有什么办法可以改变seaborn中的传说吗?
Is there any way to change the legends in seaborn?
我想更改图例框中pIC50 的格式。我希望它是“根据没有填充颜色的大小画圈”。欢迎提出任何建议!
plt.figure(figsize=(7, 7))
sns.scatterplot(x='MW', y='LogP', data=df_2class, hue='class', size='pIC50', edgecolor='black', alpha=0.2)
sns.set_style("whitegrid", {"ytick.major.size": 100,"xtick.major.size": 2, 'grid.linestyle': 'solid'})
plt.xlabel('MW', fontsize=14, fontweight='bold')
plt.ylabel('LogP', fontsize=14, fontweight='bold')
plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0)
在这种情况下,您可以遍历最后一个图例句柄并更改圆点的颜色。下面是一个使用鸢尾花数据集的例子:
import matplotlib.pyplot as plt
import seaborn as sns
iris = sns.load_dataset('iris')
ax = sns.scatterplot(data=iris, x='sepal_length', y='petal_length', hue='species', size='sepal_width')
handles, labels = ax.get_legend_handles_labels()
for h in handles[-5:]: # changes the 5 last handles, this number might be different in your case
h.set_facecolor('none')
ax.legend(handles=handles, labels=labels, bbox_to_anchor=[1.02, 1.02], loc='upper left')
plt.tight_layout()
plt.show()
我想更改图例框中pIC50 的格式。我希望它是“根据没有填充颜色的大小画圈”。欢迎提出任何建议!
plt.figure(figsize=(7, 7))
sns.scatterplot(x='MW', y='LogP', data=df_2class, hue='class', size='pIC50', edgecolor='black', alpha=0.2)
sns.set_style("whitegrid", {"ytick.major.size": 100,"xtick.major.size": 2, 'grid.linestyle': 'solid'})
plt.xlabel('MW', fontsize=14, fontweight='bold')
plt.ylabel('LogP', fontsize=14, fontweight='bold')
plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0)
在这种情况下,您可以遍历最后一个图例句柄并更改圆点的颜色。下面是一个使用鸢尾花数据集的例子:
import matplotlib.pyplot as plt
import seaborn as sns
iris = sns.load_dataset('iris')
ax = sns.scatterplot(data=iris, x='sepal_length', y='petal_length', hue='species', size='sepal_width')
handles, labels = ax.get_legend_handles_labels()
for h in handles[-5:]: # changes the 5 last handles, this number might be different in your case
h.set_facecolor('none')
ax.legend(handles=handles, labels=labels, bbox_to_anchor=[1.02, 1.02], loc='upper left')
plt.tight_layout()
plt.show()