如何停止 matplotlib 中重叠的多个子图？

Question

我想并排显示两个饼图，也就是甜甜圈图。但是使用下面的代码，我得到的只是重叠图。我尝试使用各种值进行子图调整，但图例总是重叠。把函数中所有不相关的代码都剪掉了

#Function to draw graphs for sports data
        
    #Create figure with two subplots
    fig,ax=plt.subplots(1,2,subplot_kw=dict(aspect="equal"))
    j=0
    
    #Loop through all columns we want to graph
    for type in types:
                  
        #Create a pie chart
        wedges, texts, autotexts = ax[j].pie(to_plot,         
                explode=explode,  
                labels=labels,     
                colors=colors,      
                autopct=lambda pct: func(pct, data), 
                pctdistance=0.8,    
                counterclock=False, 
                startangle=90,      
                wedgeprops={'width': 0.75}, 
                radius=1.75       
                )

        #Set label colors
        for text in texts:
            text.set_color('grey')

        #Create legend
        ax[j].legend(wedges, leg_labels,
            title=title,
            title_fontsize="x-large",
            loc="center left",
            bbox_to_anchor=(1.5, 0, 0.5, 1),
            prop={'size': 12})

        j += 1
    
    plt.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=0.5, hspace=None)
    plt.show()
    return

Answer 1

确定图例位置的 bbox 设置设置在每个饼图的右侧，因此它们重叠。因此，我们可以通过设置图表各自的位置来避免图例重叠。

import matplotlib.pyplot as plt

# Some data
labels = 'Frogs', 'Hogs', 'Dogs', 'Logs'
fracs = [15, 30, 45, 10]
titles = ['20 members\nfollow Basketball','23 members\nfollow Basketball']
legend_pos = ['center left','center right']
bboxes = [(-1.0, 0, 0.5, 1),(1.5, 0, 0.5, 1)]
# Make figure and axes
fig, axs = plt.subplots(1, 2, subplot_kw=dict(aspect="equal"))

for i in range(2):
    wedges, texts,_ = axs[i].pie(fracs,
                                 labels=labels,
                                 autopct='%.0f%%',
                                 shadow=True,
                                 explode=(0, 0.1, 0, 0),
                                 wedgeprops=dict(width=0.6))
    
    axs[i].legend(wedges,
                 labels,
                 title=titles[i],
                 title_fontsize="x-large",
                 loc=legend_pos[i],
                 bbox_to_anchor=bboxes[i],
                 prop={'size': 12})
    
plt.show()