Load the ‘flights’ dataset and pivot it to get the monthly number of passengers for each year. Create a heatmap to visualize this data.
Example Output:
You can use the sns.heatmap function, and the flights dataset can be loaded and pivoted using flights_data.pivot("month", "year", "passengers").
import seaborn as sns
import matplotlib.pyplot as plt
def plot_flights_heatmap():
flights_data = sns.load_dataset('flights')
flights_pivot = flights_data.pivot("month", "year", "passengers")
sns.heatmap(flights_pivot, annot=True, fmt="d")
plt.title('Monthly Passengers over Years')
plt.show()
plot_flights_heatmap()
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