我正在关注这个example https://seaborn.pydata.org/generated/seaborn.scatterplot.html我想创建更大的气泡,但无论我将尺寸列乘以多大,它们仍然很小,是否需要调整某种比例因子?我在文档中找不到它。
import seaborn as sns; sns.set()
import matplotlib.pyplot as plt
tips = sns.load_dataset("tips")
ax = sns.scatterplot(x="total_bill", y="tip", data=tips)
cmap = sns.cubehelix_palette(dark=.3, light=.8, as_cmap=True)
ax = sns.scatterplot(x="total_bill", y="tip",
hue="size", size="size",
palette=cmap,
data=tips)
tips['size'] = 100 * tips['size']
ax = sns.scatterplot(x="total_bill", y="tip",
hue="size", size="size",
palette=cmap,
data=tips)
示例代码here https://colab.research.google.com/drive/1IQIXmrUg0FduofEti-jJK5tAtSdE-iz7