是否可以将数字放在 matplotlib 直方图之上？

Question

import matplotlib.pyplot as plt
import numpy as np

randomnums = np.random.normal(loc=9,scale=6, size=400).astype(int)+15

输出：

array([25, 22, 19, 26, 24,  9, 19, 32, 30, 25, 29, 17, 21, 14, 17, 27, 27,
       28, 17, 17, 20, 21, 16, 28, 20, 24, 15, 20, 20, 13, 33, 21, 30, 27,
        8, 22, 24, 25, 23, 13, 24, 20, 16, 32, 15, 26, 34, 16, 21, 21, 28,
       22, 23, 18, 20, 22, 23, 22, 23, 26, 22, 25, 19, 29, 14, 27, 21, 23,
       24, 19, 25, 15, 22, 23, 19, 19, 23, 21, 22, 17, 25, 15, 24, 25, 23 ...

h = sorted(randomnums)
plt.hist(h,density=False)
plt.show()

输出：

根据我的研究，我只发现如何在条形图上绘制数字，但我想要的是在直方图上绘制。可能吗？

Answer 1

我在问题的评论中链接的 answer 的改编版本。非常感谢post!

下方评论中的建议

import matplotlib.pyplot as plt
import numpy as np

h = np.random.normal(loc=9,scale=6, size=400).astype(int)+15

fig, ax = plt.subplots(figsize=(16, 10))
ax.hist(h, density=False)

for rect in ax.patches:
    height = rect.get_height()
    ax.annotate(f'{int(height)}', xy=(rect.get_x()+rect.get_width()/2, height), 
                xytext=(0, 5), textcoords='offset points', ha='center', va='bottom')

...给出例如

另请参阅：matplotlib.axes.Axes.annotate。

是否可以将数字放在 matplotlib 直方图之上？

Is it possible to put numbers on top of a matplot histogram?

python

statistics

numpy

matplotlib

histogram