本质上是相同的问题here。 但是答案不再有效。
(用户@iayork提供的答案)涉及以下代码:
import matplotlib
import seaborn as sns; sns.set()
flights = sns.load_dataset("flights")
flights = flights.pivot("month", "year", "passengers")
g = sns.clustermap(flights)
for l in g.ax_row_dendrogram.lines:
l.set_linewidth(10)
for l in g.ax_col_dendrogram.lines:
l.set_linewidth(10)
但是正如用户@iayork指出的那样,它不再起作用,g.ax_col_dendrogram.lines现在返回一个空列表。
答案 0 :(得分:2)
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']])
# in newer versions, linecollections, instead of individual lines are used,
# so, loop through those
for a in g.ax_row_dendrogram.collections:
a.set_linewidth(10)
for a in g.ax_col_dendrogram.collections:
a.set_linewidth(10)