Untitled

# Name: Gary Griffith
# Date: 10/16/2024
# Purpose: Gather weather data and create a plot

from noaa_sdk import noaa 
import matplotlib.pyplot as plt 

name = "Gary Griffith"
print(name)

# Define updated date range
startDate = '2024-10-09'
endDate = '2024-10-16'
print(f"Start Date: {startDate}, End Date: {endDate}")

# Initialize NOAA API
n = noaa.NOAA()

# Latitude and Longitude for Atlanta, GA
latitude = 33.7490
longitude = -84.3880

# Create two lists to store temperature and humidity
temp = []
humidity = []
cloudy_days_count = 0

# Define box_data at the module level
box_data = []

try:
    print("Fetching current observations...")
    observations = list(n.get_observations_by_lat_lon(latitude, longitude))

    print(f"Number of observations retrieved: {len(observations)}")

    # Check if observations were returned
    if not observations:
        print("No observations found.")
    else:
        for obs in observations:
            # Populate temperature and humidity
            temp.append(obs['temperature']['value'])
            humidity.append(obs['relativeHumidity']['value'])
            print(obs['timestamp'], "\t",
                  obs['temperature']['value'], "\t",
                  obs['relativeHumidity']['value'], "\t",
                  obs['textDescription'])

            # Count Cloudy days
            if 'Cloudy' in obs['textDescription']:
                cloudy_days_count += 1

        # Calculate statistics for temperature
        avg_temp = sum(temp) / len(temp) if temp else 0  # Average temperature
        low_temp = min(temp) if temp else None  # Lowest temperature
        high_temp = max(temp) if temp else None  # Highest temperature

        # Print statistics
        print("Weather Statistics")
        print("The average temperature was: ", avg_temp)
        print("The lowest temperature was: ", low_temp)
        print("The highest temperature was: ", high_temp)
        print(f"Number of Cloudy Days: {cloudy_days_count}")

        # Prepare box_data for plotting
        box_data = [temp, humidity]

        # Create a box plot for temperature and humidity
        plt.figure()
        plt.boxplot(box_data, labels=['Temperature (°C)', 'Humidity (%)'])
        plt.title('Box Plot of Temperature and Humidity for Gary Griffith')
        plt.savefig('boxplot.png')

        # Additional line plot with different colors
        plt.figure()
        plt.plot(temp, color='blue', label='Temperature (°C)')
        plt.plot(humidity, color='green', label='Humidity (%)')
        plt.legend()
        plt.title('Temperature vs Humidity for Gary Griffith')
        plt.savefig('weather.png')

except Exception as e:
    print(f"Error: {e}")