如果你坚持使用长名称和特定字体大小,我建议用水平条形图代替。我通常更喜欢标签较长的水平图,因为不旋转的文本更容易阅读(这也可能使字体大小进一步减小一步),添加换行符也会有所帮助。
下面是一个带有笨拙标签的图形示例:
import pandas as pd
import seaborn as sns # to get example data easily
iris = sns.load_dataset('iris')
means = iris.groupby('species').mean()
my_long_labels = ['looooooong_versicolor', 'looooooooog_setosa', 'looooooooong_virginica']
# Note the simpler approach of setting fontsize compared to your question
ax = means.plot(kind='bar', y=['sepal_length', 'sepal_width'], fontsize=15, rot=25)
ax.set_xlabel('')
ax.set_xticklabels(my_long_labels)
我将其更改为水平条形图:
ax = means.plot(kind='barh', y=['sepal_length', 'sepal_width'], fontsize=15)
ax.set_ylabel('')
ax.set_yticklabels(my_long_labels)
ax = means.plot(kind='barh', y=['sepal_length', 'sepal_width'], fontsize=15, rot=0)
ax.set_ylabel('')
ax.set_yticklabels([label.replace('_', '\n') for label in my_long_labels])
这也适用于垂直条:
ax = means.plot(kind='bar', y=['sepal_length', 'sepal_width'], fontsize=15, rot=0)
ax.set_xlabel('')
ax.set_xticklabels([label.replace('_', '\n') for label in my_long_labels])
最后,你也可以把文本放在条内,但这很难阅读。
ax = means.plot(kind='barh', y=['sepal_length', 'sepal_width'], fontsize=15)
ax.set_ylabel('')
ax.set_yticklabels(my_long_labels, x=0.03, ha='left', va='bottom')