Scatter plot with variable marker size (seaborn)

问题:

I am using a seaborn pairplot to plot a scatter plot of different dimensions of my datapoints. However, I want the markers of the datapoints to have a size that corresponds to one of the dimensions of the datapoints. I have the following code:

markersize = 1000* my_dataframe['dim_size'] / sum(my_dataframe['dim_size'])  sns.set_context("notebook", font_scale=1.5, rc={'figure.figsize': [11, 8]}) sns.set_style("darkgrid", {"axes.facecolor": ".9"})  kws = dict(s=markersize, linewidth=.5, edgecolor="w")  sbax = sns.pairplot(my_dataframe, hue='dim_hue' x_vars=['dim_1', 'dim_2'], y_vars=['dim_3', 'dim_4'], size=5, plot_kws=kws)  axes = sbax.axes for a in axes.flatten():     a.set_ylim([0,1])     a.set_xlim([0,1]) 

If I do print(kws), I see in the dictionary that the sizes are all different and vary from 40 to 2000. However, the markers on the plot are all the same. Is there any way to achieve what I want?

Btw, this works very well with lmplot if I set the parameter scatter_kws={"s": markersize}.

Thanks!

回答1:

import seaborn as sns import matplotlib.pyplot as plt iris = sns.load_dataset("iris")  size = 100 * (iris.petal_length / iris.petal_length.max()) g = sns.PairGrid(iris, vars=["sepal_length", "sepal_width"], size=5) g.map(plt.scatter, s=size) 

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