[英]How to add data labels to seaborn barplot?
我有以下代码可以在 seaborn 中生成条形 plot
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
print(df):
A B C D
0 15 21 13 5
1 14 94 99 14
2 11 11 13 69
3 27 90 37 6
4 51 93 92 24
.. .. .. .. ..
95 45 40 85 62
96 44 48 61 43
97 39 66 72 72
98 51 97 17 32
99 51 42 29 15
probbins = [0,10,20,30,40,50,60,70,80,90,100]
df['Groups'] = pd.cut(df['D'],bins=probbins)
plt.figure(figsize=(15,6))
chart = sns.barplot(x=df['Groups'], y=df['C'],estimator=sum,ci=None)
chart.set_title('Profit/Loss')
chart.set_xticklabels(chart.get_xticklabels(), rotation=30)
plt.show()
这给了我:
如何简单地将数据标签添加到此 plot? 任何帮助将非常感激!
对于那些对我如何解决它感兴趣的人:
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
print(df):
A B C D
0 31 11 65 15
1 83 21 5 87
2 16 6 81 41
3 91 78 95 70
4 26 51 26 61
.. .. .. .. ..
95 31 18 91 24
96 73 97 42 45
97 76 22 2 36
98 12 43 98 27
99 33 96 67 68
probbins = [0,10,20,30,40,50,60,70,80,90,100]
df['Groups'] = pd.cut(df['D'],bins=probbins)
plt.figure(figsize=(15,6))
chart = sns.barplot(x=df['Groups'], y=df['C'],estimator=sum,ci=None)
chart.set_title('Profit/Loss')
chart.set_xticklabels(chart.get_xticklabels(), rotation=30)
# annotation here
for p in chart.patches:
chart.annotate("%.0f" % 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()
从 matplotlib 3.4.0 开始,您可以用内置的Axes.bar_label
替换注释循环。
在您的代码中, chart
是Axes
object,因此您可以这样做:
chart.bar_label(chart.containers[0])
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