Files
pyplot-health-analysis/0_basic_chart.ipynb
AlfandiMario 78a26bc2d0 init
2025-03-04 11:40:35 +07:00

102 lines
44 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x500 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"from matplotlib.patches import FancyBboxPatch\n",
"\n",
"# Data\n",
"categories = [\"Revenue\", \"Profit\", \"Customer Growth\"]\n",
"values = [75, 50, 90] # Actual values\n",
"targets = [90, 70, 85] # Target values\n",
"ranges = [(0, 30, 70, 100), (0, 40, 60, 100), (0, 50, 80, 100)] # Performance thresholds\n",
"\n",
"# Color scheme\n",
"green = '#8DC58D'\n",
"yellow = '#FBBC78'\n",
"red = '#F77F7F'\n",
"gray = '#DDDDDD'\n",
"light_blue = '#D9E8F5'\n",
"\n",
"# Colors for different ranges\n",
"colors = [green, yellow, red, gray, light_blue]\n",
"\n",
"# Create figure\n",
"fig, ax = plt.subplots(figsize=(8, 5))\n",
"\n",
"for i, (category, value, target, (low, mid, high, max_val)) in enumerate(zip(categories, values, targets, ranges)):\n",
" y = len(categories) - i # Reverse order for better alignment\n",
" \n",
" # Background performance ranges\n",
" ax.add_patch(FancyBboxPatch((low, y - 0.3), mid - low, 0.6, boxstyle=\"round,pad=0.1\", facecolor=colors[0])) # Low\n",
" ax.add_patch(FancyBboxPatch((mid, y - 0.3), high - mid, 0.6, boxstyle=\"round,pad=0.1\", facecolor=colors[1])) # Mid\n",
" ax.add_patch(FancyBboxPatch((high, y - 0.3), max_val - high, 0.6, boxstyle=\"round,pad=0.1\", facecolor=colors[2])) # High\n",
" \n",
" # Actual performance bar\n",
" ax.add_patch(FancyBboxPatch((low, y - 0.1), value - low, 0.2, boxstyle=\"round,pad=0.1\", facecolor=\"blue\"))\n",
" \n",
" # Target marker (a vertical line)\n",
" ax.plot([target, target], [y - 0.25, y + 0.25], color=\"red\", linewidth=3, linestyle=\"-\", label=\"Target\" if i == 0 else \"\")\n",
"\n",
" # Labels\n",
" ax.text(max_val + 5, y, f\"{value}%\", va=\"center\", fontsize=10, weight=\"bold\")\n",
"\n",
"# Format plot\n",
"ax.set_xlim(0, 110)\n",
"ax.set_yticks(range(1, len(categories) + 1))\n",
"ax.set_yticklabels(categories)\n",
"ax.set_xlabel(\"Performance (%)\")\n",
"ax.set_title(\"Bullet Chart Example\")\n",
"ax.legend()\n",
"\n",
"plt.grid(axis=\"x\", linestyle=\"--\", alpha=0.5)\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "ai-inacbg",
"language": "python",
"name": "ai-inacbg"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}