So in order to have the diameter be proportional to the quantitiy to show, it has to to be squared. Note that the size argument s denotes the area of the dots. Plt.legend(h, l, labelspacing=1.2, title="petal_width", borderpad=1,įrameon=True, framealpha=0.6, edgecolor="k", facecolor="w") Scatterplot Matrix seaborn components used: settheme (), loaddataset (), pairplot () import seaborn as sns sns.settheme(style'ticks') df sns.loaddataset('penguins') sns. It provides a high-level interface for drawing attractive and informative statistical graphics. H, l = plt.gca().get_legend_handles_labels() Seaborn is a Python data visualization library based on matplotlib. Getting Started With plt.scatter() Comparing plt.scatter() and plt.plot(). Plt.scatter(pal_width, pal_length,Ĭ = iris.petal_length, s=(iris.petal_width**2)*60, cmap="viridis") Optaining a legend is a bit cumbersome, because we have to manually define some proxy artists to put to the legend and remove the first automatic legend entry which is generated via the seaborn style. ![]() ![]() The following reproduces the code diagram from the question.
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