Solution 1:

Are you getting errors, or just not sure where to start?

%pylab inline
import pandas as pd
import matplotlib.pyplot as plt

df2 = df.groupby(['Name', 'Abuse/NFF'])['Name'].count().unstack('Abuse/NFF').fillna(0)
df2[['abuse','nff']].plot(kind='bar', stacked=True)

stacked bar plot

Solution 2:

That should help

df.groupby(['NFF', 'ABUSE']).size().unstack().plot(kind='bar', stacked=True)

Solution 3:

Maybe you can use pandas crosstab function

test5 = pd.crosstab(index=faultdf['Site Name'], columns=faultdf['Abuse/NFF'])

test5.plot(kind='bar', stacked=True)

Solution 4:

If you want to change the size of plot the use arg figsize

df.groupby(['NFF', 'ABUSE']).size().unstack()
      .plot(kind='bar', stacked=True, figsize=(15, 5))