这是我的DataFrame的示例：

df = pd.DataFrame(index=[f"Movie {num}" for num in list(range(1,11))],data={'multiple':[3.71804985,2.7285631,4.43326563,3.50389018,1.64165414,3.2868803,5.25463654,2.90104506,3.52301071,2.97614833],'% Male': [47.89915966,52.02863962,41.6,43.43434343,51.87713311,44.26229508,40.89456869,63.01615799,57.94183445,44.91150442],'% Female ': [52.10084034,47.97136038,58.4,56.56565657,48.12286689,55.73770492,59.10543131,36.98384201,42.05816555,55.08849558]})

这是我用来创建子图的代码：

def corr_plots(person_type,country):  
    plt.figure(figsize=(20,15))
    plt.subplots_adjust(hspace=0.5)
    plt.subplots_adjust(wspace=0.25)

    for i,col in enumerate([col for col in df.columns if 'rev' not in col and 'multiple' not in col]):
        plt.subplot(5,4,i+1)
        sns.regplot(data=df,x=col,y='multiple')
        plt.xlabel('')
        plt.ylabel('')
        plt.suptitle(f'Correlation Plots for {country} {person_type.title()} Audience',y=0.95,fontsize=16,fontweight='bold')
        plt.title(f"{col} vs. Box Office Multiples",fontsize=10,fontweight='bold',pad=10)

        correlation = df[[col,'multiple']].corr().loc[col,'multiple']
        corr_legend = mpatches.Patch(color='white',label=f"r = {round(correlation,2)}")

        legend = plt.legend(loc='best',handles=[corr_legend],edgecolor='white')
        if correlation >= 0:
            for text in legend.get_texts():
                text.set_color("green")
                text.set_size(12)
        else:
            for text in legend.get_texts():
                text.set_color("red")
                text.set_size(12)

子图看起来像这样：

每个子图的x刻度的缩放比例都不同。 有人可以建议一种方法，在每个x勾号之后添加一个“％”符号，而不必明确定义每个子图的x勾号范围？

谢谢！