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| 1 | +""" pyplots.ai |
| 2 | +network-hierarchical: Hierarchical Network Graph with Tree Layout |
| 3 | +Library: plotnine 0.15.2 | Python 3.13.11 |
| 4 | +Quality: 91/100 | Created: 2026-01-08 |
| 5 | +""" |
| 6 | + |
| 7 | +import pandas as pd |
| 8 | +from plotnine import ( |
| 9 | + aes, |
| 10 | + element_blank, |
| 11 | + element_rect, |
| 12 | + element_text, |
| 13 | + geom_point, |
| 14 | + geom_segment, |
| 15 | + geom_text, |
| 16 | + ggplot, |
| 17 | + labs, |
| 18 | + scale_color_manual, |
| 19 | + scale_size_identity, |
| 20 | + theme, |
| 21 | + xlim, |
| 22 | + ylim, |
| 23 | +) |
| 24 | + |
| 25 | + |
| 26 | +# Data: Software company organizational hierarchy (22 employees, 4 levels) |
| 27 | +# Reduced from 30 to prevent label crowding at bottom level |
| 28 | +nodes = [ |
| 29 | + # Level 0 - CEO |
| 30 | + {"id": 0, "label": "CEO", "level": 0}, |
| 31 | + # Level 1 - VPs (3 people) |
| 32 | + {"id": 1, "label": "VP Engineering", "level": 1}, |
| 33 | + {"id": 2, "label": "VP Product", "level": 1}, |
| 34 | + {"id": 3, "label": "VP Operations", "level": 1}, |
| 35 | + # Level 2 - Directors/Managers (6 people) |
| 36 | + {"id": 4, "label": "Frontend Dir", "level": 2}, |
| 37 | + {"id": 5, "label": "Backend Dir", "level": 2}, |
| 38 | + {"id": 6, "label": "PM Lead", "level": 2}, |
| 39 | + {"id": 7, "label": "UX Lead", "level": 2}, |
| 40 | + {"id": 8, "label": "IT Manager", "level": 2}, |
| 41 | + {"id": 9, "label": "HR Manager", "level": 2}, |
| 42 | + # Level 3 - Team Members (12 people) |
| 43 | + {"id": 10, "label": "FE Dev 1", "level": 3}, |
| 44 | + {"id": 11, "label": "FE Dev 2", "level": 3}, |
| 45 | + {"id": 12, "label": "BE Dev 1", "level": 3}, |
| 46 | + {"id": 13, "label": "BE Dev 2", "level": 3}, |
| 47 | + {"id": 14, "label": "PM 1", "level": 3}, |
| 48 | + {"id": 15, "label": "Designer", "level": 3}, |
| 49 | + {"id": 16, "label": "UX Rsrch", "level": 3}, |
| 50 | + {"id": 17, "label": "SysAdmin", "level": 3}, |
| 51 | + {"id": 18, "label": "DevOps", "level": 3}, |
| 52 | + {"id": 19, "label": "Recruiter", "level": 3}, |
| 53 | + {"id": 20, "label": "Payroll", "level": 3}, |
| 54 | + {"id": 21, "label": "Benefits", "level": 3}, |
| 55 | +] |
| 56 | + |
| 57 | +edges = [ |
| 58 | + # CEO to VPs |
| 59 | + (0, 1), |
| 60 | + (0, 2), |
| 61 | + (0, 3), |
| 62 | + # VP Engineering to Directors |
| 63 | + (1, 4), |
| 64 | + (1, 5), |
| 65 | + # VP Product to Leads |
| 66 | + (2, 6), |
| 67 | + (2, 7), |
| 68 | + # VP Operations to Managers |
| 69 | + (3, 8), |
| 70 | + (3, 9), |
| 71 | + # Directors to Team Members |
| 72 | + (4, 10), |
| 73 | + (4, 11), |
| 74 | + (5, 12), |
| 75 | + (5, 13), |
| 76 | + (6, 14), |
| 77 | + (7, 15), |
| 78 | + (7, 16), |
| 79 | + (8, 17), |
| 80 | + (8, 18), |
| 81 | + (9, 19), |
| 82 | + (9, 20), |
| 83 | + (9, 21), |
| 84 | +] |
| 85 | + |
| 86 | +# Compute hierarchical layout positions |
| 87 | +# Group nodes by level |
| 88 | +levels = {} |
| 89 | +for node in nodes: |
| 90 | + lvl = node["level"] |
| 91 | + if lvl not in levels: |
| 92 | + levels[lvl] = [] |
| 93 | + levels[lvl].append(node) |
| 94 | + |
| 95 | +# Calculate positions: levels spread vertically, nodes at each level spread horizontally |
| 96 | +positions = {} |
| 97 | +y_spacing = 0.22 # Vertical spacing between levels |
| 98 | +for lvl in sorted(levels.keys()): |
| 99 | + nodes_at_level = levels[lvl] |
| 100 | + n = len(nodes_at_level) |
| 101 | + # Spread nodes horizontally with even distribution |
| 102 | + if n > 1: |
| 103 | + x_positions = [0.05 + i * (0.90 / (n - 1)) for i in range(n)] |
| 104 | + else: |
| 105 | + x_positions = [0.5] |
| 106 | + y_pos = 0.90 - lvl * y_spacing # Root at top |
| 107 | + for i, node in enumerate(nodes_at_level): |
| 108 | + positions[node["id"]] = (x_positions[i], y_pos) |
| 109 | + |
| 110 | +# Define colors by level - Python Blue for CEO, Yellow for VPs |
| 111 | +level_colors = { |
| 112 | + "Level 0: CEO": "#306998", |
| 113 | + "Level 1: VPs": "#FFD43B", |
| 114 | + "Level 2: Directors": "#4ECDC4", |
| 115 | + "Level 3: Team": "#FF6B6B", |
| 116 | +} |
| 117 | +level_names = {0: "Level 0: CEO", 1: "Level 1: VPs", 2: "Level 2: Directors", 3: "Level 3: Team"} |
| 118 | + |
| 119 | +# Node sizes by level (higher = larger) |
| 120 | +size_map = {0: 16, 1: 12, 2: 9, 3: 6} |
| 121 | + |
| 122 | +# Create node dataframe |
| 123 | +node_df = pd.DataFrame( |
| 124 | + { |
| 125 | + "x": [positions[node["id"]][0] for node in nodes], |
| 126 | + "y": [positions[node["id"]][1] for node in nodes], |
| 127 | + "label": [node["label"] for node in nodes], |
| 128 | + "level": [level_names[node["level"]] for node in nodes], |
| 129 | + "size": [size_map[node["level"]] for node in nodes], |
| 130 | + } |
| 131 | +) |
| 132 | + |
| 133 | +# Create edge dataframe |
| 134 | +edge_data = [] |
| 135 | +for parent, child in edges: |
| 136 | + edge_data.append( |
| 137 | + {"x": positions[parent][0], "y": positions[parent][1], "xend": positions[child][0], "yend": positions[child][1]} |
| 138 | + ) |
| 139 | +edge_df = pd.DataFrame(edge_data) |
| 140 | + |
| 141 | +# Create the plot |
| 142 | +plot = ( |
| 143 | + ggplot() |
| 144 | + # Draw edges first (underneath nodes) |
| 145 | + + geom_segment( |
| 146 | + data=edge_df, mapping=aes(x="x", y="y", xend="xend", yend="yend"), color="#555555", size=1.2, alpha=0.7 |
| 147 | + ) |
| 148 | + # Draw nodes colored by level |
| 149 | + + geom_point(data=node_df, mapping=aes(x="x", y="y", color="level", size="size"), alpha=0.95, stroke=0.5) |
| 150 | + # Add node labels with offset above nodes |
| 151 | + + geom_text( |
| 152 | + data=node_df, mapping=aes(x="x", y="y", label="label"), size=8, va="bottom", nudge_y=0.025, color="#222222" |
| 153 | + ) |
| 154 | + + scale_color_manual(values=level_colors) |
| 155 | + + scale_size_identity() |
| 156 | + + labs(title="network-hierarchical · plotnine · pyplots.ai", color="Hierarchy Level") |
| 157 | + + xlim(-0.02, 1.02) |
| 158 | + + ylim(0.18, 1.0) |
| 159 | + + theme( |
| 160 | + figure_size=(16, 9), |
| 161 | + plot_title=element_text(size=24, ha="center"), |
| 162 | + legend_title=element_text(size=18), |
| 163 | + legend_text=element_text(size=16), |
| 164 | + legend_position="bottom", |
| 165 | + legend_box_margin=10, |
| 166 | + legend_margin=5, |
| 167 | + legend_background=element_rect(fill="white", alpha=0.95), |
| 168 | + legend_key=element_rect(fill="white"), |
| 169 | + # Remove axis elements for network graph |
| 170 | + axis_title=element_blank(), |
| 171 | + axis_text=element_blank(), |
| 172 | + axis_ticks=element_blank(), |
| 173 | + panel_grid=element_blank(), |
| 174 | + panel_background=element_rect(fill="white"), |
| 175 | + plot_background=element_rect(fill="white"), |
| 176 | + ) |
| 177 | +) |
| 178 | + |
| 179 | +# Save the plot |
| 180 | +plot.save("plot.png", dpi=300) |
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