init

2_urinalis.py

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+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'
+
+SEGMENT_HEIGHT = 0.1
+Y_MARKER = 0.6 * SEGMENT_HEIGHT
+Y_LABEL = 0.2 * SEGMENT_HEIGHT
+
+# Data
+categories = ["pH", 
+              "Berat Jenis Urin (Urine Specific Gravity)"]
+values = [8.0, 1.010]
+ranges = [(0, 14, [4.8, 7.4]), (1.005, 1.030, [1.015, 1.025])]
+colors = [[yellow, green, red],  # pH
+          [yellow, green, red]]  # Urin]
+
+fig, axes = plt.subplots(len(categories), 1, figsize=(12, 2.6))
+
+for i, ax in enumerate(axes):
+    min_val, max_val, thresholds = ranges[i]
+    value = values[i]
+    
+    # Create segments
+    # y_gap = 0.01  # {{ Removed y_gap definition }}
+    ax.set_ylim(0, 0.1)  # {{ Updated y-axis limits to remove y_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]
+        segment_width = end - start
+
+        rect = Rectangle((start, 0), segment_width, SEGMENT_HEIGHT,  # {{ Updated y-coordinate and height to remove y_gap }}
+                        facecolor=colors[i][j % len(colors[i])], linewidth=0)
+        ax.add_patch(rect)
+    
+    # Plot value marker
+    ax.scatter([value], [Y_MARKER], color="white", marker="o", s=100, zorder=3, edgecolor='gray')
+    ax.text(value, Y_LABEL, 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="bold", fontfamily='monospace')
+    ax.spines['top'].set_visible(False)
+    ax.spines['right'].set_visible(False)
+    ax.spines['left'].set_visible(False)
+
+filename = '2_urinalis.png' 
+
+plt.tight_layout()
+plt.savefig(filename, dpi=300, bbox_inches='tight')
+print(f"Image saved as {filename}")