Python matplotlib 中的粗体注释文本
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/36162414/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
提示：将鼠标放在中文语句上可以显示对应的英文。显示中英文
时间：2020-08-19 17:30:04 来源:igfitidea点击:
bold annotated text in matplotlib
提问by simona
I want to make an annotated text in a plot using matplotlib. I have tried the following:
我想使用 matplotlib 在绘图中制作带注释的文本。我尝试了以下方法：
a=10.0
font=matplotlib.font_manager.FontProperties()
font.set_weight('bold')
text(0,1,":.2f".format(a), fontproperties=font)
I have also tried:
我也试过：
a=10.0
text(0,1,":.2f".format(a), weight='bold')
None of they work.
他们都没有工作。
minimal example:
最小的例子：
import matplotlib.pyplot as plt
def main():
plt.figure()
plt.plot([0,1],[0,1])
plt.text(0.5,0.5,"string",weight="bold")
matplotlib version: 1.2.1
matplotlib 版本：1.2.1
python 3.3.2
蟒蛇 3.3.2
回答by Trenton McKinney
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
swing = pd.read_csv('https://assets.datacamp.com/production/repositories/469/datasets/e079fddb581197780e1a7b7af2aeeff7242535f0/2008_swing_states.csv')
plt.figure(figsize=(10,10))
sns.scatterplot(x='total_votes', y='dem_share', data=swing, hue='state')
plt.xlabel('total votes')
plt.ylabel('% of vote for Obama')
plt.xticks([x for x in range(0, 1000000, 100000)], rotation=40)
plt.yticks([x for x in range(0, 100, 10)])
# Create a Rectangle patch
plt.gca().add_patch(Rectangle((400000, 52), 500000, 34, linewidth=1, edgecolor='b', facecolor='none'))
plt.gca().add_patch(Rectangle((0, 5), 50000, 45, linewidth=1, edgecolor='r', facecolor='none'))
Annotate without bold
注释不加粗
plt.annotate('12 largest counties; most vote for Obama', xy=(650000, 52),
xytext=(400000, 35), fontsize=10, arrowprops=dict(arrowstyle="->", color='b'))
Annotate with weight='bold'
注释与 weight='bold'
plt.annotate('small counties; most vote for McCain', xy=(50000, 20), weight='bold',
xytext=(150000, 7), fontsize=10, arrowprops=dict(arrowstyle="->", color='r'))
plt.show()
Final image:
最终图像：
