如何为具有对数刻度的seaborn热图以纯数字显示刻度?

问题描述

我正在使用具有对数刻度的 seaborn 生成热图.如何将颜色条标签从科学记数法更改为普通数字.

I am generating a heatmap using seaborn which has a logarithmic scale. How can I change the colorbar labels from scientific notation to plain number.

import math
from matplotlib.colors import LogNorm
vmax=2
vmin=0.5
center = (vmax+vmin)/2
log_norm = LogNorm(vmin=vmin, vmax=vmin)
cbar_ticks = [0.5, 0.66, 1, 1.5, 2]
ax = sns.heatmap(corr, square=True, mask=mask, cmap=cmap_type, linewidths=.5, vmax=vmax, vmin=vmin, norm=log_norm, cbar_kws={"ticks": cbar_ticks}, center=center)

以下代码解决了科学记数法的问题:

The following code fixes the problem with scientific notation:

    import matplotlib.ticker as tkr
    formatter = tkr.ScalarFormatter(useMathText=True)
    formatter.set_scientific(False)
    cbar_kws={"ticks": cbar_ticks, "format": formatter}

但是 norm=log_norm 正在添加额外的刻度(请参见下图).如何删除这些?

but norm=log_norm is adding additional ticks (Please see image below). How do I remove these?

推荐答案

以下代码有帮助.

对于问题的第一部分添加格式"在 cbar_kws 参数帮助.(https://stackoverflow.com/a/35419495/8881141):

For the first part of the problem adding "format" in cbar_kws parameters helped. (https://stackoverflow.com/a/35419495/8881141):

import matplotlib.ticker as tkr
formatter = tkr.ScalarFormatter(useMathText=True)
formatter.set_scientific(False)

ax = sns.heatmap(corr, square=True, mask=mask, cmap=cmap_type, linewidths=.5, vmax=vmax, vmin=vmin, norm=log_norm, cbar_kws={"ticks": cbar_ticks, "format": formatter}, center=center)

对于由 matplotlib 中的错误引起的第二部分，添加以下内容将删除次要刻度.(https://stackoverflow.com/a/65676007/11897903):

For the second part, which is caused due to a bug in matplotlib, adding the following removes the minor ticks. (https://stackoverflow.com/a/65676007/11897903):

ax.collections[0].colorbar.ax.yaxis.set_ticks([], minor=True)

这篇关于如何为具有对数刻度的seaborn热图以纯数字显示刻度?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！