如何使用seaborn为我的DataFrame创建堆积条形图[重复]

我有一个数据框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]])

# display(df)
   App  Feature1  Feature2  Feature3  Feature4  Feature5  Feature6  Feature7  Feature8
0  SHA         0         0         1         1         1         0         1         0
1  LHA         1         0         1         1         0         1         1         0
2  DRA         0         0         0         0         0         0         1         0
3  FRA         1         0         1         1         1         0         1         1
4  BRU         0         0         1         0         1         0         0         0
5  PAR         0         1         1         1         1         0         1         0
6  AER         0         0         1         1         0         1         1         0
7  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 轴将包含计数1值和 X 轴将是Feature.

它应该与此条形图类似，唯一的区别是现在我想查看堆栈条形图和带有颜色的图例：

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

您可以按照 @Bharath 建议使用 pandas 情节：

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

Output:

Updated:

从 matplotlib.colors 导入 ListedColormap df.set_index('应用程序')\ .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)), 图大小=(12,6))

更新了熊猫 0.21.0+reindex_axis已弃用，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))

Output: