init

3_pie_suggested_lifestyle.py

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+import matplotlib.pyplot as plt
+import pandas as pd
+import numpy as np
+from matplotlib.patches import Rectangle
+
+# Data for the pie chart
+labels = ['Tekanan Darah Sistolik', 'Berat Badan', 'Tekanan Darah Diastolik']
+en_labels = ['Systolic Blood Pressure', 'Weight', 'Diastolic Blood Pressure']
+values = [66.8, 18.9, 14.2]
+colors = ['#F77F7F', '#FFB84C', '#5ECCC4']  # Red, Orange, Teal
+
+# Data for the table
+current_readings = [132, 70, 88]
+target_values = ['< 130', '41,6-51,5', '< 85']
+units = ['mmHg', 'kg', 'mmHg']
+
+# Create figure with subplots
+fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(10, 10), 
+                               gridspec_kw={'height_ratios': [1, 0.8]})
+plt.subplots_adjust(hspace=0.3)
+
+# Pie Chart
+wedges, texts, autotexts = ax1.pie(values, colors=colors, autopct='', 
+                                  startangle=90, wedgeprops={'edgecolor': 'white', 'linewidth': 1})
+
+# Title
+ax1.set_title('Kontributor Risiko Relatif\nRelative Risk Contributors', fontsize=16, fontweight='bold', pad=20)
+
+# Add custom labels outside the pie
+for i, p in enumerate(wedges):
+    ang = (p.theta2 - p.theta1)/2. + p.theta1
+    ang_rad = ang * np.pi / 180
+    x = 1.05 * np.cos(ang_rad)
+    y = 1.05 * np.sin(ang_rad)
+    
+    # Alignment based on angle
+    horizontalalignment = 'left' if x > 0 else 'right'
+    
+    # Create the label text with percentage and name
+    label = f"{values[i]}% {labels[i]}"
+    
+    # Add the label
+    ax1.annotate(label, xy=(x, y), xytext=(1*x, 1*y),
+                horizontalalignment=horizontalalignment, fontsize=12)
+
+# Equal aspect ratio ensures the pie chart is circular
+ax1.set_aspect('equal')
+ax1.axis('off')
+
+# Table
+# Hide axes for the table subplot
+ax2.axis('off')
+
+# Create table headers
+col_labels = ['Kontributor Risiko\nRisk Contributor', 'Bacaan saat ini\nCurrent reading', 
+              'Nilai Target\nTarget value', 'Satuan\nUnits']
+table_data = []
+
+# Prepare colored boxes for the legend
+for i, (label, en_label, value, target, unit) in enumerate(zip(labels, en_labels, current_readings, target_values, units)):
+    color_box = f'\n{label}\n{en_label}'
+    table_data.append([color_box, value, target, unit])
+
+# Create table
+table = ax2.table(cellText=table_data, colLabels=col_labels, loc='center',
+                 cellLoc='center', colWidths=[0.4, 0.2, 0.2, 0.2])
+
+# Format table
+table.auto_set_font_size(False)
+table.set_fontsize(10)
+table.scale(1, 2.15)
+
+# Add color boxes to the first column of each data row
+for i in range(len(table_data)):
+    cell = table[i+1, 0]  # +1 because header is row 0
+    cell.get_text().set_color('black')
+    cell.set_facecolor(colors[i])
+    cell.set_text_props(weight='bold')
+
+# Add horizontal lines
+for i in range(len(table_data)+1):
+    for j in range(len(col_labels)):
+        table[i, j].set_edgecolor('black')
+
+# Add risk information at the bottom
+risk_text = 'Risiko Hipertensi dalam 4 Tahun\nHypertension Risk in 4 Years'
+current_risk = '51,2 %'
+target_risk = '8,3 %'
+
+ax2.text(0.00, 0.1, risk_text, transform=ax2.transAxes, 
+         color='red', fontsize=12, fontweight='bold')
+ax2.text(0.45, 0.15, current_risk, transform=ax2.transAxes, 
+         color='red', fontsize=12, fontweight='bold')
+ax2.text(0.68, 0.15, target_risk, transform=ax2.transAxes, 
+         color='black', fontsize=12)
+
+filename = '3_pie_suggested_lifestyle.png'
+plt.tight_layout()
+plt.savefig(filename, dpi=300, bbox_inches='tight')
+print(f"Image saved as {filename}")