如何在条形图中按升序对条形进行排序？

Question

我有一个数据框df，可以df_c使用以下代码转换为该数据框：

df = pd.DataFrame(columns=["App","Feature1", "Feature2","Feature3",
                           "Feature4","Feature5",
                           "Feature6","Feature7","Feature8"], 
                  data=[["SHA",0,0,1,1,1,0,1,0],
                        ["LHA",1,0,1,1,0,1,1,0],
                        ["DRA",0,0,0,0,0,0,1,0],
                        ["FRA",1,0,1,1,1,0,1,1],
                        ["BRU",0,0,1,0,1,0,0,0],
                        ["PAR",0,1,1,1,1,0,1,0],
                        ["AER",0,0,1,1,0,1,1,0],
                        ["SHE",0,0,0,1,0,0,1,0]])
df_c = df.iloc[:, 1:].eq(1).sum().rename_axis('Feature').reset_index(name='Cou??nt')

然后，我使用matplotlib和seaborn创建条形图：

plt.figure(figsize=(12,8))
ax = sns.barplot(x="Feature", y="Count", data=df_c, palette=sns.color_palette("GnBu", 10), order=df_c['Feature'])
plt.xticks(rotation='vertical')
ax.grid(b=True, which='major', color='#d3d3d3', linewidth=1.0)
ax.grid(b=True, which='minor', color='#d3d3d3', linewidth=0.5)
plt.show()

我想按从左到右的升序对栏进行排序。如果我这样做order=df_c['Count']，则条形消失。

Answer 1

最简单的方法是在绘制之前进行排序：

df_c = df_c.sort_values('Count')