example: add support plot

Signed-off-by: YoungSoo Shin <shinys000114@gmail.com>

example/logger/README.md

@@ -15,7 +15,7 @@ source venv/bin/activate
 ### Install require package
 
 ```shell
-pip install grpcio-tools requests websockets protobuf
+pip install grpcio-tools requests websockets protobuf pandas matplotlib
 ```
 
 ### Build `status_pb2.py`
@@ -26,7 +26,16 @@ python -m grpc_tools.protoc -I ../../proto --python_out=. status.proto
 
 ### Execute script
 
+#### Power consumption collection
 ```shell
-# python3 logger.py -u <username> -p <password> <address>
-python3 logger.py -u admin -p password 192.168.30.5
-```
+# python3 logger.py -u <username> -o <name.csv> -p <password> <address>
+python3 logger.py -u admin -p password -o test.csv 192.168.30.5 
+```
+
+#### Plot data
+
+```shell
+python3 csv_2_plot.py test.csv plot.png
+```
+
+![plot.png](plot.png)

example/logger/csv_2_plot.py

@@ -0,0 +1,95 @@
+import argparse
+import matplotlib.dates as mdates
+import matplotlib.pyplot as plt
+import os
+import pandas as pd
+
+
+def plot_power_data(csv_path, output_path):
+    """
+    Reads power data from a CSV file and generates a plot image.
+
+    Args:
+        csv_path (str): The path to the input CSV file.
+        output_path (str): The path to save the output plot image.
+    """
+    try:
+        # Read the CSV file into a pandas DataFrame
+        # The 'timestamp' column is parsed as dates
+        df = pd.read_csv(csv_path, parse_dates=['timestamp'])
+        print(f"Successfully loaded {len(df)} records from '{csv_path}'")
+    except FileNotFoundError:
+        print(f"Error: The file '{csv_path}' was not found.")
+        return
+    except Exception as e:
+        print(f"An error occurred while reading the CSV file: {e}")
+        return
+
+    # Create a figure and a set of subplots (3 rows, 1 column)
+    # sharex=True makes all subplots share the same x-axis (time)
+    fig, axes = plt.subplots(3, 1, figsize=(15, 18), sharex=True)
+
+    # --- Plot 1: Power (W) ---
+    ax1 = axes[0]
+    ax1.plot(df['timestamp'], df['vin_power'], label='VIN', color='red')
+    ax1.plot(df['timestamp'], df['main_power'], label='MAIN', color='green')
+    ax1.plot(df['timestamp'], df['usb_power'], label='USB', color='blue')
+    ax1.set_title('Power Consumption')
+    ax1.set_ylabel('Power (W)')
+    ax1.legend()
+    ax1.grid(True, which='both', linestyle='--', linewidth=0.5)
+
+    # --- Plot 2: Voltage (V) ---
+    ax2 = axes[1]
+    ax2.plot(df['timestamp'], df['vin_voltage'], label='VIN', color='red')
+    ax2.plot(df['timestamp'], df['main_voltage'], label='MAIN', color='green')
+    ax2.plot(df['timestamp'], df['usb_voltage'], label='USB', color='blue')
+    ax2.set_title('Voltage')
+    ax2.set_ylabel('Voltage (V)')
+    ax2.legend()
+    ax2.grid(True, which='both', linestyle='--', linewidth=0.5)
+
+    # --- Plot 3: Current (A) ---
+    ax3 = axes[2]
+    ax3.plot(df['timestamp'], df['vin_current'], label='VIN', color='red')
+    ax3.plot(df['timestamp'], df['main_current'], label='MAIN', color='green')
+    ax3.plot(df['timestamp'], df['usb_current'], label='USB', color='blue')
+    ax3.set_title('Current')
+    ax3.set_ylabel('Current (A)')
+    ax3.legend()
+    ax3.grid(True, which='both', linestyle='--', linewidth=0.5)
+
+    # --- Formatting the x-axis (Time) ---
+    # Improve date formatting on the x-axis
+    ax3.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S'))
+    ax3.xaxis.set_major_locator(plt.MaxNLocator(15))  # Limit the number of ticks
+    plt.xlabel('Time')
+    plt.xticks(rotation=45)
+
+    # Add a main title to the figure
+    start_time = df['timestamp'].iloc[0].strftime('%Y-%m-%d %H:%M:%S')
+    end_time = df['timestamp'].iloc[-1].strftime('%H:%M:%S')
+    fig.suptitle(f'ODROID Power Log ({start_time} to {end_time})', fontsize=16, y=0.95)
+
+    # Adjust layout to prevent titles/labels from overlapping
+    plt.tight_layout(rect=[0, 0, 1, 0.94])
+
+    # --- Save the plot to a file ---
+    try:
+        plt.savefig(output_path, dpi=150)
+        print(f"Plot successfully saved to '{output_path}'")
+    except Exception as e:
+        print(f"An error occurred while saving the plot: {e}")
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Generate a plot from an Odroid PowerMate CSV log file.")
+    parser.add_argument("input_csv", help="Path to the input CSV log file.")
+    parser.add_argument("output_image", help="Path to save the output plot image (e.g., plot.png).")
+    args = parser.parse_args()
+
+    plot_power_data(args.input_csv, args.output_image)
+
+
+if __name__ == "__main__":
+    main()