Today’s theme is Historical and I opted for a simple interpretation of showing the changing monthly temperature distribution over a year. Data is taken from a Python version going through what I consider the best time series textbook, Forecasting: Principles and Practise. Codeimport polars as plfrom lets_plot import*LetsPlot.setup_html()bikes = pl.read_csv('https://raw.githubusercontent.com/nshahpazov/fpp-in-python/master/data/bikes/day.csv')daily_temp = (bikes .filter(pl.col("yr") ==1) # 2...
