GraphData.py

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

csv_file = 'Data\data_log_20260311_174232.csv'
df = pd.read_csv(csv_file)

df['Timestamp'] = pd.to_datetime(df['Timestamp'])

fig, axs = plt.subplots(3, 1, figsize=(10, 12), sharex=True)

# Graph 1: Temperature
axs[0].plot(df['Timestamp'], df['Temperature1H'], label='Temp1H (±0.1)', linestyle='--')
axs[0].plot(df['Timestamp'], df['Temperature2B'], label='Temp2B (±1.5)', linestyle='--')
axs[0].plot(df['Timestamp'], df['Average'], label='Avg.', color='green')
axs[0].set_ylabel('Temperature (°C)')
axs[0].legend()
axs[0].grid(True)
axs[0].set_title('Temperature')

# Graph 2: Pressure
axs[1].plot(df['Timestamp'], df['Pressure'], color='red', label='Pressure')
axs[1].set_ylabel('Pressure (hPa)')
axs[1].legend()
axs[1].grid(True)
axs[1].set_title('Pressure')

# Graph 3: Humidity
axs[2].plot(df['Timestamp'], df['Humidity'], color='cyan', label='Humidity')
axs[2].set_ylabel('Humidity (%)')
axs[2].legend()
axs[2].grid(True)
axs[2].set_title('Humidity')

axs[2].xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
plt.xlabel('Time')
plt.tight_layout()

png_file = csv_file.replace(".csv", ".png")
plt.savefig(f"{png_file}")
print(f"Saved as: {png_file}")
plt.show()