如何在 Seaborn 的 clustermap 树状图中指定线宽

问题描述

通常我会通过编辑 matplotlib.rcParams 来增加 matplotlib 的全局线宽.这似乎直接适用于 SciPy 的树状图 实现，但不包含 Seaborn 的集群图(使用 SciPy 的树状图).任何人都可以提出一种工作方法吗?

Normally I would increase matplotlib's global linewidths by editing the matplotlib.rcParams. This seems to work well directly with SciPy's dendrogram implementation but not with Seaborn's clustermap (which uses SciPy's dendrograms). Can anyone suggest a working method?

import matplotlib
matplotlib.rcParams['lines.linewidth'] = 10
import seaborn as sns; sns.set()

flights = sns.load_dataset("flights")
flights = flights.pivot("month", "year", "passengers")
g = sns.clustermap(flights)

推荐答案

对于较新版本的 seaborn(使用 0.7.1、0.9.0 测试)，这些行位于 LineCollection 中，而不是它们本身.所以它们的宽度可以改变如下:

for newer versions of seaborn (tested with 0.7.1, 0.9.0), the lines are in a LineCollection, rather than by themselves. So their width can be changed as follows:

import seaborn as sns
import matplotlib.pyplot as plt

# load data and make clustermap
df = sns.load_dataset('iris')
g = sns.clustermap(df[['sepal_length', 'sepal_width']])

for a in g.ax_row_dendrogram.collections:
    a.set_linewidth(10)

for a in g.ax_col_dendrogram.collections:
    a.set_linewidth(10)

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