Treemap -更改字体

Question

因此，我使用以下代码在Matplotlib中生成树映射。想知道是否有可能将第一行加粗，并增加字体大小。

所以：

加粗和更大: 0：

更小，没有加粗: 480

    import matplotlib.pyplot as plt
    import squarify    # pip install squarify (algorithm for treemap)
    import pandas as pd
    import psycopg2
    distributionlist = [480, 104, 55, 35, 29, 12, 18, 22, 14, 11, 144]
    group = ["0", "1", "2", "3", "4", "5", "6", "7","8","9","10+"]

    labels = ["%s:\n%s" % (label) for label in zip(group, distributionlist)]



    percents = [8,3,4,2,8,3,4,2]
    # Create a data frame with fake data
    df = pd.DataFrame({'nb_people': distributionlist, 'group':group })
    #df = pd.DataFrame({'nb_people':[8,3,4,2], 'group':["group A", "group B", "group C", "group D"] })

    # plot it

    squarify.plot(sizes=df['nb_people'], label=labels, alpha=.8)

    #squarify.plot(sizes=df['nb_people'], label=df['group'], alpha=.8 , color=colors )
    plt.axis('off')
    plt.show()

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Answer 1

通常单个matplotlib文本只有一种大小和一种样式。在这里，标签被创建为一个带换行符的字符串。

您可以使用

ax = squarify.plot(sizes=df['nb_people'], label=labels, alpha=.8)
ax.texts[0].set_size(30)
ax.texts[0].set_weight('bold')

要将文本设置为较大和粗体，请执行以下操作。

要拆分文本并仅设置第一行的粗细：

ax = squarify.plot(sizes=df['nb_people'], label=labels, alpha=.8)
text_parts = ax.texts[0].get_text().split("\n")
ax.texts[0].set_text(text_parts[0] + "\n")
ax.texts[0].set_size(30)
x, y = ax.texts[0].get_position()
new_text = ax.text(x, y, "\n" + text_parts[1], ha=ax.texts[0].get_ha(), va=ax.texts[0].get_va())
new_text.set_fontproperties(ax.texts[0].get_fontproperties())
ax.texts[0].set_weight('bold')

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