4. Simplifying Visualizations Using Seaborn

Activity 4.01: Using Heatmaps to Find Patterns in Flight Passengers' Data

Solution:

Find the patterns in the flight passengers' data with the help of a heatmap:

1. Create an Activity4.01.ipynb Jupyter notebook in the Chapter04/Activity4.01 folder to implement this activity.
2. Import the necessary modules and enable plotting within a Jupyter notebook:

   %matplotlib inline
   import numpy as np
   import pandas as pd
   import matplotlib.pyplot as plt
   import seaborn as sns
   sns.set()

3. Use pandas to read the flight_details.csv dataset located in the Datasets folder. The given dataset contains the monthly figures for flight passengers for the years 1949 to 1960:

   data = pd.read_csv("../../Datasets/flight_details.csv")

4. Now, we can use the pivot() function to transform the data into a format that is suitable for heatmaps:

   data = data.pivot("Months", "Years", "Passengers")
   data = data.reindex...