Python, Pandas, Data Science, Climate Change, Matplotlib.
For the purpose of this analysis, we define winters as the months of December, January, and February, while summers encompass June, July, and August. By leveraging the power of pandas and the hierarchical dataframe, we can easily visualize the temperature changes during these seasons in Europe.