AttributeError: ‘AxesSubplot’ object has no attribute ‘bar_label’
目录
AttributeError: ‘AxesSubplot’ object has no attribute ‘bar_label’
问题：
想为seaborn可视化的分组条形图添加数值标签信息；
使用bar_label函数添加标签，但是，没有找到bar_label函数；发生错误；
import matplotlib as mpl
import seaborn as sns
new_n = [0.17,0.25,0.67,0.97]
old_n = [0.1,0.19,0.38,0.55]
labels = ['X','X','X','X','Y','Y','Y','Y']
data_count = {'group':labels,'values':old_n+new_n,'way':[0.5,1,2,3,0.5,1,2,3]}
df = pd.DataFrame(data_count)
df
import matplotlib as mpl
mpl.rcParams['font.sans-serif'] = ['SimHei']
mpl.rcParams['font.serif'] = ['SimHei']
chart = sns.barplot(y='values',x='group',hue='way',data=df);
chart.bar_label(ax.containers[0])
for p in chart.patches:
chart.annotate(p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
ha='center', va='center', fontsize=10, color='black', xytext=(0, 5),
textcoords='offset points')
plt.show()
解决：
AttributeError: ‘AxesSubplot’ object has no attribute ‘bar_label’
没有找到bar_label函数，有学者建议更新matplotlib，笔者更新后，仍然无效，使用如下方法；
import matplotlib as mpl
import seaborn as sns
new_n = [97,25,67,97]
old_n = [1,49,28,155]
labels = ['X','X','X','X','Y','Y','Y','Y']
data_count = {'group':labels,'values':old_n+new_n,'way':[0.5,1,2,3,0.5,1,2,3]}
df = pd.DataFrame(data_count)
df
import matplotlib as mpl
mpl.rcParams['font.sans-serif'] = ['SimHei']
mpl.rcParams['font.serif'] = ['SimHei']
chart.bar_label(ax.containers[0])
chart = sns.barplot(y='values',x='group',hue='way',data=df);
chart.bar_label(ax.containers[0])
for p in chart.patches:
chart.annotate(p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
ha='center', va='center', fontsize=10, color='black', xytext=(0, 5),
textcoords='offset points')
plt.show()
完整错误：
Original: https://blog.csdn.net/zhongkeyuanchongqing/article/details/125266330
Author: Data+Science+Insight
Title: AttributeError: ‘AxesSubplot‘ object has no attribute ‘bar_label‘
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