在熊猫中一起显示所有饼图

Question

我有五个数据框

               pt       car     walk    bike
Normal day     28.80    36.82   30.83   3.55
start          28.82    36.83   30.80   3.55
Equilibrium    28.51    36.95   30.98   3.56
Medium         31.74    33.80   32.23   2.23
Equilibrium2   32.06    34.04   30.78   3.12

我用下面的代码

fig, axes = plt.subplots(3, 3, figsize=(14, 10))
colors = ['yellowgreen','lightcoral','pink','lightskyblue']

for i, (idx, row) in enumerate(df.iterrows()):
    ax = axes[i // 3, i % 3]
    row = row[row.gt(row.sum() * .001)]
    #ax.pie(row, autopct='%1.1f%%',startangle=30, color=colors)
    ax.pie(row,  colors=colors,
                 autopct='%0.01f%%', startangle=30, pctdistance=0.7, radius=1)
    ax.set_title(idx)

    
#fig.legend(('pt','transit_walk','car', 'walk', 'bike'), prop={'size': 8}, title = 'Scenarios')
fig.legend(labels=df.columns,fontsize= 14,loc="center right")
fig.subplots_adjust(hspace=0.1, wspace=0.01)

我制作了这个图：

但是，我想要这张图片：

如何将它们结合起来？

Answer 1

试试这样的：

fig, ax = plt.subplots()
colors = ['yellowgreen','lightcoral','pink','lightskyblue']
size = 1/len(df.index)
yticks = []
yticklabels = []
for i, (idx, row) in enumerate(df.iterrows()):
    row = row[row.gt(row.sum() * .001)]
    ax.pie(row, 
        colors=colors, 
        radius=1-size*i,
        autopct='%0.01f%%',
        startangle=90,
        pctdistance=0.9,
        wedgeprops=dict(width=size),
        counterclock=False)
    yticks.append(i*size)
    yticklabels.append(idx)

ax.set_yticks(yticks)
ax.set_yticklabels(yticklabels)
fig.legend(labels=df.columns,fontsize= 14,loc="center right")