给定以下示例数据
data =\
{'q1': [6, 4, 4, 4, 6, 6, 6, 4, 6, 6, 6, 6],
'q2': [3, 3, 3, 4, 3, 3, 4, 3, 4, 3, 4, 1],
'q3': [6, 3, 4, 4, 4, 4, 6, 6, 6, 6, 4, 1],
'q4': [3, 6, 6, 6, 6, 6, 4, 4, 6, 4, 6, 4],
'q5': [4, 3, 3, 3, 3, 6, 6, 4, 4, 6, 3, 4],
'q6': [3, 3, 4, 4, 6, 3, 3, 1, 6, 4, 4, 4],
'q7': [4, 3, 3, 3, 3, 6, 4, 1, 4, 1, 4, 1],
'q8': [4, 4, 1, 6, 4, 6, 4, 1, 6, 1, 4, 1],
'q9': [4, 6, 4, 3, 4, 3, 4, 6, 6, 4, 3, 4],
'q10': [3, 4, 1, 3, 4, 3, 3, 6, 6, 3, 4, 4]}
这是我的代码:
import seaborn as sns
import pandas as pd
df = pd.DataFrame(data)
cm = sns.heatmap(df.T, annot=False, cbar=True)
cm.get_figure().savefig('heatmap.pdf')
这是输出:
我想做的是在右侧添加自定义 y 轴刻度,如下所示:
我该怎么做?我按照建议考虑使用 tick_params
here ,但这仅使用左侧相同的 y 刻度。
最佳答案
您可以创建双轴并设置其刻度和标签:
cm = sns.heatmap(df.T, annot=False, cbar=True)
# create the twin axis
ax_twin = cm.twinx()
# Set the limits of the y twin axis as the ones of the original y axis
ax_twin.set_ylim(cm.get_ylim())
# Set the position of the ticks in the twin axis
# copying the positions of the ticks on the original axis
ax_twin.set_yticks(cm.get_yticks())
# Set the labels of the just created ticks
ax_twin.set_yticklabels('abcdefghij')
# Save the figure, as before
cm.get_figure().savefig('heatmap.pdf')
这就是你得到的:
关于python - 如何在热图右侧添加自定义刻度,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/73919130/