You could use pandas plot as @Bharath suggest:
import seaborn as sns
sns.set()
df.set_index('App').T.plot(kind='bar', stacked=True)
Output:
Updated:
from matplotlib.colors import ListedColormap
df.set_index('App')\
.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))
Updated Pandas 0.21.0+ reindex_axis is deprecated, use 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:
