如何在matplotlib中添加粗体注释文本 [英] How to add bold annotated text in matplotlib

问题描述

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 = 10.0font=matplotlib.font_manager.FontProperties()font.set_weight('粗体')text(0,1,":.2f".format(a), fontproperties=font)

我也尝试过:

  a = 10.0text(0,1,":.2f".format(a), weight='bold')

它们都不起作用，也没有抛出错误.

---

最小示例:

 将matplotlib.pyplot导入为plt定义主():plt.figure()plt.plot([0,1],[0,1])plt.text(0.5,0.5，"string"，weight ="bold")

matplotlib 版本:1.2.1

蟒蛇 3.3.2

解决方案

• 在 seaborn 中添加注释/文本也可以使用相同的方法.
• 可以使用 .text 或 .annotate 指定粗体

  • 原始 MRE

    • 当时可能存在错误，但来自 OP 的 MRE 可以正常工作.

    def main():plt.figure()plt.plot([0,1]，[0,1])plt.text(0.45，0.6，有重量"，重量=粗体")plt.text(0.45，0.35，"with fontweight"，fontweight ="bold")主要的()

    I want to make an annotated text in a plot using matplotlib. I have tried the following:

     a=10.0
     font=matplotlib.font_manager.FontProperties()
     font.set_weight('bold')
     text(0,1,":.2f".format(a), fontproperties=font)
    

    I have also tried:

     a=10.0
     text(0,1,":.2f".format(a), weight='bold')
    

    None of them work, and no error is thrown.

    ---

    minimal example:

    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

    python 3.3.2

    解决方案

    • Adding annotations / text also works in seaborn with the same methods.
    • Bold text can be specified with .text or .annotate
      • matplotlib.pyplot.text
        • Use the weight or fontweight parameter.
      • matplotlib.pyplot.annotate, which uses the same kwargs as .text.

    Imports, DataFrame & Plot Setup

    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'))
    

    Adding Annotations

    .annotate without bold

    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'

    plt.annotate('small counties; most vote for McCain', xy=(50000, 20), weight='bold',
                 xytext=(150000, 7), fontsize=10, arrowprops=dict(arrowstyle="->", color='r'))
    

    .text with weight='bold'

    plt.text(600000, 20, '2008 Swing-State Counties', weight='bold')
    plt.show()
    

    Final image:

    Original MRE

    • Perhaps there was a bug at the time, but the MRE from the OP, works without issue.

    def main():
        plt.figure()
        plt.plot([0,1], [0,1])
        plt.text(0.45, 0.6, "with weight", weight="bold")
        plt.text(0.45, 0.35, "with fontweight", fontweight="bold")
    
    
    main()
    

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