use matplotlib legend with lmplot

Question

g = sns.lmplot(x='x', y='y', df, fit_reg=False, hue='z', lowess=True, scatter_kws={'alpha': 0.5}, legend=True)
plt.legend(bbox_to_anchor=(1.01, 0.5), ncol=2)

In the code above, if I set legend=True, I get both the default single column seaborn legend and the matplotlib legend. If I set `legend=False', then I get neither. How do I draw only the matplotlib 2 column legend?

andrew_reece · Accepted Answer · 2017-11-01 03:18:03Z

3

Access the legend property via g.ax:

# example data
N = 100
data = {"x":np.random.random(N),
        "y":np.random.random(N),
        "z":np.random.choice([0,1], size=N)}
df = pd.DataFrame(data)

g = sns.lmplot(x='x', y='y', data=df, fit_reg=False, hue='z', 
               lowess=True, scatter_kws={'alpha': 0.5}, legend=False)
g.ax.legend(bbox_to_anchor=(1.01, 0.5), ncol=2)

answered Nov 1, 2017 at 3:18

andrew_reece

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