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Counting frequency of values in Pandas Series

schedule Aug 12, 2023
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PythonPandas
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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 3c 1b 1dtype: 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 1dtype: int64 ```

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

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