python - Seaborn 显示一个条形图而不是多个图

Question

我的代码看起来像

ylst = [.1,.2,.3,.4,.5,.6,.7,.8]
xlst=["A","B","C","D","E","F","G","H"]
with PdfPages('probs.pdf') as pdf_pages:
    for i in range(0,len(xlst), 2):
        ax=sns.barplot(xlst[i:i+2], ylst[i:i+2])
        ax.axes.set_title('Which name', fontsize=24,color="b",alpha=0.3)
        ax.set_ylabel("Probability (%)",size = 17,color="r",alpha=0.5)

        for p in ax.patches:
            ax.annotate(str(p.get_height()), (p.get_x() * 1.005, p.get_height() * 1.005))
        pdf_pages.savefig()

我想要 2 行 2 列矩阵中的 4 个图。也就是说，左上图应显示 A 和 B，其值为 0.1 和 .2。然后，左下或右上图应显示值为 0.3 和 0.4 的 C 和 D。等等

但是，我得到的是:

我该如何解决这个问题？

Answer 1

我已经测试过这有效:

import matplotlib.pyplot as plt, seaborn as sns
from matplotlib.backends.backend_pdf import PdfPages

ylst = [.1,.2,.3,.4,.5,.6,.7,.8]
xlst=["A","B","C","D","E","F","G","H"]
with PdfPages('probs.pdf') as pdf_pages:
    fig,((ax1,ax2),(ax3,ax4)) = plt.subplots(2,2)
    list_of_axes = (ax1,ax2,ax3,ax4)
    for i,j in zip(range(0,len(xlst), 2),list_of_axes):
        sns.barplot(xlst[i:i+2], ylst[i:i+2],ax=j)
        j.axes.set_title('Which name', fontsize=24,color="b",alpha=0.3)
        j.set_ylabel("Probability (%)",size = 17,color="r",alpha=0.5)

        for p in j.patches:
            j.annotate(str(p.get_height()), (p.get_x() * 1.005, p.get_height() * 1.005))
    pdf_pages.savefig()
    plt.close()

我刚刚为每个子图分配了一个轴，并将 .savefig() 移到了循环之外。