Why? Coz Seaborn gives you something better looking by default :)
series1= starterDf['col_of_interest'].value_counts()
df_for_sns = series1.rename_axis('col_of_interest').reset_index(name='counts') #change counts if you w
import seaborn as sns
sns.set_style('white') # if you want..
sns.barplot( y='col_of_interest', x="counts", data=df_for_sns)
sns.despine( top=True, bottom=True , left=True, right=True )
Thanks to : https://stackoverflow.com/questions/47136436/python-pandas-convert-value-counts-output-to-dataframe
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