seaborn

• data visualization library based on matplotlib

install

• pdm add seaborn (or pip install seaborn)

Basic

• import import seaborn as sns

• set_theme()

  seaborn.set_theme(context='notebook', style='darkgrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True, rc=None)

• load dataset

  seaborn.load_dataset(name, cache=True, data_home=None, **kws)
  dataset name 목록: {https://github.com/mwaskom/seaborn-data}

  • tips = sns.load_dataset(“tips)

• create chart

  • chart 종류

    • Relational plots (relplot, scatterplot, lineplot)

    • Distribution plots (displot, histplot, kdeplot et)

    • Categorical plots (catplot, boxplot, violinplot etc)

    • Regression plots (lmplot, regplot etc)

    • Maxtrix plots (heatmap, clustermap)

    • Multi-plot grids (jointplot, FacetGrid etc)

  • relplot

    seaborn.relplot(data=None, *, x=None, y=None, hue=None, size=None, style=None, units=None, row=None, col=None, col_wrap=None, row_order=None, col_order=None, palette=None, hue_order=None, hue_norm=None, sizes=None, size_order=None, size_norm=None, markers=None, dashes=None, style_order=None, legend='auto', kind='scatter', height=5, aspect=1, facet_kws=None, **kwargs)

  • example

    sns.relplot(
    data=tips,
    x="total_bill", y="tip", col="time",
    hue="smoker", style="smoker", size="size",
    )
    

Advanced