|
1 | | -""" pyplots.ai |
| 1 | +""" anyplot.ai |
2 | 2 | funnel-basic: Basic Funnel Chart |
3 | | -Library: seaborn 0.13.2 | Python 3.13.11 |
4 | | -Quality: 91/100 | Created: 2025-12-23 |
| 3 | +Library: seaborn 0.13.2 | Python 3.14.4 |
| 4 | +Quality: 90/100 | Updated: 2026-04-26 |
5 | 5 | """ |
6 | 6 |
|
| 7 | +import os |
| 8 | + |
7 | 9 | import matplotlib.pyplot as plt |
8 | | -import numpy as np |
9 | 10 | import seaborn as sns |
10 | 11 | from matplotlib.patches import Polygon |
11 | 12 |
|
12 | 13 |
|
13 | | -# Set seed for reproducibility |
14 | | -np.random.seed(42) |
| 14 | +# Theme tokens |
| 15 | +THEME = os.getenv("ANYPLOT_THEME", "light") |
| 16 | +PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17" |
| 17 | +INK = "#1A1A17" if THEME == "light" else "#F0EFE8" |
| 18 | +INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0" |
| 19 | +INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F" |
| 20 | + |
| 21 | +# Okabe-Ito palette — first series always #009E73 |
| 22 | +OKABE_ITO = ["#009E73", "#D55E00", "#0072B2", "#CC79A7", "#E69F00"] |
15 | 23 |
|
16 | | -# Data - Sales funnel example from specification |
| 24 | +# Sales funnel data |
17 | 25 | stages = ["Awareness", "Interest", "Consideration", "Intent", "Purchase"] |
18 | 26 | values = [1000, 600, 400, 200, 100] |
19 | 27 | max_value = values[0] |
20 | | - |
21 | | -# Calculate percentages |
22 | 28 | percentages = [v / max_value * 100 for v in values] |
| 29 | +conversions = [values[i + 1] / values[i] * 100 for i in range(len(values) - 1)] |
| 30 | +# Stage transition with the largest drop-off (lowest retention) |
| 31 | +worst_idx = min(range(len(conversions)), key=conversions.__getitem__) |
| 32 | + |
| 33 | +sns.set_theme( |
| 34 | + style="white", |
| 35 | + rc={ |
| 36 | + "figure.facecolor": PAGE_BG, |
| 37 | + "axes.facecolor": PAGE_BG, |
| 38 | + "text.color": INK, |
| 39 | + "axes.labelcolor": INK, |
| 40 | + "ytick.color": INK, |
| 41 | + "xtick.color": INK_SOFT, |
| 42 | + }, |
| 43 | +) |
| 44 | + |
| 45 | +fig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG) |
| 46 | +ax.set_facecolor(PAGE_BG) |
| 47 | + |
| 48 | +# Seaborn draws the rectangular core of each stage; trapezoidal panels added |
| 49 | +# below tie the cores into a continuous funnel silhouette in stage colors. |
| 50 | +sns.barplot( |
| 51 | + x=values, |
| 52 | + y=stages, |
| 53 | + hue=stages, |
| 54 | + order=stages, |
| 55 | + palette=OKABE_ITO[: len(stages)], |
| 56 | + ax=ax, |
| 57 | + legend=False, |
| 58 | + width=0.50, |
| 59 | + edgecolor="none", |
| 60 | +) |
| 61 | + |
| 62 | +# Center each bar on x=0 so the silhouette narrows symmetrically |
| 63 | +bars = list(ax.patches)[: len(stages)] |
| 64 | +for patch in bars: |
| 65 | + patch.set_x(-patch.get_width() / 2) |
| 66 | + |
| 67 | +# Trapezoidal panels between stages — each panel inherits the upper stage color |
| 68 | +# so visually each stage = rectangle + tapering trapezoid below it. |
| 69 | +for i in range(len(bars) - 1): |
| 70 | + p_top, p_bot = bars[i], bars[i + 1] |
| 71 | + top_y = p_top.get_y() + p_top.get_height() |
| 72 | + bot_y = p_bot.get_y() |
| 73 | + ax.add_patch( |
| 74 | + Polygon( |
| 75 | + [ |
| 76 | + (p_top.get_x(), top_y), |
| 77 | + (p_top.get_x() + p_top.get_width(), top_y), |
| 78 | + (p_bot.get_x() + p_bot.get_width(), bot_y), |
| 79 | + (p_bot.get_x(), bot_y), |
| 80 | + ], |
| 81 | + facecolor=OKABE_ITO[i], |
| 82 | + edgecolor="none", |
| 83 | + zorder=1, |
| 84 | + ) |
| 85 | + ) |
| 86 | + |
| 87 | +# Closing tail below the last stage so the funnel ends with a proper taper |
| 88 | +last_bar = bars[-1] |
| 89 | +last_top_y = last_bar.get_y() + last_bar.get_height() |
| 90 | +tail_height = 0.50 |
| 91 | +tail_bot_w = last_bar.get_width() * 0.5 |
| 92 | +ax.add_patch( |
| 93 | + Polygon( |
| 94 | + [ |
| 95 | + (last_bar.get_x(), last_top_y), |
| 96 | + (last_bar.get_x() + last_bar.get_width(), last_top_y), |
| 97 | + (tail_bot_w / 2, last_top_y + tail_height), |
| 98 | + (-tail_bot_w / 2, last_top_y + tail_height), |
| 99 | + ], |
| 100 | + facecolor=OKABE_ITO[-1], |
| 101 | + edgecolor="none", |
| 102 | + zorder=1, |
| 103 | + ) |
| 104 | +) |
| 105 | + |
| 106 | +# Emphasise the bar after the worst drop-off with a thicker outline accent |
| 107 | +worst_bar = bars[worst_idx + 1] |
| 108 | +worst_bar.set_edgecolor(INK) |
| 109 | +worst_bar.set_linewidth(2.5) |
| 110 | +worst_bar.set_zorder(3) |
| 111 | + |
| 112 | +# Value + percentage labels are placed OUTSIDE bars (right) so narrow stages |
| 113 | +# never overflow onto the page background. |
| 114 | +right_offset = max_value * 0.04 |
| 115 | +for i, patch in enumerate(bars): |
| 116 | + cy = patch.get_y() + patch.get_height() / 2 |
| 117 | + x_right = patch.get_x() + patch.get_width() |
| 118 | + ax.text( |
| 119 | + x_right + right_offset, |
| 120 | + cy, |
| 121 | + f"{values[i]:,} · {percentages[i]:.0f}%", |
| 122 | + ha="left", |
| 123 | + va="center", |
| 124 | + fontsize=18, |
| 125 | + fontweight="medium", |
| 126 | + color=INK, |
| 127 | + ) |
23 | 128 |
|
24 | | -# Seaborn styling |
25 | | -sns.set_theme(style="white") |
26 | | - |
27 | | -# Create figure |
28 | | -fig, ax = plt.subplots(figsize=(16, 9)) |
29 | | - |
30 | | -# Color palette using Python Blue to Gold progression |
31 | | -colors = sns.color_palette(["#306998", "#4078A8", "#6AA8D1", "#FFD43B", "#E8C547"]) |
32 | | - |
33 | | -# Funnel parameters |
34 | | -n_stages = len(stages) |
35 | | -funnel_height = 0.8 # Total height of funnel |
36 | | -stage_gap = 0.02 # Gap between stages |
37 | | -stage_height = (funnel_height - (n_stages - 1) * stage_gap) / n_stages |
38 | | -center_x = 0.5 |
39 | | - |
40 | | -# Draw trapezoidal funnel segments |
41 | | -for i in range(n_stages): |
42 | | - # Calculate widths - proportional to value relative to max |
43 | | - top_width = values[i] / max_value * 0.8 |
44 | | - # Bottom width is the next stage's width, or smaller for last stage |
45 | | - if i < n_stages - 1: |
46 | | - bottom_width = values[i + 1] / max_value * 0.8 |
47 | | - else: |
48 | | - bottom_width = values[i] / max_value * 0.8 * 0.6 # Narrower bottom for last stage |
49 | | - |
50 | | - # Calculate y positions (top to bottom) |
51 | | - y_top = 1 - 0.1 - i * (stage_height + stage_gap) |
52 | | - y_bottom = y_top - stage_height |
53 | | - |
54 | | - # Create trapezoid vertices (clockwise from top-left) |
55 | | - vertices = [ |
56 | | - (center_x - top_width / 2, y_top), # Top-left |
57 | | - (center_x + top_width / 2, y_top), # Top-right |
58 | | - (center_x + bottom_width / 2, y_bottom), # Bottom-right |
59 | | - (center_x - bottom_width / 2, y_bottom), # Bottom-left |
60 | | - ] |
61 | | - |
62 | | - # Draw trapezoid using matplotlib Polygon |
63 | | - trapezoid = Polygon(vertices, facecolor=colors[i], edgecolor="white", linewidth=3, closed=True) |
64 | | - ax.add_patch(trapezoid) |
65 | | - |
66 | | - # Calculate center of trapezoid for label placement |
67 | | - center_y = (y_top + y_bottom) / 2 |
68 | | - |
69 | | - # Add stage name on the left |
| 129 | +# Conversion-rate annotations on the LEFT, with the largest drop-off |
| 130 | +# rendered bolder and in full-strength ink for visual emphasis. |
| 131 | +left_anchor = -max_value / 2 - max_value * 0.06 |
| 132 | +for i in range(len(conversions)): |
| 133 | + p_top, p_bot = bars[i], bars[i + 1] |
| 134 | + y_mid = (p_top.get_y() + p_top.get_height() + p_bot.get_y()) / 2 |
| 135 | + is_worst = i == worst_idx |
70 | 136 | ax.text( |
71 | | - center_x - top_width / 2 - 0.05, |
72 | | - center_y, |
73 | | - stages[i], |
| 137 | + left_anchor, |
| 138 | + y_mid, |
| 139 | + f"↓ {conversions[i]:.0f}%", |
74 | 140 | ha="right", |
75 | 141 | va="center", |
76 | | - fontsize=20, |
77 | | - fontweight="bold", |
78 | | - color="#333333", |
| 142 | + fontsize=16 if is_worst else 13, |
| 143 | + fontweight="bold" if is_worst else "normal", |
| 144 | + style="italic", |
| 145 | + color=INK if is_worst else INK_MUTED, |
79 | 146 | ) |
80 | 147 |
|
81 | | - # Add value and percentage label in center |
82 | | - label_text = f"{values[i]:,} ({percentages[i]:.0f}%)" |
83 | | - # Choose text color based on background brightness |
84 | | - text_color = "white" if i < 3 else "#333333" |
85 | | - ax.text(center_x, center_y, label_text, ha="center", va="center", fontsize=18, fontweight="bold", color=text_color) |
86 | | - |
87 | | - # Add conversion rate between stages |
88 | | - if i < n_stages - 1: |
89 | | - conversion_rate = values[i + 1] / values[i] * 100 |
90 | | - ax.text( |
91 | | - center_x + top_width / 2 + 0.05, |
92 | | - y_bottom, |
93 | | - f"↓ {conversion_rate:.0f}%", |
94 | | - ha="left", |
95 | | - va="center", |
96 | | - fontsize=14, |
97 | | - color="#666666", |
98 | | - style="italic", |
99 | | - ) |
| 148 | +# Awareness on top — matplotlib's default places the first category at the bottom |
| 149 | +ax.invert_yaxis() |
| 150 | +ax.set_ylim(len(stages) - 1 + tail_height + 0.25, -0.45) |
| 151 | + |
| 152 | +sns.despine(ax=ax, left=True, bottom=True) |
| 153 | +ax.set_xticks([]) |
| 154 | +ax.set_xlabel("") |
| 155 | +ax.set_ylabel("") |
| 156 | +ax.tick_params(axis="y", labelsize=20, length=0, pad=10) |
100 | 157 |
|
101 | | -# Set axis limits and remove decorations |
102 | | -ax.set_xlim(0, 1) |
103 | | -ax.set_ylim(0, 1) |
104 | | -ax.set_aspect("equal") |
105 | | -ax.axis("off") |
| 158 | +ax.set_xlim(-max_value * 0.95, max_value * 0.85) |
106 | 159 |
|
107 | | -# Title |
108 | | -ax.set_title("funnel-basic · seaborn · pyplots.ai", fontsize=24, fontweight="bold", pad=20) |
| 160 | +ax.set_title("funnel-basic · seaborn · anyplot.ai", fontsize=24, fontweight="medium", color=INK, pad=20) |
109 | 161 |
|
110 | 162 | plt.tight_layout() |
111 | | -plt.savefig("plot.png", dpi=300, bbox_inches="tight", facecolor="white") |
| 163 | +plt.savefig(f"plot-{THEME}.png", dpi=300, bbox_inches="tight", facecolor=PAGE_BG) |
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