input: Write a python function to read a CSV file containing airport data and return the top N airports by total arrivals.
  assert get_top_airports('/path/to/airports/csv/file.csv', 2).equals(pd.DataFrame({'Airport': ['LAX', 'JFK'], 'Total_Arrivals': [1000, 800]}))
  assert get_top_airports('/path/to/airports/csv/file.csv', 1).equals(pd.DataFrame({'Airport': ['LAX'], 'Total_Arrivals': [1000]}))
  assert get_top_airports('/path/to/airports/csv/file.csv', 3).equals(pd.DataFrame({'Airport': ['LAX', 'JFK', 'ORD'], 'Total_Arrivals': [1000, 800, 600]}))
output: import pandas as pd
  
  def get_top_airports(file_path, N):
      df = pd.read_csv(file_path)
      top_airports = df.groupby('Airport')['Total_Arrivals'].sum().reset_index()
      top_airports = top_airports.sort_values(by='Total_Arrivals', ascending=False).head(N)
      return top_airports