pandas Series.value_counts returns inconsistent order for equal count strings

Question

When I run the code below:

s = pandas.Series([\'c\', \'a\', \'b\', \'a\', \'b\'])
print(s.value_counts())

Sometimes I get this:

<         


        

Answer 1

Adding a reindex after value_counts

df.value_counts().reindex(df.unique())
Out[353]: 
a    1
b    1
dtype: int64

Update

s.value_counts().sort_index().sort_values()