4.

GamerBhai02

Jan 14th, 2025

Never

Add comment

Not a member of Pastebin yet? Sign Up, it unlocks many cool features!

Python 0.92 KB | Source Code | 0 0

raw download clone embed print report

import pandas as pd
import matplotlib.pyplot as plt
data = {
'Day': ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],
'City1': [30, 32, 33, 31, 29, 28, 30],
'City2': [25, 26, 27, 26, 25, 24, 26],
'City3': [35, 34, 33, 36, 35, 34, 36]
}
df = pd.DataFrame(data)
print("Temperature DataFrame:")
print(df)
average_temperatures = df[['City1', 'City2', 'City3']].mean()
highest_avg_temp_city = average_temperatures.idxmax()
print("\nAverage Temperatures:")
print(average_temperatures)
print(f"City with the highest average temperature: {highest_avg_temp_city}")
plt.figure(figsize=(10, 7))
plt.plot(df['Day'], df['City1'], label='City1')
plt.plot(df['Day'], df['City2'], label='City2')
plt.plot(df['Day'], df['City3'], label='City3')
plt.title(f"Daily Temperatures for a Week\n(Highest Average: {highest_avg_temp_city})")
plt.xlabel('Day')
plt.ylabel('Temperature (°C)')
plt.legend()
plt.grid(True)
plt.show()

Add Comment

Please, Sign In to add comment