How to extract values from Pandas value_counts() results

Question

After doing df.['ColumnName'].value_counts() to count unique strings in a column of a data frame, I get results in the following format:

a    4
b    2
c    5
Name: ColumnName, dtype: int64

How can I extract values from these results? For example, how can I get 'b' or 2?

Answer 1

It is Series , so use methods Series.at , Series.iat , Series.loc , Series.iloc :

s = df['ColumnName'].value_counts()

Test :

s = pd.Series([4,2,5], index=['a','b','c'])

#get value by label
s.loc['b'] #2
s.at['b'] #2

#get value by position
s.iloc[1]  #2
s.iat[1]  #2
s[1] #2

#get index by value
s.index[s.eq(2)].item() #b

#get index value by position
s.index[1] #b

Answer 2

You could use index to get the values from the series, for example

df['ColumnName'].value_counts()[0] output 4

df['ColumnName'].value_counts()[1] output 2

df['ColumnName'].value_counts()[2] output 5

Or you could store the output in a DataFrame

pd.DataFrame(df['ColumnName'].value_counts())

output:

     ColumnName
a    4
b    2
c    5

Answer 3

I generally save it as a dict which I feel more comfortable manipulating

s = df['ColumnName'].value_counts().to_dict()

{'c': 5, 'a': 4, 'b': 2}

s['b'] #gives 2

Can get keys, values using .keys() , .values()

Answer 4

to extract values from df['ColumnName'].value_counts():

df['ColumnName'].value_counts().values.tolist()