Remove one out of two legends from Seaborn Scatterplot

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Using the 'tips' dataset as a toy model, I generate the following plot: 

import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")

cmap = sns.cubehelix_palette(dark=.3, light=.8, as_cmap=True)
g = sns.scatterplot(x="total_bill", y="sex", hue="smoker", size = 'tip',sizes=(320, 600), data=tips)
plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., fontsize=13)
plt.show(g)

This image is exactly what I need. However, I want to remove the size = 'tip' from the legend and only keep the smoker. Essentially, remove those black circles labeled 0.0 to 12.0. How do I ensure my legend has only one variable of my choosing?

enter image description here

pandas seaborn matplotlib python
1 Answers

I was able to find a fix by indexing the labels in the legend.

import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")

cmap = sns.cubehelix_palette(dark=.3, light=.8, as_cmap=True)
g = sns.scatterplot(x="total_bill", y="sex", hue="smoker", size = 'tip',sizes=(320, 600), data=tips)
h,l = g.get_legend_handles_labels()
plt.legend(h[0:3],l[0:3],bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0., fontsize=13)
plt.show(g)

enter image description here

user_104749980
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