Time Series Analysis, Data Science, Python, Weather, Statistics.
function boxcox. df_d['t2m_box'], _ = stats.boxcox(df_d.t2m) fig, ax = plt.subplots(nrows=1, ncols=2, figsize=(15,7)) sns.histplot(df_d.t2m_box, kde=True, ax=ax[0]) sns.histplot(df_d.t2m, kde=True, ax=ax[1]) Image by author. The left part of the plot is our time series distribution after BoxCox