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Counting frequency of values in Pandas Series

schedule Aug 12, 2023
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SolutionDealing with missing values
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Solution

To count the frequency of values in a Pandas Series, use the value_counts(~) method:

s = pd.Series(["a","b","a","a","c"])
s.value_counts() # returns a Series
a 3
c 1
b 1
dtype: int64

Dealing with missing values

By default, the dropna=True, which means that missing values are not counted:

s = pd.Series(["a",np.nan,np.nan])
s.value_counts() # dropna=True
a 1
dtype: int64

To take into account missing values, set dropna=False:

s = pd.Series(["a",np.nan,np.nan])
s.value_counts(dropna=False)
NaN 2
a 1
dtype: int64

Related

Pandas Series | value_counts method
Returns the count of unique values in the Series.
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Published by Isshin Inada
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