04_perfplot_1.py

import perfplot

plt.figure(figsize=(10, 10))
plt.title('Quantitative Comparison of Filtering Speeds')
perfplot.show(
    setup=random_array,
    kernels=[loop, boolean_index, loop_numba, boolean_index_numba],
    n_range=[2**k for k in range(2, 22)],
    logx=True,
    logy=True,
    equality_check=False,
    xlabel='len(df)')