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import hvplot | |
import polars as pl | |
def plot_combined_csv( | |
filter_dataset_file: str, dataset_size: str, title: str, normalized: bool = False | |
): | |
df = pl.read_csv(f"output/filter/filter_{dataset_size}_*.csv").with_columns( | |
(pl.col("Mask") * 100).cast(int) | |
) | |
plot = df.plot.bar( | |
x="Mask", | |
y="Time", | |
by=["Polars_Version"], | |
color=["#73bfb8", "#0075FF"], | |
xlabel="Selectivity [%]", | |
ylabel="Time [s]", | |
title=f"{title} by Polars version", | |
) | |
plot = plot.redim.values(Polars_Version=["0.20.6", "0.20.5"]) | |
hvplot.save(plot, filename=f"{filter_dataset_file}.html") | |
plot_combined_csv( | |
"filter_small16", "small16", "Filter on 16x1M rows with <= 12 byte strings" | |
) | |
plot_combined_csv( | |
"filter_medium16", "medium16", "Filter on 16x1M rows between 1 and 200 byte strings" | |
) | |
plot_combined_csv( | |
"filter_large16", "large16", "Filter on 16x1M rows with 500 byte strings" | |
) |
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