init

2025-03-04 11:40:35 +07:00
parent f0a6d8ad8a
commit 78a26bc2d0
12 changed files with 735 additions and 0 deletions
--- a/1_bp_biometrik.py
+++ b/1_bp_biometrik.py
@@ -0,0 +1,85 @@
+import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib.patches import FancyBboxPatch, Rectangle
+from matplotlib.colors import LinearSegmentedColormap
+
+# Color scheme
+green = '#8DC58D'
+yellow = '#FBBC78'
+red = '#F77F7F'
+gray = '#DDDDDD'
+light_blue = '#D9E8F5'
+light_gray = '#F5F5F5'
+
+# Data
+categories = ["Resiko Hipertensi dalam 4 tahun (Hypertension Risk in 4 years)", 
+              "Lingkar Pinggang (Waist Circumference)", "Tekanan Darah Sistolik (Systolic BP)", 
+              "Tekanan Darah Diastolik (Diastolic BP)", "Indeks Massa Tubuh (BMI)"]
+values = [51.17, 93.0, 132.0, 88.0, 31.11]
+ranges = [(0, 100, [5, 10]), (60, 120, [80]), (70, 180, [90, 130, 140]), (50, 120, [60, 85, 90]), (15, 40, [18.5, 23, 25, 30])]
+colors = [[green, yellow, red],  # Hypertension
+          [green, red],          # Waist
+          [yellow, green, yellow, red],   # Systolic BP
+          [yellow, green, yellow, red],   # Diastolic BP
+          [yellow, green, yellow, red, red]]   # BMI
+
+fig, axes = plt.subplots(len(categories), 1, figsize=(12, 7))
+
+for i, ax in enumerate(axes):
+    min_val, max_val, thresholds = ranges[i]
+    value = values[i]
+    
+    # First create a background bar (gray) with rounded corners
+    bg_rect = FancyBboxPatch((min_val, 0), max_val - min_val, 0.1,
+                          boxstyle="round,pad=0.01", 
+                          facecolor=gray, alpha=0.3, linewidth=0)
+    ax.add_patch(bg_rect)
+    
+    # Create segments
+    y_gap = 0.01  # Define the gap between segments on the y-axis
+    ax.set_ylim(-y_gap, 0.1 + y_gap)  # Adjust the y-axis limits to include the gap
+    all_points = [min_val] + thresholds + [max_val]
+    for j in range(len(all_points)-1):
+        start = all_points[j]
+        end = all_points[j+1]
+
+        if i == 0:  # Apply gradient only for the first chart's first segment
+            # Define the gradient colormap
+            gradient_cmap = LinearSegmentedColormap.from_list("gradient", [gray, colors[i][j]], N=256)
+            
+            # Create a gradient rectangle usingimshow
+            gradient_width = value - start
+            if gradient_width > 0:
+                gradient_rect = plt.Rectangle((start, y_gap), gradient_width, 0.1 - 2*y_gap, facecolor=gradient_cmap(0.9), linewidth=0)
+                ax.add_patch(gradient_rect)
+            
+            # Fill the remaining part with gray
+            remaining_width = end - max(value, start)
+            if remaining_width > 0:
+                remaining_rect = plt.Rectangle((max(value, start), y_gap), remaining_width, 0.1 - 2*y_gap, facecolor=gray, linewidth=0)
+                ax.add_patch(remaining_rect)
+        else:
+            segment_width = end - start
+            rect = Rectangle((start, y_gap), segment_width, 0.1 - 2*y_gap,
+                            facecolor=colors[i][j % len(colors[i])], linewidth=0)
+            ax.add_patch(rect)
+    
+    # Plot value marker
+    ax.scatter([value], [0.06], color="white", marker="o", s=100, zorder=3, edgecolor='gray')
+    ax.text(value, 0.02, f"{value:.1f}", ha="center", fontsize=10, color="black", weight="bold", 
+            fontfamily='monospace')
+    
+    # Axis formatting - properly align ticks with segment boundaries
+    ax.set_xlim(min_val, max_val)
+    ax.set_yticks([])
+    ax.set_xticks(all_points)  # Set ticks at exact boundary points
+    ax.set_title(categories[i], fontsize=12, weight="normal", fontfamily='sans-serif')
+    ax.spines['top'].set_visible(False)
+    ax.spines['right'].set_visible(False)
+    ax.spines['left'].set_visible(False)
+
+filename = '1_bp_biometrik.png'
+
+plt.tight_layout()
+plt.savefig(filename, dpi=300, bbox_inches='tight')
+print(f"Image saved as {filename}")