本文介绍了在 Seaborn 中隐藏轴标题的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
鉴于以下热图,我将如何删除轴标题(月"和年")?
Given the following heatmap, how would I remove the axis titles ('month' and 'year')?
import seaborn as sns
# Load the example flights dataset and conver to long-form
flights_long = sns.load_dataset("flights")
flights = flights_long.pivot("month", "year", "passengers")
# Draw a heatmap with the numeric values in each cell
sns.heatmap(flights, annot=True, fmt="d", linewidths=.5)
推荐答案
在调用 sns.heatmap
之前,使用 plt.subplots
获取坐标轴,然后使用 set_xlabel
和 set_ylabel
.例如:
Before calling sns.heatmap
, get the axes using plt.subplots
, then use set_xlabel
and set_ylabel
. For example:
import seaborn as sns
import matplotlib.pyplot as plt
# Load the example flights dataset and conver to long-form
flights_long = sns.load_dataset("flights")
flights = flights_long.pivot("month", "year", "passengers")
# ADDED: Extract axes.
fig, ax = plt.subplots(1, 1, figsize = (15, 15), dpi=300)
# Draw a heatmap with the numeric values in each cell
sns.heatmap(flights, annot=True, fmt="d", linewidths=.5)
# ADDED: Remove labels.
ax.set_ylabel('')
ax.set_xlabel('')
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