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Signed-off-by: enderice2 <enderice2@no-reply@enderice2.com>

graph.py

@@ -0,0 +1,39 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import numpy as np
+
+data = pd.read_csv("sensors_log.csv")
+
+data['timestamp'] = pd.to_datetime(data['timestamp'])
+
+data.set_index('timestamp', inplace=True)
+
+plt.style.use('dark_background')
+
+columns_to_plot = {
+    'CPU (°C)': 1,
+    'Vcore (V)': 0.01,
+    'VSOC (V)': 0.01,
+    'VDDP (mV)': 5,
+    'DRAM (V)': 0.01,
+}
+
+for column, threshold in columns_to_plot.items():
+    plt.figure(figsize=(12, 6))
+    plt.plot(data.index, data[column], label=column, color='cyan', linewidth=2)
+
+    last_labeled_value = None
+    for x, y in zip(data.index, data[column]):
+        if last_labeled_value is None or abs(y - last_labeled_value) > threshold:
+            plt.text(x, y, f"{y:.2f}", fontsize=9, ha='center', va='bottom', color='white')
+            last_labeled_value = y
+
+    plt.xlabel("Timestamp", fontsize=12, color='white')
+    plt.ylabel("Value", fontsize=12, color='white')
+    plt.title(f"{column} Over Time", fontsize=14, color='white')
+    plt.legend(loc='upper left')
+    plt.grid(visible=True, color='gray', linestyle='--', alpha=0.7)
+    plt.tight_layout()
+
+    plt.savefig(f"{column}_graph_no_points_dark.png", dpi=300)
+    plt.show()