Python 如何在seaborn pairplot中调整透明度（alpha）？
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How to adjust transparency (alpha) in seaborn pairplot?
提问by famargar
I can create beatiful scatter plot with seaborns regplot, obtain the right level of transparency through the scatter_kwsas in
我可以创建seaborns beatiful散点图regplot，通过获得的透明度权水平scatter_kws为
sns.regplot(x='logAssets', y='logLTIFR', lowess=True, data=df, scatter_kws={'alpha':0.15}, line_kws={'color': 'red'})
and obtain this:
并获得这个：
Is there an option in a seaborn pairplotto tweak transparency?
seaborn 中是否有pairplot调整透明度的选项？
回答by famargar
Ok I was very close to the solution. Seaborn pairplotshave plot_kwsthat takes as arguments a dictionary of the kind of modifications you would do in a regplot. The following line is exactly what I needed:
好的，我非常接近解决方案。Seabornpairplots有plot_kws作为的名字需要类型的修改，你会在做一本字典regplot。以下行正是我所需要的：
g = sns.pairplot(df, kind='reg', plot_kws={'line_kws':{'color':'red'}, 'scatter_kws': {'alpha': 0.1}})
And this is the outcome:
这是结果：
If you don't do the regression but just the scatter plot (kind='scatter'), within plot keywords you don't have to do the division between line and scatter keywords:
如果您不做回归而只做散点图 (kind='scatter')，则在 plot 关键字中，您不必在 line 和 scatter 关键字之间进行划分：
g = sns.pairplot(df, kind='scatter', plot_kws={'alpha':0.1})
回答by famargar
Alpha can be set as a keyword argument as so:
Alpha 可以设置为关键字参数，如下所示：
g = sns.pairplot(df, kind='scatter', alpha=0.1})
