convert series returned by pandas.Series.value_counts to a dictionary

Question

I am trying to use pandas.Series.value_counts to get the frequency of values in a dataframe, so I go through each column and get values_count , which gives me a series:

Answer 1

Extract keys and values for the dictionary from your_column and then zip it together.

values = df['your_column'].value_counts(dropna=False).keys().tolist()
counts = df['your_column'].value_counts(dropna=False).tolist()
value_dict = dict(zip(values, counts))

Answer 2

If you want to convert a Series to a dict, you could call dict or .to_dict():

>>> s
high        3909
average     3688
less         182
veryless      62
dtype: int64
>>> type(s)
<class 'pandas.core.series.Series'>
>>> dict(s)
{'high': 3909, 'average': 3688, 'veryless': 62, 'less': 182}
>>> s.to_dict()
{'high': 3909, 'average': 3688, 'veryless': 62, 'less': 182}