Using Pandas Value_Counts and matplotlib

Update

• pandas.Series.value_counts is a Series method
• Plot with pandas.Series.plot with kind='bar' or kind='barh'

import seaborn as sns

# test data, loads a pandas dataframe
df = sns.load_dataset('planets')

# display(df.head(3))
            method  number  orbital_period  mass  distance  year
0  Radial Velocity       1         269.300  7.10     77.40  2006
1  Radial Velocity       1         874.774  2.21     56.95  2008
2  Radial Velocity       1         763.000  2.60     19.84  2011

# plot value_counts of Series
ax = df.method.value_counts().plot(kind='barh')
ax.set_xscale('log')

Original Answer

I think you can use barh:

CountStatus.plot.barh()

Sample:

CountStatus = pd.value_counts(df['scstatus'].values, sort=True)
print CountStatus
AAC    8
AA     7
ABB    4
dtype: int64

CountStatus.plot.barh()