basic created: '2026-01-15T21:52:07Z' -updated: '2026-01-15T21:52:07Z' +updated: '2026-01-15T21:55:01Z' generated_by: claude-opus-4-5-20251101 workflow_run: 21047488885 issue: 3792 @@ -13,7 +10,210 @@ library_version: 0.13.2 preview_url: https://storage.googleapis.com/pyplots-images/plots/smith-chart-basic/seaborn/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/smith-chart-basic/seaborn/plot_thumb.png preview_html: null -quality_score: null +quality_score: 78 review: - strengths: [] - weaknesses: [] + strengths: + - Excellent implementation of Smith chart grid with mathematically correct constant + R circles and constant X arcs + - Good use of color coding to distinguish chart elements (resistance circles, reactance + arcs, impedance locus, VSWR circle) + - Realistic RF engineering scenario with antenna-like impedance behavior + - VSWR 3:1 circle is a useful optional feature from the spec + - Clean, readable code structure + weaknesses: + - Frequency labels overlap at the 1.0 GHz and 2.2 GHz points - needs offset adjustment + to prevent collision + - Missing r and x value labels on the Smith chart grid lines (e.g., r=0.5, x=1) + - Limited seaborn-specific features used - mostly matplotlib primitives with only + sns.lineplot for the locus + image_description: The plot displays a Smith chart with a unit circle boundary (blue) + containing constant resistance circles (blue, varying sizes centered along the + horizontal axis) and constant reactance arcs (gold/yellow, curving from the right + side). A red impedance locus curve traces a spiral-like path typical of antenna + behavior, with large red markers at 5 key frequency points (1.0 GHz, 2.2 GHz, + 3.6 GHz, 4.8 GHz, and 6.0 GHz) labeled in bold dark text. The chart center is + marked with a green "+" symbol labeled "Z₀ (50Ω)" indicating the matched condition. + A dashed purple VSWR 3:1 circle is shown with annotation. The legend in the upper + left explains the four main elements. Axes are labeled "Real(Γ)" and "Imag(Γ)" + with tick marks from -1.0 to 1.0. Title correctly shows "smith-chart-basic · seaborn + · pyplots.ai". + criteria_checklist: + visual_quality: + score: 32 + max: 40 + items: + - id: VQ-01 + name: Text Legibility + score: 8 + max: 10 + passed: true + comment: Most text readable, but 2.2 GHz and 1.0 GHz labels overlap slightly + due to proximity + - id: VQ-02 + name: No Overlap + score: 4 + max: 8 + passed: false + comment: The frequency labels at 1.0 GHz and 2.2 GHz overlap each other, making + them difficult to read + - id: VQ-03 + name: Element Visibility + score: 8 + max: 8 + passed: true + comment: Markers well-sized (s=200), lines appropriately thick, grid elements + visible but not overwhelming + - id: VQ-04 + name: Color Accessibility + score: 5 + max: 5 + passed: true + comment: Blue, gold, red, purple, green - all distinct, colorblind-safe palette + - id: VQ-05 + name: Layout Balance + score: 4 + max: 5 + passed: true + comment: Square aspect ratio appropriate for Smith chart, good canvas utilization, + slight margin excess + - id: VQ-06 + name: Axis Labels + score: 1 + max: 2 + passed: true + comment: Labels are Real(Gamma) and Imag(Gamma) - descriptive but no units + (dimensionless is correct for Gamma) + - id: VQ-07 + name: Grid & Legend + score: 2 + max: 2 + passed: true + comment: Grid lines subtle with alpha, legend well-positioned in upper left, + not covering data + spec_compliance: + score: 22 + max: 25 + items: + - id: SC-01 + name: Plot Type + score: 8 + max: 8 + passed: true + comment: Correct Smith chart with constant R circles and constant X arcs + - id: SC-02 + name: Data Mapping + score: 5 + max: 5 + passed: true + comment: Impedance correctly converted to reflection coefficient Gamma, properly + normalized + - id: SC-03 + name: Required Features + score: 4 + max: 5 + passed: true + comment: Has grid, impedance locus, frequency labels, VSWR circle, matched + point marker; missing r/x value labels on grid lines + - id: SC-04 + name: Data Range + score: 3 + max: 3 + passed: true + comment: Full chart visible from -1.15 to 1.15 on both axes + - id: SC-05 + name: Legend Accuracy + score: 2 + max: 2 + passed: true + comment: Legend correctly identifies all four main elements + - id: SC-06 + name: Title Format + score: 0 + max: 2 + passed: false + comment: Title format issue - minor rendering concern + data_quality: + score: 17 + max: 20 + items: + - id: DQ-01 + name: Feature Coverage + score: 6 + max: 8 + passed: true + comment: Shows impedance locus traversing multiple quadrants, but limited + demonstration of extreme R/X values + - id: DQ-02 + name: Realistic Context + score: 7 + max: 7 + passed: true + comment: Antenna impedance sweep from 1-6 GHz is a realistic RF engineering + scenario + - id: DQ-03 + name: Appropriate Scale + score: 4 + max: 5 + passed: true + comment: Values are plausible for antenna, though the spiral pattern is somewhat + idealized + code_quality: + score: 10 + max: 10 + items: + - id: CQ-01 + name: KISS Structure + score: 3 + max: 3 + passed: true + comment: 'Linear script: imports, data, plot, save, no functions/classes' + - id: CQ-02 + name: Reproducibility + score: 3 + max: 3 + passed: true + comment: Uses np.random.seed(42) + - id: CQ-03 + name: Clean Imports + score: 2 + max: 2 + passed: true + comment: All imports used (seaborn, matplotlib, numpy, Line2D) + - id: CQ-04 + name: No Deprecated API + score: 1 + max: 1 + passed: true + comment: Uses current seaborn/matplotlib APIs + - id: CQ-05 + name: Output Correct + score: 1 + max: 1 + passed: true + comment: Saves as plot.png with dpi=300 + library_features: + score: 3 + max: 5 + items: + - id: LF-01 + name: Distinctive Features + score: 3 + max: 5 + passed: true + comment: Uses sns.lineplot for locus curve with sort=False, sns.set_style + and sns.set_context for styling, but most visualization is matplotlib primitives + verdict: REJECTED +impl_tags: + dependencies: [] + techniques: + - annotations + - custom-legend + - patches + patterns: + - data-generation + - explicit-figure + - iteration-over-groups + dataprep: [] + styling: + - alpha-blending + - edge-highlighting From 5e067bacc268694a071942837105e216c66c1c4a Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 15 Jan 2026 21:59:33 +0000 Subject: [PATCH 4/7] fix(seaborn): address review feedback for smith-chart-basic Attempt 1/3 - fixes based on AI review: - Fix label overlap: Modified impedance data pattern to avoid periodic loop that caused 1.0 GHz and 6.0 GHz labels to overlap at same position - Add r/x value labels on Smith chart grid lines per spec requirements - Improve seaborn utilization: Use DataFrame with sns.lineplot and sns.scatterplot instead of raw matplotlib arrays - Smart label positioning with custom offsets for each frequency point --- .../implementations/seaborn.py | 63 +++++++++++++++---- 1 file changed, 50 insertions(+), 13 deletions(-) diff --git a/plots/smith-chart-basic/implementations/seaborn.py b/plots/smith-chart-basic/implementations/seaborn.py index 656b83d286..8fe637d87f 100644 --- a/plots/smith-chart-basic/implementations/seaborn.py +++ b/plots/smith-chart-basic/implementations/seaborn.py @@ -1,4 +1,4 @@ -""" pyplots.ai +"""pyplots.ai smith-chart-basic: Smith Chart for RF/Impedance Library: seaborn 0.13.2 | Python 3.13.11 Quality: 78/100 | Created: 2026-01-15 @@ -6,6 +6,7 @@ import matplotlib.pyplot as plt import numpy as np +import pandas as pd import seaborn as sns from matplotlib.lines import Line2D @@ -23,11 +24,11 @@ freq_ghz = np.linspace(1, 6, n_points) # Simulate a realistic impedance locus (antenna-like behavior) -# Start near matched, go through reactive region, return toward center -t = np.linspace(0, 2 * np.pi, n_points) -# Spiral-like pattern typical of antenna impedance vs frequency -z_real = 50 + 30 * np.sin(t) + 15 * np.cos(2 * t) -z_imag = 40 * np.sin(1.5 * t) + 20 * np.cos(t) +# Create a spiral pattern that doesn't close on itself (avoids label overlap) +t = np.linspace(0, 1.8 * np.pi, n_points) +# Spiral-like pattern typical of antenna impedance vs frequency with drift +z_real = 50 + 30 * np.sin(t) + 15 * np.cos(2 * t) + 10 * (t / (2 * np.pi)) +z_imag = 40 * np.sin(1.5 * t) + 20 * np.cos(t) - 15 * (t / (2 * np.pi)) # Normalize impedance to reference z_norm = (z_real + 1j * z_imag) / z0 @@ -55,6 +56,11 @@ # Clip to unit circle mask = circle_x**2 + circle_y**2 <= 1.001 ax.plot(circle_x[mask], circle_y[mask], color="#306998", alpha=0.4, linewidth=1) + # Add r value labels on the real axis (inside unit circle) + if r > 0: + label_x = r / (r + 1) - 1 / (r + 1) + 0.02 # Left edge of circle + if label_x > -0.95: + ax.text(label_x, 0.03, f"r={r}", fontsize=10, color="#306998", alpha=0.8, va="bottom") # Constant reactance arcs x_values = [0.2, 0.5, 1, 2, 5] @@ -74,6 +80,14 @@ mask_neg = (arc_x**2 + arc_y_neg**2 <= 1.001) & (arc_x >= -0.001) ax.plot(arc_x[mask_neg], arc_y_neg[mask_neg], color="#D4A017", alpha=0.7, linewidth=1.5) + # Add x value labels near the right edge of the unit circle + if x <= 2: + label_angle = np.arctan(1 / x) + label_x_pos = 0.98 * np.cos(label_angle) + label_y_pos = 0.98 * np.sin(label_angle) + ax.text(label_x_pos + 0.05, label_y_pos, f"x={x}", fontsize=10, color="#D4A017", alpha=0.9, va="center") + ax.text(label_x_pos + 0.05, -label_y_pos, f"x=-{x}", fontsize=10, color="#D4A017", alpha=0.9, va="center") + # Draw unit circle (|Gamma| = 1 boundary) unit_theta = np.linspace(0, 2 * np.pi, 200) ax.plot(np.cos(unit_theta), np.sin(unit_theta), color="#306998", linewidth=2.5) @@ -81,19 +95,42 @@ # Draw horizontal axis (real axis) ax.axhline(0, color="#306998", linewidth=1.5, alpha=0.6) +# Create DataFrame for seaborn plotting (better library utilization) +df_locus = pd.DataFrame({"gamma_real": gamma_real, "gamma_imag": gamma_imag, "freq_ghz": freq_ghz}) + # Plot impedance locus using seaborn lineplot for the trajectory -# First plot the main line -sns.lineplot(x=gamma_real, y=gamma_imag, color="#E74C3C", linewidth=3, ax=ax, legend=False, sort=False) +sns.lineplot( + data=df_locus, x="gamma_real", y="gamma_imag", color="#E74C3C", linewidth=3, ax=ax, legend=False, sort=False +) -# Add markers at key frequency points +# Add markers at key frequency points using seaborn scatterplot key_indices = [0, n_points // 4, n_points // 2, 3 * n_points // 4, n_points - 1] -ax.scatter( - gamma_real[key_indices], gamma_imag[key_indices], s=200, color="#E74C3C", edgecolor="white", linewidth=2, zorder=10 +df_markers = df_locus.iloc[key_indices].copy() +sns.scatterplot( + data=df_markers, + x="gamma_real", + y="gamma_imag", + s=200, + color="#E74C3C", + edgecolor="white", + linewidth=2, + ax=ax, + zorder=10, + legend=False, ) -# Label key frequency points +# Label key frequency points with smart positioning to avoid overlap +# Compute offsets based on position to prevent label collisions +label_offsets = { + 0: (12, -18), # 1.0 GHz - offset right and down + n_points // 4: (15, 12), # 2.2 GHz - offset right and up + n_points // 2: (12, -18), # 3.6 GHz - offset right and down + 3 * n_points // 4: (-60, 10), # 4.8 GHz - offset left + n_points - 1: (-60, -15), # 6.0 GHz - offset left +} + for idx in key_indices: - offset = (10, 10) if gamma_imag[idx] >= 0 else (10, -15) + offset = label_offsets.get(idx, (10, 10)) ax.annotate( f"{freq_ghz[idx]:.1f} GHz", (gamma_real[idx], gamma_imag[idx]), From a753f7f69fc9ff9460048fe99bb28cab30b2992e Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 15 Jan 2026 22:03:02 +0000 Subject: [PATCH 5/7] chore(seaborn): update quality score 85 and review feedback for smith-chart-basic --- .../implementations/seaborn.py | 4 +- plots/smith-chart-basic/metadata/seaborn.yaml | 156 +++++++++--------- 2 files changed, 80 insertions(+), 80 deletions(-) diff --git a/plots/smith-chart-basic/implementations/seaborn.py b/plots/smith-chart-basic/implementations/seaborn.py index 8fe637d87f..c18150b246 100644 --- a/plots/smith-chart-basic/implementations/seaborn.py +++ b/plots/smith-chart-basic/implementations/seaborn.py @@ -1,7 +1,7 @@ -"""pyplots.ai +""" pyplots.ai smith-chart-basic: Smith Chart for RF/Impedance Library: seaborn 0.13.2 | Python 3.13.11 -Quality: 78/100 | Created: 2026-01-15 +Quality: 85/100 | Created: 2026-01-15 """ import matplotlib.pyplot as plt diff --git a/plots/smith-chart-basic/metadata/seaborn.yaml b/plots/smith-chart-basic/metadata/seaborn.yaml index 7f972ad89d..698a7ecaea 100644 --- a/plots/smith-chart-basic/metadata/seaborn.yaml +++ b/plots/smith-chart-basic/metadata/seaborn.yaml @@ -1,7 +1,7 @@ library: seaborn specification_id: smith-chart-basic created: '2026-01-15T21:52:07Z' -updated: '2026-01-15T21:55:01Z' +updated: '2026-01-15T22:03:02Z' generated_by: claude-opus-4-5-20251101 workflow_run: 21047488885 issue: 3792 @@ -10,36 +10,40 @@ library_version: 0.13.2 preview_url: https://storage.googleapis.com/pyplots-images/plots/smith-chart-basic/seaborn/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/smith-chart-basic/seaborn/plot_thumb.png preview_html: null -quality_score: 78 +quality_score: 85 review: strengths: - - Excellent implementation of Smith chart grid with mathematically correct constant - R circles and constant X arcs - - Good use of color coding to distinguish chart elements (resistance circles, reactance - arcs, impedance locus, VSWR circle) - - Realistic RF engineering scenario with antenna-like impedance behavior - - VSWR 3:1 circle is a useful optional feature from the spec - - Clean, readable code structure + - Excellent Smith chart grid implementation with proper constant R circles and X + arc mathematics + - Smart label positioning with explicit offsets prevents overlapping frequency labels + - Good use of VSWR circle as optional feature from spec + - Realistic RF engineering data with antenna-like impedance trajectory + - Proper normalization to Z0=50 ohm reference impedance + - Clean color scheme with good contrast between different elements + - Custom legend explaining all chart components weaknesses: - - Frequency labels overlap at the 1.0 GHz and 2.2 GHz points - needs offset adjustment - to prevent collision - - Missing r and x value labels on the Smith chart grid lines (e.g., r=0.5, x=1) - - Limited seaborn-specific features used - mostly matplotlib primitives with only - sns.lineplot for the locus - image_description: The plot displays a Smith chart with a unit circle boundary (blue) - containing constant resistance circles (blue, varying sizes centered along the - horizontal axis) and constant reactance arcs (gold/yellow, curving from the right - side). A red impedance locus curve traces a spiral-like path typical of antenna - behavior, with large red markers at 5 key frequency points (1.0 GHz, 2.2 GHz, - 3.6 GHz, 4.8 GHz, and 6.0 GHz) labeled in bold dark text. The chart center is - marked with a green "+" symbol labeled "Z₀ (50Ω)" indicating the matched condition. - A dashed purple VSWR 3:1 circle is shown with annotation. The legend in the upper - left explains the four main elements. Axes are labeled "Real(Γ)" and "Imag(Γ)" - with tick marks from -1.0 to 1.0. Title correctly shows "smith-chart-basic · seaborn - · pyplots.ai". + - Seaborn usage is minimal - only lineplot and scatterplot for the impedance locus + while all grid lines use matplotlib directly; more seaborn integration would better + demonstrate library capabilities + - Legend line styles dont perfectly match rendered elements (solid vs alpha-blended) + - Some reactance labels extend slightly outside the unit circle making them harder + to read + image_description: 'The plot displays a Smith chart for RF/impedance visualization + on a square canvas. The chart features a dark blue outer unit circle (|Γ|=1 boundary) + with multiple constant resistance (R) circles in lighter blue centered along the + horizontal axis (r=0.2, 0.5, 1, 2, 5 labeled). Golden/orange constant reactance + (X) arcs curve from the right edge, labeled for both positive (inductive, x=0.2, + 0.5, 1, 2) and negative (capacitive, x=-0.2, -0.5, -1, -2) values. A red impedance + locus curve traces through the chart showing the frequency sweep trajectory from + 1.0 GHz to 6.0 GHz, with 5 red circular markers at key frequency points (1.0, + 2.2, 3.6, 4.8, 6.0 GHz) with bold dark labels. A green "+" marker indicates the + matched condition Z₀ (50Ω) at the center. A dashed purple VSWR 3:1 circle is drawn + at |Γ|=0.5 with a purple label. The legend in the upper left shows all four elements. + Axes are labeled Real(Γ) and Imag(Γ). Title follows the required format: "smith-chart-basic + · seaborn · pyplots.ai".' criteria_checklist: visual_quality: - score: 32 + score: 34 max: 40 items: - id: VQ-01 @@ -47,51 +51,47 @@ review: score: 8 max: 10 passed: true - comment: Most text readable, but 2.2 GHz and 1.0 GHz labels overlap slightly - due to proximity + comment: Text is readable but not at optimal sizes for target resolution; + fontsize=24 for title is correct - id: VQ-02 name: No Overlap - score: 4 + score: 8 max: 8 - passed: false - comment: The frequency labels at 1.0 GHz and 2.2 GHz overlap each other, making - them difficult to read + passed: true + comment: No overlapping text; smart label offsets prevent collisions - id: VQ-03 name: Element Visibility score: 8 max: 8 passed: true - comment: Markers well-sized (s=200), lines appropriately thick, grid elements - visible but not overwhelming + comment: Markers sized appropriately (s=200 for key points), lines visible - id: VQ-04 name: Color Accessibility score: 5 max: 5 passed: true - comment: Blue, gold, red, purple, green - all distinct, colorblind-safe palette + comment: Blue, orange, red, purple, green palette is colorblind-safe - id: VQ-05 name: Layout Balance - score: 4 + score: 3 max: 5 passed: true - comment: Square aspect ratio appropriate for Smith chart, good canvas utilization, - slight margin excess + comment: Square 12x12 figure is appropriate for Smith chart but could utilize + canvas better - id: VQ-06 name: Axis Labels - score: 1 + score: 2 max: 2 passed: true - comment: Labels are Real(Gamma) and Imag(Gamma) - descriptive but no units - (dimensionless is correct for Gamma) + comment: Uses Real(Γ) and Imag(Γ) which are descriptive for the domain - id: VQ-07 name: Grid & Legend - score: 2 + score: 0 max: 2 - passed: true - comment: Grid lines subtle with alpha, legend well-positioned in upper left, - not covering data + passed: false + comment: Legend line styles dont match rendered elements (solid vs alpha-blended) spec_compliance: - score: 22 + score: 23 max: 25 items: - id: SC-01 @@ -99,66 +99,65 @@ review: score: 8 max: 8 passed: true - comment: Correct Smith chart with constant R circles and constant X arcs + comment: Correct Smith chart implementation - id: SC-02 name: Data Mapping score: 5 max: 5 passed: true - comment: Impedance correctly converted to reflection coefficient Gamma, properly - normalized + comment: Impedance correctly normalized and transformed to reflection coefficient - id: SC-03 name: Required Features score: 4 max: 5 passed: true - comment: Has grid, impedance locus, frequency labels, VSWR circle, matched - point marker; missing r/x value labels on grid lines + comment: All required features present; some X arc labels extend outside unit + circle - id: SC-04 name: Data Range score: 3 max: 3 passed: true - comment: Full chart visible from -1.15 to 1.15 on both axes + comment: All data visible within chart boundaries - id: SC-05 name: Legend Accuracy score: 2 max: 2 passed: true - comment: Legend correctly identifies all four main elements + comment: Legend correctly identifies all elements - id: SC-06 name: Title Format - score: 0 + score: 1 max: 2 - passed: false - comment: Title format issue - minor rendering concern + passed: true + comment: Title uses correct format data_quality: - score: 17 + score: 18 max: 20 items: - id: DQ-01 name: Feature Coverage - score: 6 + score: 7 max: 8 passed: true - comment: Shows impedance locus traversing multiple quadrants, but limited - demonstration of extreme R/X values + comment: Shows spiral impedance locus typical of antennas, demonstrates both + inductive and capacitive regions - id: DQ-02 name: Realistic Context score: 7 max: 7 passed: true - comment: Antenna impedance sweep from 1-6 GHz is a realistic RF engineering - scenario + comment: Antenna/RF impedance sweep is a perfect real-world scenario for Smith + charts - id: DQ-03 name: Appropriate Scale score: 4 max: 5 passed: true - comment: Values are plausible for antenna, though the spiral pattern is somewhat - idealized + comment: Frequency range 1-6 GHz is realistic; impedance values around 50ohm + reference are appropriate code_quality: - score: 10 + score: 7 max: 10 items: - id: CQ-01 @@ -166,7 +165,7 @@ review: score: 3 max: 3 passed: true - comment: 'Linear script: imports, data, plot, save, no functions/classes' + comment: 'Linear script: imports, data, plot, save' - id: CQ-02 name: Reproducibility score: 3 @@ -175,22 +174,23 @@ review: comment: Uses np.random.seed(42) - id: CQ-03 name: Clean Imports - score: 2 + score: 0 max: 2 - passed: true - comment: All imports used (seaborn, matplotlib, numpy, Line2D) + passed: false + comment: Line2D import used for legend; pandas DataFrame not strictly necessary + for seaborn - id: CQ-04 name: No Deprecated API score: 1 max: 1 passed: true - comment: Uses current seaborn/matplotlib APIs + comment: No deprecated functions - id: CQ-05 name: Output Correct - score: 1 + score: 0 max: 1 - passed: true - comment: Saves as plot.png with dpi=300 + passed: false + comment: Saves as plot.png correctly but score adjusted for other issues library_features: score: 3 max: 5 @@ -200,9 +200,9 @@ review: score: 3 max: 5 passed: true - comment: Uses sns.lineplot for locus curve with sort=False, sns.set_style - and sns.set_context for styling, but most visualization is matplotlib primitives - verdict: REJECTED + comment: Uses seaborn lineplot and scatterplot with DataFrames, sns.set_style + and set_context; however core Smith chart grid uses matplotlib primitives + verdict: APPROVED impl_tags: dependencies: [] techniques: @@ -212,8 +212,8 @@ impl_tags: patterns: - data-generation - explicit-figure - - iteration-over-groups - dataprep: [] + dataprep: + - normalization styling: - alpha-blending - edge-highlighting From 4724341ad87c0904baa7ccf6a9b5b66589e8e498 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 15 Jan 2026 22:07:00 +0000 Subject: [PATCH 6/7] fix(seaborn): address review feedback for smith-chart-basic Attempt 2/3 - fixes based on AI review - Fixed VQ-07: Legend line styles now match rendered elements exactly (removed Line2D import, using plot([], []) for legend entries) - Fixed CQ-03: Removed unused Line2D import from matplotlib.lines - Fixed SC-03: Moved reactance labels inside unit circle (0.85 instead of 0.98) so they don't extend outside the chart boundary - Improved code clarity and removed alpha on legend elements --- .../implementations/seaborn.py | 50 +++++++++---------- 1 file changed, 23 insertions(+), 27 deletions(-) diff --git a/plots/smith-chart-basic/implementations/seaborn.py b/plots/smith-chart-basic/implementations/seaborn.py index c18150b246..5db9bf3943 100644 --- a/plots/smith-chart-basic/implementations/seaborn.py +++ b/plots/smith-chart-basic/implementations/seaborn.py @@ -1,4 +1,4 @@ -""" pyplots.ai +"""pyplots.ai smith-chart-basic: Smith Chart for RF/Impedance Library: seaborn 0.13.2 | Python 3.13.11 Quality: 85/100 | Created: 2026-01-15 @@ -8,7 +8,6 @@ import numpy as np import pandas as pd import seaborn as sns -from matplotlib.lines import Line2D # Set seaborn style for better aesthetics @@ -55,12 +54,12 @@ circle_y = radius * np.sin(theta) # Clip to unit circle mask = circle_x**2 + circle_y**2 <= 1.001 - ax.plot(circle_x[mask], circle_y[mask], color="#306998", alpha=0.4, linewidth=1) + ax.plot(circle_x[mask], circle_y[mask], color="#306998", linewidth=1) # Add r value labels on the real axis (inside unit circle) if r > 0: label_x = r / (r + 1) - 1 / (r + 1) + 0.02 # Left edge of circle if label_x > -0.95: - ax.text(label_x, 0.03, f"r={r}", fontsize=10, color="#306998", alpha=0.8, va="bottom") + ax.text(label_x, 0.03, f"r={r}", fontsize=10, color="#306998", va="bottom") # Constant reactance arcs x_values = [0.2, 0.5, 1, 2, 5] @@ -73,20 +72,20 @@ arc_x = 1 + radius * np.cos(arc_theta) arc_y = center_y + radius * np.sin(arc_theta) mask = (arc_x**2 + arc_y**2 <= 1.001) & (arc_x >= -0.001) - ax.plot(arc_x[mask], arc_y[mask], color="#D4A017", alpha=0.7, linewidth=1.5) + ax.plot(arc_x[mask], arc_y[mask], color="#D4A017", linewidth=1.5) # Negative reactance arc (capacitive) arc_y_neg = -center_y + radius * np.sin(arc_theta) mask_neg = (arc_x**2 + arc_y_neg**2 <= 1.001) & (arc_x >= -0.001) - ax.plot(arc_x[mask_neg], arc_y_neg[mask_neg], color="#D4A017", alpha=0.7, linewidth=1.5) + ax.plot(arc_x[mask_neg], arc_y_neg[mask_neg], color="#D4A017", linewidth=1.5) - # Add x value labels near the right edge of the unit circle + # Add x value labels inside the unit circle boundary if x <= 2: label_angle = np.arctan(1 / x) - label_x_pos = 0.98 * np.cos(label_angle) - label_y_pos = 0.98 * np.sin(label_angle) - ax.text(label_x_pos + 0.05, label_y_pos, f"x={x}", fontsize=10, color="#D4A017", alpha=0.9, va="center") - ax.text(label_x_pos + 0.05, -label_y_pos, f"x=-{x}", fontsize=10, color="#D4A017", alpha=0.9, va="center") + label_x_pos = 0.85 * np.cos(label_angle) + label_y_pos = 0.85 * np.sin(label_angle) + ax.text(label_x_pos, label_y_pos + 0.03, f"x={x}", fontsize=10, color="#D4A017", va="bottom", ha="center") + ax.text(label_x_pos, -label_y_pos - 0.03, f"x=-{x}", fontsize=10, color="#D4A017", va="top", ha="center") # Draw unit circle (|Gamma| = 1 boundary) unit_theta = np.linspace(0, 2 * np.pi, 200) @@ -95,7 +94,7 @@ # Draw horizontal axis (real axis) ax.axhline(0, color="#306998", linewidth=1.5, alpha=0.6) -# Create DataFrame for seaborn plotting (better library utilization) +# Create DataFrame for seaborn plotting df_locus = pd.DataFrame({"gamma_real": gamma_real, "gamma_imag": gamma_imag, "freq_ghz": freq_ghz}) # Plot impedance locus using seaborn lineplot for the trajectory @@ -120,13 +119,12 @@ ) # Label key frequency points with smart positioning to avoid overlap -# Compute offsets based on position to prevent label collisions label_offsets = { - 0: (12, -18), # 1.0 GHz - offset right and down - n_points // 4: (15, 12), # 2.2 GHz - offset right and up - n_points // 2: (12, -18), # 3.6 GHz - offset right and down - 3 * n_points // 4: (-60, 10), # 4.8 GHz - offset left - n_points - 1: (-60, -15), # 6.0 GHz - offset left + 0: (12, -18), + n_points // 4: (15, 12), + n_points // 2: (12, -18), + 3 * n_points // 4: (-60, 10), + n_points - 1: (-60, -15), } for idx in key_indices: @@ -151,7 +149,7 @@ vswr_radius = 0.5 vswr_circle_x = vswr_radius * np.cos(unit_theta) vswr_circle_y = vswr_radius * np.sin(unit_theta) -ax.plot(vswr_circle_x, vswr_circle_y, "--", color="#9B59B6", linewidth=2, alpha=0.8) +ax.plot(vswr_circle_x, vswr_circle_y, "--", color="#9B59B6", linewidth=2) ax.annotate("VSWR 3:1", (0.35, 0.35), fontsize=12, color="#9B59B6", fontweight="bold") # Styling @@ -164,14 +162,12 @@ ax.tick_params(axis="both", labelsize=16) ax.grid(False) # Turn off default grid, we drew our own Smith grid -# Add legend for the grid lines -legend_elements = [ - Line2D([0], [0], color="#306998", linewidth=2, alpha=0.6, label="Constant R circles"), - Line2D([0], [0], color="#D4A017", linewidth=2, alpha=0.8, label="Constant X arcs"), - Line2D([0], [0], color="#E74C3C", linewidth=3, label="Impedance locus"), - Line2D([0], [0], color="#9B59B6", linewidth=2, linestyle="--", label="VSWR 3:1 circle"), -] -ax.legend(handles=legend_elements, loc="upper left", fontsize=14, framealpha=0.9) +# Add legend with matching line styles +ax.plot([], [], color="#306998", linewidth=1, label="Constant R circles") +ax.plot([], [], color="#D4A017", linewidth=1.5, label="Constant X arcs") +ax.plot([], [], color="#E74C3C", linewidth=3, label="Impedance locus") +ax.plot([], [], color="#9B59B6", linewidth=2, linestyle="--", label="VSWR 3:1 circle") +ax.legend(loc="upper left", fontsize=14, framealpha=0.9) plt.tight_layout() plt.savefig("plot.png", dpi=300, bbox_inches="tight") From 9424d60c9fc13c275aaf6fc1012b555056b9f899 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Thu, 15 Jan 2026 22:10:29 +0000 Subject: [PATCH 7/7] chore(seaborn): update quality score 90 and review feedback for smith-chart-basic --- .../implementations/seaborn.py | 4 +- plots/smith-chart-basic/metadata/seaborn.yaml | 143 +++++++++--------- 2 files changed, 72 insertions(+), 75 deletions(-) diff --git a/plots/smith-chart-basic/implementations/seaborn.py b/plots/smith-chart-basic/implementations/seaborn.py index 5db9bf3943..2ef5d2568f 100644 --- a/plots/smith-chart-basic/implementations/seaborn.py +++ b/plots/smith-chart-basic/implementations/seaborn.py @@ -1,7 +1,7 @@ -"""pyplots.ai +""" pyplots.ai smith-chart-basic: Smith Chart for RF/Impedance Library: seaborn 0.13.2 | Python 3.13.11 -Quality: 85/100 | Created: 2026-01-15 +Quality: 90/100 | Created: 2026-01-15 """ import matplotlib.pyplot as plt diff --git a/plots/smith-chart-basic/metadata/seaborn.yaml b/plots/smith-chart-basic/metadata/seaborn.yaml index 698a7ecaea..55d28a8fdd 100644 --- a/plots/smith-chart-basic/metadata/seaborn.yaml +++ b/plots/smith-chart-basic/metadata/seaborn.yaml @@ -1,7 +1,7 @@ library: seaborn specification_id: smith-chart-basic created: '2026-01-15T21:52:07Z' -updated: '2026-01-15T22:03:02Z' +updated: '2026-01-15T22:10:29Z' generated_by: claude-opus-4-5-20251101 workflow_run: 21047488885 issue: 3792 @@ -10,88 +10,83 @@ library_version: 0.13.2 preview_url: https://storage.googleapis.com/pyplots-images/plots/smith-chart-basic/seaborn/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/smith-chart-basic/seaborn/plot_thumb.png preview_html: null -quality_score: 85 +quality_score: 90 review: strengths: - Excellent Smith chart grid implementation with proper constant R circles and X - arc mathematics - - Smart label positioning with explicit offsets prevents overlapping frequency labels - - Good use of VSWR circle as optional feature from spec - - Realistic RF engineering data with antenna-like impedance trajectory - - Proper normalization to Z0=50 ohm reference impedance - - Clean color scheme with good contrast between different elements - - Custom legend explaining all chart components + arcs + - Smart frequency label positioning with manual offsets prevents overlap + - Complete feature set including VSWR circle and center marking + - Professional color scheme with good accessibility + - Title format exactly matches specification weaknesses: - - Seaborn usage is minimal - only lineplot and scatterplot for the impedance locus - while all grid lines use matplotlib directly; more seaborn integration would better - demonstrate library capabilities - - Legend line styles dont perfectly match rendered elements (solid vs alpha-blended) - - Some reactance labels extend slightly outside the unit circle making them harder - to read - image_description: 'The plot displays a Smith chart for RF/impedance visualization - on a square canvas. The chart features a dark blue outer unit circle (|Γ|=1 boundary) - with multiple constant resistance (R) circles in lighter blue centered along the - horizontal axis (r=0.2, 0.5, 1, 2, 5 labeled). Golden/orange constant reactance - (X) arcs curve from the right edge, labeled for both positive (inductive, x=0.2, - 0.5, 1, 2) and negative (capacitive, x=-0.2, -0.5, -1, -2) values. A red impedance - locus curve traces through the chart showing the frequency sweep trajectory from - 1.0 GHz to 6.0 GHz, with 5 red circular markers at key frequency points (1.0, - 2.2, 3.6, 4.8, 6.0 GHz) with bold dark labels. A green "+" marker indicates the - matched condition Z₀ (50Ω) at the center. A dashed purple VSWR 3:1 circle is drawn - at |Γ|=0.5 with a purple label. The legend in the upper left shows all four elements. - Axes are labeled Real(Γ) and Imag(Γ). Title follows the required format: "smith-chart-basic - · seaborn · pyplots.ai".' + - Heavy reliance on matplotlib for grid drawing; seaborn only used for final locus + overlay + - Canvas utilization could be improved (square 12x12 on 16:9 target) + image_description: The plot displays a Smith chart for RF/impedance visualization. + The chart features a square 12x12 figure with proper aspect ratio. The outer boundary + is a dark blue unit circle representing |Γ|=1 (total reflection). Multiple constant + resistance circles (r=0.2, 0.5, 1, 2, 5) are drawn in blue, centered along the + horizontal real axis. Constant reactance arcs in gold/yellow (x=±0.2, ±0.5, ±1, + ±2) curve from the right edge. A red impedance locus curve traces the frequency + sweep from 1.0 GHz to 6.0 GHz, with five key frequency markers (1.0, 3.2, 4.8, + 3.6, 6.0 GHz) labeled in dark blue text. A dashed purple VSWR 3:1 circle (|Γ|=0.5) + is included. The center point is marked with a green '+' symbol and labeled 'Z₀ + (50Ω)'. A legend in the upper left shows all four element types. Axes are labeled + 'Real(Γ)' and 'Imag(Γ)' with appropriate font sizes. criteria_checklist: visual_quality: - score: 34 + score: 36 max: 40 items: - id: VQ-01 name: Text Legibility - score: 8 + score: 10 max: 10 passed: true - comment: Text is readable but not at optimal sizes for target resolution; - fontsize=24 for title is correct + comment: Title at 24pt, axis labels at 20pt, tick labels at 16pt, frequency + annotations at 14pt bold - all clearly readable - id: VQ-02 name: No Overlap score: 8 max: 8 passed: true - comment: No overlapping text; smart label offsets prevent collisions + comment: Smart label positioning with custom offsets prevents all text overlap - id: VQ-03 name: Element Visibility - score: 8 + score: 6 max: 8 passed: true - comment: Markers sized appropriately (s=200 for key points), lines visible + comment: Impedance locus clearly visible with linewidth=3, markers s=200; + grid lines could be slightly thinner - id: VQ-04 name: Color Accessibility score: 5 max: 5 passed: true - comment: Blue, orange, red, purple, green palette is colorblind-safe + comment: Blue/gold/red/purple color scheme is colorblind-safe, high contrast - id: VQ-05 name: Layout Balance score: 3 max: 5 passed: true - comment: Square 12x12 figure is appropriate for Smith chart but could utilize - canvas better + comment: Square 12x12 figure with xlim/ylim ±1.15 provides good margins, moderate + canvas utilization - id: VQ-06 name: Axis Labels score: 2 max: 2 passed: true - comment: Uses Real(Γ) and Imag(Γ) which are descriptive for the domain + comment: Real(Γ) and Imag(Γ) are descriptive for Smith chart context - id: VQ-07 name: Grid & Legend - score: 0 + score: 2 max: 2 - passed: false - comment: Legend line styles dont match rendered elements (solid vs alpha-blended) + passed: true + comment: Default grid disabled, custom Smith grid drawn with appropriate line + weights, legend well-placed spec_compliance: - score: 23 + score: 25 max: 25 items: - id: SC-01 @@ -99,38 +94,39 @@ review: score: 8 max: 8 passed: true - comment: Correct Smith chart implementation + comment: Correct Smith chart with constant resistance circles and reactance + arcs - id: SC-02 name: Data Mapping score: 5 max: 5 passed: true - comment: Impedance correctly normalized and transformed to reflection coefficient + comment: Impedance correctly normalized to Z₀=50Ω, gamma calculated properly - id: SC-03 name: Required Features - score: 4 + score: 5 max: 5 passed: true - comment: All required features present; some X arc labels extend outside unit - circle + comment: 'All spec features: grid circles/arcs, impedance locus, frequency + labels, VSWR circle, center marking' - id: SC-04 name: Data Range score: 3 max: 3 passed: true - comment: All data visible within chart boundaries + comment: Unit circle boundary properly shown with ±1.15 limits - id: SC-05 name: Legend Accuracy score: 2 max: 2 passed: true - comment: Legend correctly identifies all elements + comment: Legend correctly identifies all four element types - id: SC-06 name: Title Format - score: 1 + score: 2 max: 2 passed: true - comment: Title uses correct format + comment: 'Uses exact format: smith-chart-basic · seaborn · pyplots.ai' data_quality: score: 18 max: 20 @@ -140,24 +136,24 @@ review: score: 7 max: 8 passed: true - comment: Shows spiral impedance locus typical of antennas, demonstrates both - inductive and capacitive regions + comment: Shows spiral impedance locus typical of antenna behavior, crosses + multiple grid regions - id: DQ-02 name: Realistic Context score: 7 max: 7 passed: true - comment: Antenna/RF impedance sweep is a perfect real-world scenario for Smith - charts + comment: RF antenna impedance sweep 1-6 GHz is a realistic VNA measurement + scenario - id: DQ-03 name: Appropriate Scale score: 4 max: 5 passed: true - comment: Frequency range 1-6 GHz is realistic; impedance values around 50ohm - reference are appropriate + comment: Z₀=50Ω standard, impedance values reasonable for antenna (30-80Ω + range) code_quality: - score: 7 + score: 8 max: 10 items: - id: CQ-01 @@ -165,32 +161,32 @@ review: score: 3 max: 3 passed: true - comment: 'Linear script: imports, data, plot, save' + comment: 'Linear flow: imports → data → Smith grid → seaborn plots → styling + → save' - id: CQ-02 name: Reproducibility score: 3 max: 3 passed: true - comment: Uses np.random.seed(42) + comment: np.random.seed(42) set - id: CQ-03 name: Clean Imports score: 0 max: 2 passed: false - comment: Line2D import used for legend; pandas DataFrame not strictly necessary - for seaborn + comment: sns and pd imports present but seaborn barely used beyond lineplot/scatterplot - id: CQ-04 name: No Deprecated API score: 1 max: 1 passed: true - comment: No deprecated functions + comment: All APIs current - id: CQ-05 name: Output Correct - score: 0 + score: 1 max: 1 - passed: false - comment: Saves as plot.png correctly but score adjusted for other issues + passed: true + comment: Saves as plot.png with dpi=300 library_features: score: 3 max: 5 @@ -200,20 +196,21 @@ review: score: 3 max: 5 passed: true - comment: Uses seaborn lineplot and scatterplot with DataFrames, sns.set_style - and set_context; however core Smith chart grid uses matplotlib primitives + comment: Uses sns.lineplot and sns.scatterplot with DataFrames, sns.set_style/set_context + for theming, but heavy matplotlib reliance for grid drawing verdict: APPROVED impl_tags: dependencies: [] techniques: - annotations - - custom-legend - patches + - manual-ticks + - custom-legend patterns: - data-generation + - iteration-over-groups - explicit-figure - dataprep: - - normalization + dataprep: [] styling: - - alpha-blending - edge-highlighting + - grid-styling