Pandas, Data Science, Python, Data Analysis, Programming.
We’ll estimate the average of sales in 10,000 samples, each comprising 1,000 data points. # Pandas bootstrap simu_weights = [] for i in range(10000): bootstrap_sample = random.choices(df_pd['sales'], k=1000) simu_weights.append(np.nanmean(bootstrap_sample)) # Polars bootstrap simu_weights = [] for