Python Matplotlib 柱状图加数值

最新推荐文章于 2024-10-06 15:40:00 发布

转载最新推荐文章于 2024-10-06 15:40:00 发布 · 4k 阅读

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原文链接：https://blog.youkuaiyun.com/weixin_44521703/article/details/101937540

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该博客介绍了如何使用Python的Matplotlib库在柱状图上添加数值，通过`auto_label`和`auto_text`两个函数实现。示例代码展示了创建男女成绩对比的柱状图，并在每个柱子上标注具体数值的方法，有助于增强图表的可读性。

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柱状图加数值也是一项常规操作，这里采用的函数是text，主要获取加入text的位置与数值即可，因此，详细代码如下：
这里写了auto_label与auto_text，两个都可以用，本人更喜欢用auto_text

import matplotlib
import matplotlib.pyplot as plt
import numpy as np


def auto_label(rects):
    for rect in rects:
        height = rect.get_height()
        plt.annotate('{}'.format(height), # put the detail data
                    xy=(rect.get_x() + rect.get_width() / 2, height), # get the center location.
                    xytext=(0, 3),  # 3 points vertical offset
                    textcoords="offset points",
                    ha='center', va='bottom')


def auto_text(rects):
    for rect in rects:
        plt.text(x=rect.get_x()+0.1, y=rect.get_height(), s=rect.get_height(), ha='left', va='bottom')


labels = ['G1', 'G2', 'G3', 'G4', 'G5']
men_means = [20, 34, 30, 35, 27]
women_means = [25, 32, 34, 20, 25]

index = np.arange(len(labels))
width = 0.2

fig, ax = plt.subplots()
rect1 = ax.bar(index - width / 2, men_means, color ='lightcoral', width=width, label ='Men')
rect2 = ax.bar(index + width / 2, women_means, color ='springgreen', width=width, label ='Women')

ax.set_title('Scores by gender')
ax.set_xticks(ticks=index)
ax.set_xticklabels(labels)
ax.set_ylabel('Scores')

ax.set_ylim(0, 50)
# auto_label(rect1)
# auto_label(rect2)
auto_text(rect1)
auto_text(rect2)

ax.legend(loc='upper right', frameon=False)
fig.tight_layout()
plt.savefig('2.tif', dpi=300)
plt.show()

转自：Python Matplotlib 柱状图加数值_Sound_of_ Silence的博客-优快云博客_python柱状图加数字

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