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aditiplot

Applies an Aditi filter to your plots for an improved clarity in your incredibly confusing multidimensional datasets.

Example gallery

A) Penguins dataset

penguins = sns.load_dataset('penguins')

An inferior seaborn visualization

g = sns.relplot(x='bill_length_mm',
                y='bill_depth_mm',
                hue='species',
                col='sex',
                data=penguins)

png

The superior aditiplot

aditi.plot(penguins)

png

B) Tips dataset

tips = sns.load_dataset('tips')

An inferior seaborn visualization

sns.relplot(
    data=tips, x="total_bill", y="tip", col="time",
    hue="time", size="size", style="sex",
    palette=["b", "r"], sizes=(10, 100)
);

png

The superior aditiplot

aditi.plot(tips, hue='size');

png

C) FMRI dataset

fmri = sns.load_dataset('fmri')

An inferior seaborn visualization

sns.relplot(
    data=fmri, x="timepoint", y="signal", col="region",
    hue="event", style="event", kind="line",
);

png

The superior aditiplot

aditi.plot(fmri, kind='line');

png