Python, Pandas, Data Science, Climate Change, Matplotlib.
more insight into the data: from __future__ import annotations import matplotlib.dates as mdates import matplotlib.pyplot as plt date_formatter = mdates.DateFormatter('%H:%M:%S') # Customize the date format as needed fig = plt.figure(figsize=(12, 6)) ax = fig.add_subplot(111)