在条形图上显示值 [英] Displaying of values on barchart

问题描述

我发现了几个与此主题类似的帖子.但是他们对我没有帮助.

I've found a couple of similar postings to this topic. But they wasn't helpful for me.

我是Python和Seaborn的新手.

I'm relatively new to Python and Seaborn.

这是我的代码:

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")

我只是想在每个小节的顶部显示y_axis的值.

I'm just trying to display the values from the y_axis on top of every bar.

推荐答案

浏览补丁并注释栏.

import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

x_axis = ["A", "B","C","D","E","F"]
y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]

plt.ylabel('Accuracy')
plt.title('Accuracy of Classifier')

g=sns.barplot(x_axis, y_axis, color="red")
ax=g
#annotate axis = seaborn axis
for p in ax.patches:
             ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
                 ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
                 textcoords='offset points')
_ = g.set_ylim(0,120) #To make space for the annotations

输出:

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