如何使用seaborn为我的DataFrame创建堆积条形图?

时间:2017-11-06 13:37:23

标签: python pandas matplotlib seaborn

我有一个DataFrame df

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]])

我想创建一个堆积条形图,以便每个堆栈对应App,而Y轴将包含1值的计数,X轴将为Feature

它应该与此条形图类似,唯一的区别是现在我想看到堆栈条和带颜色的图例:

df_c = df.iloc[:, 1:].eq(1).sum().rename_axis('Feature').reset_index(name='Cou‌​nt')
df_c = df_c.sort_values('Count')

plt.figure(figsize=(12,8))
ax = sns.barplot(x="Feature", y="Count", data=df_c, palette=sns.color_palette("GnBu", 10))
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()

1 个答案:

答案 0 :(得分:25)

你可以使用pandas plot作为@Bharath建议:

import seaborn as sns
sns.set()
df.set_index('App').T.plot(kind='bar', stacked=True)

输出:

enter image description here

更新:

来自matplotlib.colors的

导入ListedColormap     df.set_index( '应用')\       .reindex_axis(df.set_index('App')。sum()。sort_values()。index,axis = 1)\       .T.plot(kind ='bar',stacked = True,               colormap = ListedColormap(sns.color_palette(“GnBu”,10)),               figsize =(12,6))

已弃用更新后的Pandas 0.21.0 + reindex_axis,请使用reindex

from matplotlib.colors import ListedColormap
    df.set_index('App')\
      .reindex(df.set_index('App').sum().sort_values().index, axis=1)\
      .T.plot(kind='bar', stacked=True,
              colormap=ListedColormap(sns.color_palette("GnBu", 10)), 
              figsize=(12,6))

输出:

enter image description here