我有带有回归线的regplot。当添加图例时,图例的标签是一个点。如何更改为点到线?
ax = sns.regplot(x='chronolgical age', y = i_feature,
data = plot_datai[plot_datai['Sex']==-1], fit_reg=True,
scatter_kws={'alpha':0.8, 's':2}, line_kws={'alpha':0.8, 'linewidth':2},
color = sex_color[0], label = 'Female',
x_jitter = .2, order = 2)
ax = sns.regplot(x='chronolgical age', y = i_feature,
data = plot_datai[plot_datai['Sex']==1], fit_reg=True,
scatter_kws={'alpha':0.8, 's':2}, line_kws={'alpha':0.8, 'linewidth':2},
color = sex_color[1], label = 'Male',
x_jitter = .2, order = 2)
ax.legend(loc = 'lower left', borderpad=.2)
可以将设置为折线图,而不是将其添加label
到regplot
(似乎以散点图为其主要成分),而label
可以将设置为折线图line_kws
。
这是一些使用“提示”数据集以及问题中使用的选项的示例代码:
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
ax = sns.regplot(x="total_bill", y="tip", data=tips[tips["sex"] == "Female"],
fit_reg=True,
scatter_kws={'alpha': 0.8, 's': 2},
line_kws={'alpha': 0.8, 'linewidth': 2, 'label': 'Female'},
color='crimson', # label='Female',
x_jitter=.2, order=2)
ax = sns.regplot(x="total_bill", y="tip", data=tips[tips["sex"] == "Male"],
fit_reg=True,
scatter_kws={'alpha': 0.8, 's': 2},
line_kws={'alpha': 0.8, 'linewidth': 2, 'label': 'Male'},
color='dodgerblue', # label='Male',
x_jitter=.2, order=2)
ax.legend(loc='upper left', borderpad=.2)
plt.show()