import matplotlib.pyplot as plt import numpy as np # Data + parameters fontsize = 20 t = np.arange(0.0, 6.0, 1) xticklabels = ['Full', 'token emb', 'char emb', 'char LSTM', 'token LSTM', 'feed forward','ANN'] # Plotting fig = plt.figure(1) ax = fig.add_subplot(111) ...
Seaborn是一个基于matplotlib的数据可视化库,提供了更简单的接口来设置刻度标签。 示例代码: 代码语言:txt 复制 import seaborn as sns # 假设有一个数据集data,包含了索引号和对应的标签 data = {'index': [0, 1, 2, 3], 'labels': ['标签1', '标签2', '标签3', '标签4']} # 设置x轴的...
您可以循环遍历每个子图，将其设置为当前轴，并对每个子图调用plt.xticks()。
A factorplot returns its own class which has a method called set_xticklabels(rotation). This is different from the set_xticklabels method of the matplotlib Axes. In the linked question's answers there are also other options which you may use ax = sns.boxplot(x='categories', y='oxygen...
import matplotlib.pyplot as plt import numpy as np y = np.arange(10) ax = plt.subplot() ax.plot(y) xticks = ax.get_xticks() xticklabels = ax.get_xticklabels() ax.set_xticks(xticks) ax.set_xticklabels(xticklabes, rotation=90) ...